WorldWideScience

Sample records for machine vision industry

  1. Industrial Inspection with Open Eyes: Advance with Machine Vision Technology

    Energy Technology Data Exchange (ETDEWEB)

    Liu, Zheng; Ukida, H.; Niel, Kurt; Ramuhalli, Pradeep

    2015-10-01

    Machine vision systems have evolved significantly with the technology advances to tackle the challenges from modern manufacturing industry. A wide range of industrial inspection applications for quality control are benefiting from visual information captured by different types of cameras variously configured in a machine vision system. This chapter screens the state of the art in machine vision technologies in the light of hardware, software tools, and major algorithm advances for industrial inspection. The inspection beyond visual spectrum offers a significant complementary to the visual inspection. The combination with multiple technologies makes it possible for the inspection to achieve a better performance and efficiency in varied applications. The diversity of the applications demonstrates the great potential of machine vision systems for industry.

  2. Trends and developments in industrial machine vision: 2013

    Science.gov (United States)

    Niel, Kurt; Heinzl, Christoph

    2014-03-01

    When following current advancements and implementations in the field of machine vision there seems to be no borders for future developments: Calculating power constantly increases, and new ideas are spreading and previously challenging approaches are introduced in to mass market. Within the past decades these advances have had dramatic impacts on our lives. Consumer electronics, e.g. computers or telephones, which once occupied large volumes, now fit in the palm of a hand. To note just a few examples e.g. face recognition was adopted by the consumer market, 3D capturing became cheap, due to the huge community SW-coding got easier using sophisticated development platforms. However, still there is a remaining gap between consumer and industrial applications. While the first ones have to be entertaining, the second have to be reliable. Recent studies (e.g. VDMA [1], Germany) show a moderately increasing market for machine vision in industry. Asking industry regarding their needs the main challenges for industrial machine vision are simple usage and reliability for the process, quick support, full automation, self/easy adjustment at changing process parameters, "forget it in the line". Furthermore a big challenge is to support quality control: Nowadays the operator has to accurately define the tested features for checking the probes. There is an upcoming development also to let automated machine vision applications find out essential parameters in a more abstract level (top down). In this work we focus on three current and future topics for industrial machine vision: Metrology supporting automation, quality control (inline/atline/offline) as well as visualization and analysis of datasets with steadily growing sizes. Finally the general trend of the pixel orientated towards object orientated evaluation is addressed. We do not directly address the field of robotics taking advances from machine vision. This is actually a fast changing area which is worth an own

  3. Machine Vision For Industrial Control:The Unsung Opportunity

    Science.gov (United States)

    Falkman, Gerald A.; Murray, Lawrence A.; Cooper, James E.

    1984-05-01

    Vision modules have primarily been developed to relieve those pressures newly brought into existence by Inspection (QUALITY) and Robotic (PRODUCTIVITY) mandates. Industrial Control pressure stems on the other hand from the older first industrial revolution mandate of throughput. Satisfying such pressure calls for speed in both imaging and decision making. Vision companies have, however, put speed on a backburner or ignore it entirely because most modules are computer/software based which limits their speed potential. Increasingly, the keynote being struck at machine vision seminars is that "Visual and Computational Speed Must Be Increased and Dramatically!" There are modular hardwired-logic systems that are fast but, all too often, they are not very bright. Such units: Measure the fill factor of bottles as they spin by, Read labels on cans, Count stacked plastic cups or Monitor the width of parts streaming past the camera. Many are only a bit more complex than a photodetector. Once in place, most of these units are incapable of simple upgrading to a new task and are Vision's analog to the robot industry's pick and place (RIA TYPE E) robot. Vision thus finds itself amidst the same quandries that once beset the Robot Industry of America when it tried to define a robot, excluded dumb ones, and was left with only slow machines whose unit volume potential is shatteringly low. This paper develops an approach to meeting the need of a vision system that cuts a swath into the terra incognita of intelligent, high-speed vision processing. Main attention is directed to vision for industrial control. Some presently untapped vision application areas that will be serviced include: Electronics, Food, Sports, Pharmaceuticals, Machine Tools and Arc Welding.

  4. Standard machine vision systems used in different industrial applications

    Science.gov (United States)

    Bruehl, Wolfgang

    1993-12-01

    Fully standardized machine vision systems won't require task specific hard- or software development. This allows short project realization times at minimized cost. This paper describes two very different applications which were realized only by menu-guided configuration of the QueCheck standard machine vision system. The first is an in-line survey of oilpump castings necessary to protect the following working machine from being damaged by castings not according to the specified geometrical measures. The second application shows the replacement of time consuming manual particle size analysis of fertilizer pellets, by a continuous analysis with a vision system. At the same time the data of the vision system can be used to optimize particle size during production.

  5. Machine Vision Handbook

    CERN Document Server

    2012-01-01

    The automation of visual inspection is becoming more and more important in modern industry as a consistent, reliable means of judging the quality of raw materials and manufactured goods . The Machine Vision Handbook  equips the reader with the practical details required to engineer integrated mechanical-optical-electronic-software systems. Machine vision is first set in the context of basic information on light, natural vision, colour sensing and optics. The physical apparatus required for mechanized image capture – lenses, cameras, scanners and light sources – are discussed followed by detailed treatment of various image-processing methods including an introduction to the QT image processing system. QT is unique to this book, and provides an example of a practical machine vision system along with extensive libraries of useful commands, functions and images which can be implemented by the reader. The main text of the book is completed by studies of a wide variety of applications of machine vision in insp...

  6. Machine vision analysis for industrial beet color change kinetics and total soluble solid content

    Science.gov (United States)

    A machine vision system (MVS) for the measurement of color change kinetics in crushed industrial beet to evaluate the total soluble solid content (°Brix) was developed in this study. It is expected that higher the °Brix faster the color change and modeling this color change kinetics helps in assessi...

  7. Ethical, environmental and social issues for machine vision in manufacturing industry

    Science.gov (United States)

    Batchelor, Bruce G.; Whelan, Paul F.

    1995-10-01

    Some of the ethical, environmental and social issues relating to the design and use of machine vision systems in manufacturing industry are highlighted. The authors' aim is to emphasize some of the more important issues, and raise general awareness of the need to consider the potential advantages and hazards of machine vision technology. However, in a short article like this, it is impossible to cover the subject comprehensively. This paper should therefore be seen as a discussion document, which it is hoped will provoke more detailed consideration of these very important issues. It follows from an article presented at last year's workshop. Five major topics are discussed: (1) The impact of machine vision systems on the environment; (2) The implications of machine vision for product and factory safety, the health and well-being of employees; (3) The importance of intellectual integrity in a field requiring a careful balance of advanced ideas and technologies; (4) Commercial and managerial integrity; and (5) The impact of machine visions technology on employment prospects, particularly for people with low skill levels.

  8. Robot Guidance Using Machine Vision Techniques in Industrial Environments: A Comparative Review

    Directory of Open Access Journals (Sweden)

    Luis Pérez

    2016-03-01

    Full Text Available In the factory of the future, most of the operations will be done by autonomous robots that need visual feedback to move around the working space avoiding obstacles, to work collaboratively with humans, to identify and locate the working parts, to complete the information provided by other sensors to improve their positioning accuracy, etc. Different vision techniques, such as photogrammetry, stereo vision, structured light, time of flight and laser triangulation, among others, are widely used for inspection and quality control processes in the industry and now for robot guidance. Choosing which type of vision system to use is highly dependent on the parts that need to be located or measured. Thus, in this paper a comparative review of different machine vision techniques for robot guidance is presented. This work analyzes accuracy, range and weight of the sensors, safety, processing time and environmental influences. Researchers and developers can take it as a background information for their future works.

  9. Robot Guidance Using Machine Vision Techniques in Industrial Environments: A Comparative Review

    Science.gov (United States)

    Pérez, Luis; Rodríguez, Íñigo; Rodríguez, Nuria; Usamentiaga, Rubén; García, Daniel F.

    2016-01-01

    In the factory of the future, most of the operations will be done by autonomous robots that need visual feedback to move around the working space avoiding obstacles, to work collaboratively with humans, to identify and locate the working parts, to complete the information provided by other sensors to improve their positioning accuracy, etc. Different vision techniques, such as photogrammetry, stereo vision, structured light, time of flight and laser triangulation, among others, are widely used for inspection and quality control processes in the industry and now for robot guidance. Choosing which type of vision system to use is highly dependent on the parts that need to be located or measured. Thus, in this paper a comparative review of different machine vision techniques for robot guidance is presented. This work analyzes accuracy, range and weight of the sensors, safety, processing time and environmental influences. Researchers and developers can take it as a background information for their future works. PMID:26959030

  10. Beef identification in industrial slaughterhouses using machine vision techniques

    Directory of Open Access Journals (Sweden)

    J. F. Velez

    2013-10-01

    Full Text Available Accurate individual animal identification provides the producers with useful information to take management decisions about an individual animal or about the complete herd. This identification task is also important to ensure the integrity of the food chain. Consequently, many consumers are turning their attention to issues of quality in animal food production methods. This work describes an implemented solution for individual beef identification, taking in the time from cattle shipment arrival at the slaughterhouse until the animals are slaughtered and cut up. Our beef identification approach is image-based and the pursued goals are the correct automatic extraction and matching between some numeric information extracted from the beef ear-tag and the corresponding one from the Bovine Identification Document (BID. The achieved correct identification results by our method are near 90%, by considering the practical working conditions of slaughterhouses (i.e. problems with dirt and bad illumination conditions. Moreover, the presence of multiple machinery in industrial slaughterhouses make it difficult the use of Radio Frequency Identification (RFID beef tags due to the high risks of interferences between RFID and the other technologies in the workplace. The solution presented is hardware/software since it includes a specialized hardware system that was also developed. Our approach considers the current EU legislation for beef traceability and it reduces the economic cost of individual beef identification with respect to RFID transponders. The system implemented has been in use satisfactorily for more than three years in one of the largest industrial slaughterhouses in Spain.

  11. Understanding and applying machine vision

    CERN Document Server

    Zeuch, Nello

    2000-01-01

    A discussion of applications of machine vision technology in the semiconductor, electronic, automotive, wood, food, pharmaceutical, printing, and container industries. It describes systems that enable projects to move forward swiftly and efficiently, and focuses on the nuances of the engineering and system integration of machine vision technology.

  12. A Machine Vision System for Automatically Grading Hardwood Lumber - (Industrial Metrology)

    Science.gov (United States)

    Richard W. Conners; Tai-Hoon Cho; Chong T. Ng; Thomas T. Drayer; Philip A. Araman; Robert L. Brisbon

    1992-01-01

    Any automatic system for grading hardwood lumber can conceptually be divided into two components. One of these is a machine vision system for locating and identifying grading defects. The other is an automatic grading program that accepts as input the output of the machine vision system and, based on these data, determines the grade of a board. The progress that has...

  13. Using an FPGA-Based Processing Platform in an Industrial Machine Vision System

    OpenAIRE

    King, William E

    1998-01-01

    This thesis describes the development of a commercial machine vision system as a case study for utilizing the Modular Reprogrammable Real-time Processing Hardware (MORRPH) board. The commercial system described in this thesis is based on a prototype system that was developed as a test-bed for developing the necessary concepts and algorithms. The prototype system utilized color linescan cameras, custom framegrabbers, and standard PCs to color-sort red oak parts (staves). When a furniture ma...

  14. Industrial vision

    DEFF Research Database (Denmark)

    Knudsen, Ole

    1998-01-01

    of an implementation in real production environments. The theory for projection of world points into images is concentrated upon the direct linear transformation (DLT), also called the Extended Pinhole model, and the stability of this method. A complete list of formulas for calculating all parameters in the model...... is present ed, and the variability of the parameters is examined and described. The concept of using CAD together with vision information is based on the fact that all items processed at OSS have an associated complete 3D CAD model that is accessible at all production states. This concept gives numerous...... possibilities for using vision in applications which otherwise would be very difficult to automate. The requirement for low tolerances in production is, despite the huge dimensions of the items involved, extreme. This fact makes great demands on the ability to do robust sub pixel estimation. A new method based...

  15. Chemicals Industry Vision

    Energy Technology Data Exchange (ETDEWEB)

    none,

    1996-12-01

    Chemical industry leaders articulated a long-term vision for the industry, its markets, and its technology in the groundbreaking 1996 document Technology Vision 2020 - The U.S. Chemical Industry. (PDF 310 KB).

  16. Machine vision theory, algorithms, practicalities

    CERN Document Server

    Davies, E R

    2005-01-01

    In the last 40 years, machine vision has evolved into a mature field embracing a wide range of applications including surveillance, automated inspection, robot assembly, vehicle guidance, traffic monitoring and control, signature verification, biometric measurement, and analysis of remotely sensed images. While researchers and industry specialists continue to document their work in this area, it has become increasingly difficult for professionals and graduate students to understand the essential theory and practicalities well enough to design their own algorithms and systems. This book directl

  17. Machine Learning for Computer Vision

    CERN Document Server

    Battiato, Sebastiano; Farinella, Giovanni

    2013-01-01

    Computer vision is the science and technology of making machines that see. It is concerned with the theory, design and implementation of algorithms that can automatically process visual data to recognize objects, track and recover their shape and spatial layout. The International Computer Vision Summer School - ICVSS was established in 2007 to provide both an objective and clear overview and an in-depth analysis of the state-of-the-art research in Computer Vision. The courses are delivered by world renowned experts in the field, from both academia and industry, and cover both theoretical and practical aspects of real Computer Vision problems. The school is organized every year by University of Cambridge (Computer Vision and Robotics Group) and University of Catania (Image Processing Lab). Different topics are covered each year. A summary of the past Computer Vision Summer Schools can be found at: http://www.dmi.unict.it/icvss This edited volume contains a selection of articles covering some of the talks and t...

  18. Industrial robot's vision systems

    Science.gov (United States)

    Iureva, Radda A.; Raskin, Evgeni O.; Komarov, Igor I.; Maltseva, Nadezhda K.; Fedosovsky, Michael E.

    2016-03-01

    Due to the improved economic situation in the high technology sectors, work on the creation of industrial robots and special mobile robotic systems are resumed. Despite this, the robotic control systems mostly remained unchanged. Hence one can see all advantages and disadvantages of these systems. This is due to lack of funds, which could greatly facilitate the work of the operator, and in some cases, completely replace it. The paper is concerned with the complex machine vision of robotic system for monitoring of underground pipelines, which collects and analyzes up to 90% of the necessary information. Vision Systems are used to identify obstacles to the process of movement on a trajectory to determine their origin, dimensions and character. The object is illuminated in a structured light, TV camera records projected structure. Distortions of the structure uniquely determine the shape of the object in view of the camera. The reference illumination is synchronized with the camera. The main parameters of the system are the basic distance between the generator and the lights and the camera parallax angle (the angle between the optical axes of the projection unit and camera).

  19. Machine vision is not computer vision

    Science.gov (United States)

    Batchelor, Bruce G.; Charlier, Jean-Ray

    1998-10-01

    The identity of Machine Vision as an academic and practical subject of study is asserted. In particular, the distinction between Machine Vision on the one hand and Computer Vision, Digital Image Processing, Pattern Recognition and Artificial Intelligence on the other is emphasized. The article demonstrates through four cases studies that the active involvement of a person who is sensitive to the broad aspects of vision system design can avoid disaster and can often achieve a successful machine that would not otherwise have been possible. This article is a transcript of the key- note address presented at the conference. Since the proceedings are prepared and printed before the conference, it is not possible to include a record of the response to this paper made by the delegates during the round-table discussion. It is hoped to collate and disseminate these via the World Wide Web after the event. (A link will be provided at http://bruce.cs.cf.ac.uk/bruce/index.html.).

  20. Design Considerations for Scalable High-Performance Vision Systems Embedded in Industrial Print Inspection Machines

    Directory of Open Access Journals (Sweden)

    Rössler Peter

    2007-01-01

    Full Text Available This paper describes the design of a scalable high-performance vision system which is used in the application area of optical print inspection. The system is able to process hundreds of megabytes of image data per second coming from several high-speed/high-resolution cameras. Due to performance requirements, some functionality has been implemented on dedicated hardware based on a field programmable gate array (FPGA, which is coupled to a high-end digital signal processor (DSP. The paper discusses design considerations like partitioning of image processing algorithms between hardware and software. The main chapters focus on functionality implemented on the FPGA, including low-level image processing algorithms (flat-field correction, image pyramid generation, neighborhood operations and advanced processing units (programmable arithmetic unit, geometry unit. Verification issues for the complex system are also addressed. The paper concludes with a summary of the FPGA resource usage and some performance results.

  1. Computer and machine vision theory, algorithms, practicalities

    CERN Document Server

    Davies, E R

    2012-01-01

    Computer and Machine Vision: Theory, Algorithms, Practicalities (previously entitled Machine Vision) clearly and systematically presents the basic methodology of computer and machine vision, covering the essential elements of the theory while emphasizing algorithmic and practical design constraints. This fully revised fourth edition has brought in more of the concepts and applications of computer vision, making it a very comprehensive and up-to-date tutorial text suitable for graduate students, researchers and R&D engineers working in this vibrant subject. Key features include: Practical examples and case studies give the 'ins and outs' of developing real-world vision systems, giving engineers the realities of implementing the principles in practice New chapters containing case studies on surveillance and driver assistance systems give practical methods on these cutting-edge applications in computer vision Necessary mathematics and essential theory are made approachable by careful explanations and well-il...

  2. Machine Vision Implementation in Rapid PCB Prototyping

    Directory of Open Access Journals (Sweden)

    Yosafat Surya Murijanto

    2012-03-01

    Full Text Available Image processing, the heart of machine vision, has proven itself to be an essential part of the industries today. Its application has opened new doorways, making more concepts in manufacturing processes viable. This paper presents an application of machine vision in designing a module with the ability to extract drills and route coordinates from an un-mounted or mounted printed circuit board (PCB. The algorithm comprises pre-capturing processes, image segmentation and filtering, edge and contour detection, coordinate extraction, and G-code creation. OpenCV libraries and Qt IDE are the main tools used. Throughout some testing and experiments, it is concluded that the algorithm is able to deliver acceptable results. The drilling and routing coordinate extraction algorithm can extract in average 90% and 82% of the whole drills and routes available on the scanned PCB in a total processing time of less than 3 seconds. This is achievable through proper lighting condition, good PCB surface condition and good webcam quality. 

  3. Machine vision and the OMV

    Science.gov (United States)

    Mcanulty, M. A.

    1986-01-01

    The orbital Maneuvering Vehicle (OMV) is intended to close with orbiting targets for relocation or servicing. It will be controlled via video signals and thruster activation based upon Earth or space station directives. A human operator is squarely in the middle of the control loop for close work. Without directly addressing future, more autonomous versions of a remote servicer, several techniques that will doubtless be important in a future increase of autonomy also have some direct application to the current situation, particularly in the area of image enhancement and predictive analysis. Several techniques are presentet, and some few have been implemented, which support a machine vision capability proposed to be adequate for detection, recognition, and tracking. Once feasibly implemented, they must then be further modified to operate together in real time. This may be achieved by two courses, the use of an array processor and some initial steps toward data reduction. The methodology or adapting to a vector architecture is discussed in preliminary form, and a highly tentative rationale for data reduction at the front end is also discussed. As a by-product, a working implementation of the most advanced graphic display technique, ray-casting, is described.

  4. 3D vision assisted flexible robotic assembly of machine components

    Science.gov (United States)

    Ogun, Philips S.; Usman, Zahid; Dharmaraj, Karthick; Jackson, Michael R.

    2015-12-01

    Robotic assembly systems either make use of expensive fixtures to hold components in predefined locations, or the poses of the components are determined using various machine vision techniques. Vision-guided assembly robots can handle subtle variations in geometries and poses of parts. Therefore, they provide greater flexibility than the use of fixtures. However, the currently established vision-guided assembly systems use 2D vision, which is limited to three degrees of freedom. The work reported in this paper is focused on flexible automated assembly of clearance fit machine components using 3D vision. The recognition and the estimation of the poses of the components are achieved by matching their CAD models with the acquired point cloud data of the scene. Experimental results obtained from a robot demonstrating the assembly of a set of rings on a shaft show that the developed system is not only reliable and accurate, but also fast enough for industrial deployment.

  5. Insect vision as model for machine vision

    Science.gov (United States)

    Osorio, D.; Sobey, Peter J.

    1992-11-01

    The neural architecture, neurophysiology and behavioral abilities of insect vision are described, and compared with that of mammals. Insects have a hardwired neural architecture of highly differentiated neurons, quite different from the cerebral cortex, yet their behavioral abilities are in important respects similar to those of mammals. These observations challenge the view that the key to the power of biological neural computation is distributed processing by a plastic, highly interconnected, network of individually undifferentiated and unreliable neurons that has been a dominant picture of biological computation since Pitts and McCulloch's seminal work in the 1940's.

  6. Color in machine vision and its application

    Institute of Scientific and Technical Information of China (English)

    2001-01-01

    Color is the phenomenon of human visual perception and the module of machine vision. Color information is widely used in the areas of virtual reality and humancomputer interaction. Color is the product of a visual environment, illumination and the human brain. Research on color information representation and its processing is typically interdisciplinary. Based on our research work on human color perception and machine color vision and its application, we summarized the hotspots of color studies in recent developments and new approaches to color vision,including basic theories and the application of color information in virtual reality, content-based image retrieval, and face recognition.

  7. The Employment Effects of High-Technology: A Case Study of Machine Vision. Research Report No. 86-19.

    Science.gov (United States)

    Chen, Kan; Stafford, Frank P.

    A case study of machine vision was conducted to identify and analyze the employment effects of high technology in general. (Machine vision is the automatic acquisition and analysis of an image to obtain desired information for use in controlling an industrial activity, such as the visual sensor system that gives eyes to a robot.) Machine vision as…

  8. A Design Methodology For Industrial Vision Systems

    Science.gov (United States)

    Batchelor, B. G.; Waltz, F. M.; Snyder, M. A.

    1988-11-01

    The cost of design, rather than that of target system hardware, represents the principal factor inhibiting the adoption of machine vision systems by manufacturing industry. To reduce design costs to a minimum, a number of software and hardware aids have been developed or are currently being built by the authors. These design aids are as follows: a. An expert system for giving advice about which image acquisition techniques (i.e. lighting/viewing techniques) might be appropriate in a given situation. b. A program to assist in the selection and setup of camera lenses. c. A rich repertoire of image processing procedures, integrated with the Al language Prolog. This combination (called ProVision) provides a facility for experimenting with intelligent image processing techniques and is intended to allow rapid prototyping of algorithms and/or heuristics. d. Fast image processing hardware, capable of implementing commands in the ProVision language. The speed of operation of this equipment is sufficiently high for it to be used, without modification, in many industrial applications. Where this is not possible, even higher execution speed may be achieved by adding extra modules to the processing hardware. In this way, it is possible to trade speed against the cost of the target system hardware. New and faster implementations of a given algorithm/heuristic can usually be achieved with the expenditure of only a small effort. Throughout this article, the emphasis is on designing an industrial vision system in a smooth and effortless manner. In order to illustrate our main thesis that the design of industrial vision systems can be made very much easier through the use of suitable utilities, the article concludes with a discussion of a case study: the dissection of tiny plants using a visually controlled robot.

  9. Machine Vision Giving Eyes to Robots. Resources in Technology.

    Science.gov (United States)

    Technology Teacher, 1990

    1990-01-01

    This module introduces machine vision, which can be used for inspection, robot guidance and part sorting. The future for machine vision will include new technology and will bring vision systems closer to the ultimate vision processor, the human eye. Includes a student quiz, outcomes, and activities. (JOW)

  10. Machine Learning Techniques in Clinical Vision Sciences.

    Science.gov (United States)

    Caixinha, Miguel; Nunes, Sandrina

    2017-01-01

    This review presents and discusses the contribution of machine learning techniques for diagnosis and disease monitoring in the context of clinical vision science. Many ocular diseases leading to blindness can be halted or delayed when detected and treated at its earliest stages. With the recent developments in diagnostic devices, imaging and genomics, new sources of data for early disease detection and patients' management are now available. Machine learning techniques emerged in the biomedical sciences as clinical decision-support techniques to improve sensitivity and specificity of disease detection and monitoring, increasing objectively the clinical decision-making process. This manuscript presents a review in multimodal ocular disease diagnosis and monitoring based on machine learning approaches. In the first section, the technical issues related to the different machine learning approaches will be present. Machine learning techniques are used to automatically recognize complex patterns in a given dataset. These techniques allows creating homogeneous groups (unsupervised learning), or creating a classifier predicting group membership of new cases (supervised learning), when a group label is available for each case. To ensure a good performance of the machine learning techniques in a given dataset, all possible sources of bias should be removed or minimized. For that, the representativeness of the input dataset for the true population should be confirmed, the noise should be removed, the missing data should be treated and the data dimensionally (i.e., the number of parameters/features and the number of cases in the dataset) should be adjusted. The application of machine learning techniques in ocular disease diagnosis and monitoring will be presented and discussed in the second section of this manuscript. To show the clinical benefits of machine learning in clinical vision sciences, several examples will be presented in glaucoma, age-related macular degeneration

  11. Machine vision and mechatronics in practice

    CERN Document Server

    Brett, Peter

    2015-01-01

    The contributions for this book have been gathered over several years from conferences held in the series of Mechatronics and Machine Vision in Practice, the latest of which was held in Ankara, Turkey. The essential aspect is that they concern practical applications rather than the derivation of mere theory, though simulations and visualization are important components. The topics range from mining, with its heavy engineering, to the delicate machining of holes in the human skull or robots for surgery on human flesh. Mobile robots continue to be a hot topic, both from the need for navigation and for the task of stabilization of unmanned aerial vehicles. The swinging of a spray rig is damped, while machine vision is used for the control of heating in an asphalt-laying machine.  Manipulators are featured, both for general tasks and in the form of grasping fingers. A robot arm is proposed for adding to the mobility scooter of the elderly. Can EEG signals be a means to control a robot? Can face recognition be ac...

  12. Research on workpiece Sorting Technology of Industrial Robot Based on Machine Vision%基于机器视觉的工业机器人工件分拣技术研究

    Institute of Scientific and Technical Information of China (English)

    甘伟

    2014-01-01

    工业机器人广泛应用于自动化生产线上完成工件搬运、上下料等操作,机器视觉的引入增加机器人了的灵活性和智能化。本文对基于视觉的工业机器人工件分拣的技术进行研究,机器视觉系统对传送带上进入工作区的工件进行图像采集,根据图像信息提取工件特征参数,识别出工件类型,并判断出工件所处的位置姿态,最后控制机器人执行抓取。经过实验表明本系统工作可靠,提高了自动化生产线效率和柔性。%Industrial robots have been widely used on industrial production line to complete a variety of operations such as workpiece handling,loading and unloading,etc.The machine vision can improve robotic lfexibilities and Intel igence.This paper introduces researching machine vision for the workpiece Sorting technology of industrial robot. When workpiece enter the sorting operation area,machine vision system capture image information to extract the feature parameters of workpiece, recognize the workpiece types,colour,size,and to judge the position and posture of workpiece,and ifnal y control the robot to implement the sorting action.Experiments prove the system work reliability,improve the efifciency and lfexibility of the automatic production line.

  13. Bioinspired minimal machine multiaperture apposition vision system.

    Science.gov (United States)

    Davis, John D; Barrett, Steven F; Wright, Cameron H G; Wilcox, Michael

    2008-01-01

    Traditional machine vision systems have an inherent data bottleneck that arises because data collected in parallel must be serialized for transfer from the sensor to the processor. Furthermore, much of this data is not useful for information extraction. This project takes inspiration from the visual system of the house fly, Musca domestica, to reduce this bottleneck by employing early (up front) analog preprocessing to limit the data transfer. This is a first step toward an all analog, parallel vision system. While the current implementation has serial stages, nothing would prevent it from being fully parallel. A one-dimensional photo sensor array with analog pre-processing is used as the sole sensory input to a mobile robot. The robot's task is to chase a target car while avoiding obstacles in a constrained environment. Key advantages of this approach include passivity and the potential for very high effective "frame rates."

  14. Fresh market carrot inspection by machine vision

    Science.gov (United States)

    Howarth, M. Scott; Searcy, Stephen W.

    1991-02-01

    A machine vision system was developed to inspect fresh market carrots. It was designed to grade carrots with an axial and transverse resolution of 0. 5mmper pixel. Hardware consisted of camera digital signal processing (DSP) imaging board host computer and illumination components. Feature extraction methods detect the major defects. A Bayes classification technique was used to construct the decision function which classify carrots as acceptable or cull. The system was able to image and classify in approximately 2. 5carrots/second. 1.

  15. Multimedia extensions to prototyping software for machine vision

    Science.gov (United States)

    Batchelor, Bruce G.; Griffiths, Eric C.; Hack, Ralf; Jones, Andrew C.

    1996-10-01

    PIP (prolog image processing) is a prototyping tool, intended to assists designers of intelligent industrial machine vision systems. This article concentrates on the multi-media extensions to PIP, including: 1) on-line HELP, which allows the user to satisfy PIP goals from within the HELP facility, 2) lighting advisor, which gives advice to a vision engineer about which lighting/viewing arrangement is appropriate to use in a given situation, 3) device control, for operating a robot work cell, 4) speech input and (simple) natural language understanding, 5) speech synthesis, 6) remote operation of PIP via a local area network, and 7) remote operation of PIP via a local area network. At the time of writing, on-line access to PIP, via the Internet, is being developed.

  16. A Machine Vision System for Ball Grid Array Package Inspection

    Institute of Scientific and Technical Information of China (English)

    XIA Nian-jiong; CAO Qi-xin; LEE Jey

    2005-01-01

    An optical inspection method of the Ball Grid Array package (BGA) was proposed by using a machine vision system. The developed machine vision system could get main critical factors for BGA quality evaluation, such as the height of solder ball, diameter, pitch and coplanarity. The experiment has proved that this system is available for BGA failure detection.

  17. A Machine Vision System for Automatically Grading Hardwood Lumber - (Proceedings)

    Science.gov (United States)

    Richard W. Conners; Tai-Hoon Cho; Chong T. Ng; Thomas H. Drayer; Joe G. Tront; Philip A. Araman; Robert L. Brisbon

    1990-01-01

    Any automatic system for grading hardwood lumber can conceptually be divided into two components. One of these is a machine vision system for locating and identifying grading defects. The other is an automatic grading program that accepts as input the output of the machine vision system and, based on these data, determines the grade of a board. The progress that has...

  18. Machine-vision based optofluidic cell sorting

    DEFF Research Database (Denmark)

    Glückstad, Jesper; Bañas, Andrew

    In contemporary life science there is an increasing emphasis on sorting rare disease-indicating cells within small dilute quantities such as in the confines of optofluidic lab-on-chip devices. Our approach to this is based on the use of optical forces to isolate red blood cells detected by advanc...... the available light and creating 2D or 3D beam distributions aimed at the positions of the detected cells. Furthermore, the beam shaping freedom provided by GPC can allow optimizations in the beam’s propagation and its interaction with the laser catapulted and sorted cells....... machine vision1. This approach is gentler, less invasive and more economical compared to conventional FACS-systems. As cells are less responsive to plastic or glass objects commonly used in the optical manipulation literature2, and since laser safety would be an issue in clinical use, we develop efficient...

  19. Computer vision in the poultry industry

    Science.gov (United States)

    Computer vision is becoming increasingly important in the poultry industry due to increasing use and speed of automation in processing operations. Growing awareness of food safety concerns has helped add food safety inspection to the list of tasks that automated computer vision can assist. Researc...

  20. Machine vision for airport runway identification

    Science.gov (United States)

    Schubert, Matthew; Moore, Andrew J.; Dolph, Chester; Woodell, Glenn

    2015-03-01

    For rigid objects and fixed scenes, current machine vision technology is capable of identifying imagery rapidly and with specificity over a modest range of camera viewpoints and scene illumination. We applied that capability to the problem of runway identification using video of sixteen runway approaches at nine locations, subject to two simplifying assumptions. First, by using approach video from just one of the several possible seasonal variations (no snow cover and full foliage), we artificially removed one source of scene variation in this study. Secondly, by not using approach video at dawn and dusk, we limited the study to two illumination variants (day and night). We did allow scene variation due to atmospheric turbidity by using approach video from rainy and foggy days in some daytime approaches. With suitable ensemble statistics to account for temporal continuity in video, we observed high location specificity (<90% Bayesian posterior probability). We also tested repeatability, i.e., identification of a given runway across multiple videos, and observed robust repeatability only if illumination (day vs. night) was the same and approach visibility was good. Both specificity and repeatability degraded in poor weather conditions. The results of this simplified study show that geolocation via real-time comparison of cockpit image sensor video to a database of runway approach imagery is feasible, as long as the database contains imagery from about the same time of day (complete daylight and nighttime, excluding dawn and dusk) and the weather is clear at the time of the flight.

  1. Turning industry visions into reality

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1997-01-01

    This brochure outlines the activities of the Office of Industrial Technologies (OIT) in the Department of Energy. OIT activities are aimed at industry adoption of energy-efficient, pollution-reducing technologies and include research and development on advanced technologies, financing, technical assistance, information dissemination, education, and bringing together industry groups, universities, National Laboratories, states, and environmentalists. OIT`s core initiative is to facilitate partnerships within seven materials and process industries: aluminum, chemicals, forest products, glass, metalcasting, petroleum refining, and steel industries.

  2. Application of Machine Vision Technique in Weed Identification

    Institute of Scientific and Technical Information of China (English)

    LIU Zhen-heng; ZHANG Chang-li; FANG Jun-long

    2004-01-01

    This paper mainly introduces some foreign research methods and fruits about weed identification by applying machine vision. This facet researches is lack in our country, this paper could be reference for domestic studies about weed identification.

  3. Machine Vision Systems for Processing Hardwood Lumber and Logs

    Science.gov (United States)

    Philip A. Araman; Daniel L. Schmoldt; Tai-Hoon Cho; Dongping Zhu; Richard W. Conners; D. Earl Kline

    1992-01-01

    Machine vision and automated processing systems are under development at Virginia Tech University with support and cooperation from the USDA Forest Service. Our goals are to help U.S. hardwood producers automate, reduce costs, increase product volume and value recovery, and market higher value, more accurately graded and described products. Any vision system is...

  4. Learning surface molecular structures via machine vision

    Science.gov (United States)

    Ziatdinov, Maxim; Maksov, Artem; Kalinin, Sergei V.

    2017-08-01

    Recent advances in high resolution scanning transmission electron and scanning probe microscopies have allowed researchers to perform measurements of materials structural parameters and functional properties in real space with a picometre precision. In many technologically relevant atomic and/or molecular systems, however, the information of interest is distributed spatially in a non-uniform manner and may have a complex multi-dimensional nature. One of the critical issues, therefore, lies in being able to accurately identify (`read out') all the individual building blocks in different atomic/molecular architectures, as well as more complex patterns that these blocks may form, on a scale of hundreds and thousands of individual atomic/molecular units. Here we employ machine vision to read and recognize complex molecular assemblies on surfaces. Specifically, we combine Markov random field model and convolutional neural networks to classify structural and rotational states of all individual building blocks in molecular assembly on the metallic surface visualized in high-resolution scanning tunneling microscopy measurements. We show how the obtained full decoding of the system allows us to directly construct a pair density function—a centerpiece in analysis of disorder-property relationship paradigm—as well as to analyze spatial correlations between multiple order parameters at the nanoscale, and elucidate reaction pathway involving molecular conformation changes. The method represents a significant shift in our way of analyzing atomic and/or molecular resolved microscopic images and can be applied to variety of other microscopic measurements of structural, electronic, and magnetic orders in different condensed matter systems.

  5. Brake Pedal Displacement Measuring System based on Machine Vision

    Directory of Open Access Journals (Sweden)

    Chang Wang

    2013-10-01

    Full Text Available Displacement of brake pedal was an important characteristic of driving behavior. This paper proposed a displacement measure algorithm based on machine vision. Image of brake pedal was captured by camera from left side, and images were processed in industry computer. Firstly, average smooth algorithm and wavelet transform algorithm were used to smooth the original image consecutively. Then, edge extracting method which combined Roberts’s operator with wavelet analysis was used to identify the edge of brake pedal. At last, least square method was adopted to recognize the characteristic line of brake pedal’s displacement. The experimental results demonstrated that the proposed method takes the advantages of Roberts’s operator and wavelet transform, it can obtain better measurement result as well as linear displacement sensors

  6. Applications of AI, machine vision and robotics

    CERN Document Server

    Boyer, Kim; Bunke, H

    1995-01-01

    This text features a broad array of research efforts in computer vision including low level processing, perceptual organization, object recognition and active vision. The volume's nine papers specifically report on topics such as sensor confidence, low level feature extraction schemes, non-parametric multi-scale curve smoothing, integration of geometric and non-geometric attributes for object recognition, design criteria for a four degree-of-freedom robot head, a real-time vision system based on control of visual attention and a behavior-based active eye vision system. The scope of the book pr

  7. A Multiple Sensor Machine Vision System for Automatic Hardwood Feature Detection

    Science.gov (United States)

    D. Earl Kline; Richard W. Conners; Daniel L. Schmoldt; Philip A. Araman; Robert L. Brisbin

    1993-01-01

    A multiple sensor machine vision prototype is being developed to scan full size hardwood lumber at industrial speeds for automatically detecting features such as knots holes, wane, stain, splits, checks, and color. The prototype integrates a multiple sensor imaging system, a materials handling system, a computer system, and application software. The prototype provides...

  8. Vision Systems Illuminate Industrial Processes

    Science.gov (United States)

    2013-01-01

    When NASA designs a spacecraft to undertake a new mission, innovation does not stop after the design phase. In many cases, these spacecraft are firsts of their kind, requiring not only remarkable imagination and expertise in their conception but new technologies and methods for their manufacture. In the realm of manufacturing, NASA has from necessity worked on the cutting-edge, seeking new techniques and materials for creating unprecedented structures, as well as capabilities for reducing the cost and increasing the efficiency of existing manufacturing technologies. From friction stir welding enhancements (Spinoff 2009) to thermoset composites (Spinoff 2011), NASA s innovations in manufacturing have often transferred to the public in ways that enable the expansion of the Nation s industrial productivity. NASA has long pursued ways of improving upon and ensuring quality results from manufacturing processes ranging from arc welding to thermal coating applications. But many of these processes generate blinding light (hence the need for special eyewear during welding) that obscures the process while it is happening, making it difficult to monitor and evaluate. In the 1980s, NASA partnered with a company to develop technology to address this issue. Today, that collaboration has spawned multiple commercial products that not only support effective manufacturing for private industry but also may support NASA in the use of an exciting, rapidly growing field of manufacturing ideal for long-duration space missions.

  9. Direction Identification System of Garlic Clove Based on Machine Vision

    Directory of Open Access Journals (Sweden)

    Gao Chi

    2013-05-01

    Full Text Available In order to fulfill the requirements of seeding direction of garlic cloves, the paper proposed a research method of garlic clove direction identification based on machine vision, it expounded the theory of garlic clove direction identification, stated the arithmetic of it, designed the direction identification device of it, then developed the control system of garlic clove direction identification based on machine vision, at last tested the garlic clove direction identification, and the result of the experiment certificated that the rate of garlic clove direction identification could reach to more than 97%, and it demonstrated that the research is of high feasibility and technological values.

  10. Building Artificial Vision Systems with Machine Learning

    Energy Technology Data Exchange (ETDEWEB)

    LeCun, Yann [New York University

    2011-02-23

    Three questions pose the next challenge for Artificial Intelligence (AI), robotics, and neuroscience. How do we learn perception (e.g. vision)? How do we learn representations of the perceptual world? How do we learn visual categories from just a few examples?

  11. Handbook of 3D machine vision optical metrology and imaging

    CERN Document Server

    Zhang, Song

    2013-01-01

    With the ongoing release of 3D movies and the emergence of 3D TVs, 3D imaging technologies have penetrated our daily lives. Yet choosing from the numerous 3D vision methods available can be frustrating for scientists and engineers, especially without a comprehensive resource to consult. Filling this gap, Handbook of 3D Machine Vision: Optical Metrology and Imaging gives an extensive, in-depth look at the most popular 3D imaging techniques. It focuses on noninvasive, noncontact optical methods (optical metrology and imaging). The handbook begins with the well-studied method of stereo vision and

  12. Industry 4.0 : a vision for personalized medicine supply chains?

    OpenAIRE

    Branke, Jürgen; Farid, Suzanne S.; Shah, Nilay

    2016-01-01

    Industry 4.0 foresees a digital transformation of manufacturing resulting in smart factories and supply chains. At the heart of the concept lies the vision of interconnected materials, goods and machines, where goods find their way through the factory and the supply chain to the customer in a self-organized manner. Industry 4.0 is gaining traction in high value manufacturing sectors. This expert insight article explores what this technology-driven vision has to offer the biopharmaceutical ind...

  13. Vision 2030. A Vision for the U.S. Concrete Industry

    Energy Technology Data Exchange (ETDEWEB)

    none,

    2001-01-01

    On September 27, 2000, the concrete industry's Strategic Development Council hosted a Concrete Vision Workshop in Chicago, Illinois. Meeting participants included over 50 concrete, cement, and other allied industry chief executive officers, presidents, vice-presidents, laboratory and industry research managers, and government representatives. Participants discussed the state of the concrete industry 30 years ago, the state of the current industry, and their vision for the United States concrete industry in 2030. Moreover, they identified specific goals to achieve the industry's Vision 2030. This document, Vision 2030, is the product of that workshop and the comments received after a broad industry review.

  14. Machine vision for a selective broccoli harvesting robot

    NARCIS (Netherlands)

    Blok, Pieter M.; Barth, Ruud; Berg, Van Den Wim

    2016-01-01

    The selective hand-harvest of fresh market broccoli is labor-intensive and comprises about 35% of the total production costs. This research was conducted to determine whether machine vision can be used to detect broccoli heads, as a first step in the development of a fully autonomous selective harve

  15. Design and construction of automatic sorting station with machine vision

    Directory of Open Access Journals (Sweden)

    Oscar D. Velasco-Delgado

    2014-01-01

    Full Text Available This article presents the design, construction and testing of an automatic product sorting system in belt conveyor with machine vision that integrates Free and Open Source Software technology and Allen Bradley commercial equipment. Requirements are defined to determine features such as: mechanics of manufacturing station, an app of product sorting with machine vision and for automation system. For the app of machine vision a library is used for optical digital image processing Open CV, for the mechanical design of the manufacturing station is used the CAD tool Solid Edge and for the design and implementation of automation ISA standards are used along with an automation engineering project methodology integrating a PLC, an inverter, a Panel View and a DeviceNet Network. Performance tests are shown by classifying bottles and PVC pieces in four established types, the behavior of the integrated system is checked so as the efficiency of the same. The processing time on machine vision is 0.290 s on average for a piece of PVC, a capacity of 206 accessories per minute, for bottles was obtained a processing time of 0.267 s, a capacity of 224 bottles per minute. A maximum mechanical performance is obtained with 32 products per minute (1920 products/hour with the conveyor to 22 cm/s and 40 cm of distance between products obtaining an average error of 0.8%.

  16. Machine-Vision Systems Selection for Agricultural Vehicles: A Guide

    Directory of Open Access Journals (Sweden)

    Gonzalo Pajares

    2016-11-01

    Full Text Available Machine vision systems are becoming increasingly common onboard agricultural vehicles (autonomous and non-autonomous for different tasks. This paper provides guidelines for selecting machine-vision systems for optimum performance, considering the adverse conditions on these outdoor environments with high variability on the illumination, irregular terrain conditions or different plant growth states, among others. In this regard, three main topics have been conveniently addressed for the best selection: (a spectral bands (visible and infrared; (b imaging sensors and optical systems (including intrinsic parameters and (c geometric visual system arrangement (considering extrinsic parameters and stereovision systems. A general overview, with detailed description and technical support, is provided for each topic with illustrative examples focused on specific applications in agriculture, although they could be applied in different contexts other than agricultural. A case study is provided as a result of research in the RHEA (Robot Fleets for Highly Effective Agriculture and Forestry Management project for effective weed control in maize fields (wide-rows crops, funded by the European Union, where the machine vision system onboard the autonomous vehicles was the most important part of the full perception system, where machine vision was the most relevant. Details and results about crop row detection, weed patches identification, autonomous vehicle guidance and obstacle detection are provided together with a review of methods and approaches on these topics.

  17. Measurement of seedling growth rate by machine vision

    Science.gov (United States)

    Howarth, M. Scott; Stanwood, Phillip C.

    1993-05-01

    Seed vigor and germination tests have traditionally been used to determine deterioration of seed samples. Vigor tests describe the seed potential to emerge and produce a mature crop under certain field conditions and one measure is seedling growth rate. A machine vision system was developed to measure root growth rate over the entire germination period. The machine vision measurement technique was compared to the manual growth rate technique. The vision system provided similar growth rate measurements as compared to the manual growth rate technique. The average error between the system and a manual measurement was -0.13 for the lettuce test and -0.07 for the sorghum test. This technique also provided an accurate representation of the growth rate as well as percent germination.

  18. 3D Machine Vision and Additive Manufacturing: Concurrent Product and Process Development

    Science.gov (United States)

    Ilyas, Ismet P.

    2013-06-01

    The manufacturing environment rapidly changes in turbulence fashion. Digital manufacturing (DM) plays a significant role and one of the key strategies in setting up vision and strategic planning toward the knowledge based manufacturing. An approach of combining 3D machine vision (3D-MV) and an Additive Manufacturing (AM) may finally be finding its niche in manufacturing. This paper briefly overviews the integration of the 3D machine vision and AM in concurrent product and process development, the challenges and opportunities, the implementation of the 3D-MV and AM at POLMAN Bandung in accelerating product design and process development, and discusses a direct deployment of this approach on a real case from our industrial partners that have placed this as one of the very important and strategic approach in research as well as product/prototype development. The strategic aspects and needs of this combination approach in research, design and development are main concerns of the presentation.

  19. Prolog-based prototyping software for machine vision

    Science.gov (United States)

    Batchelor, Bruce G.; Hack, Ralf; Jones, Andrew C.

    1996-10-01

    Prolog image processing (PIP) is a multi-media prototyping tool, intended to assist designers of intelligent industrial machine vision systems. This is the latest in a series of prolog-based systems that have been implemented at Cardiff, specifically for this purpose. The software package provides fully integrated facilities for both interactive and programmed image processing, 'smart' documentation, guidance about which lighting/viewing set-up to use, speech/natural language input and speech output. It can also be used to control a range of electro-mechanical devices, such as lamps, cameras, lenses, pneumatic positioning mechanisms, robots, etc., via a low-cost hardware interfacing module. The software runs on a standard computer, with no predecessors in that the image processing is carried out entirely in software. This article concentrates on the design and implementation of the PIP system, and presents programs for two demonstration applications: (a) recognizing a non-picture playing card; (b) recognizing a well laid table place setting.

  20. Research on Manufacturing Technology Based on Machine Vision

    Institute of Scientific and Technical Information of China (English)

    HU Zhanqi; ZHENG Kuijing

    2006-01-01

    The concept of machine vision based manufacturing technology is proposed first, and the key algorithms used in two-dimensional and three-dimensional machining are discussed in detail. Machining information can be derived from the binary images and gray picture after processing and transforming the picture. Contour and the parallel cutting method about two-dimensional machining are proposed. Polygon approximating algorithm is used to cutting the profile of the workpiece. Fill Scanning algorithm used to machining inner part of a pocket. The improved Shape From Shading method with adaptive pre-processing is adopted to reconstruct the three-dimensional model. Layer cutting method is adopted for three-dimensional machining. The tool path is then gotten from the model, and NC code is formed subsequently. The model can be machined conveniently by the lathe, milling machine or engraver. Some examples are given to demonstrate the results of ImageCAM system, which is developed by the author to implement the algorithms previously mentioned.

  1. Machine Learning for Vision-Based Motion Analysis

    CERN Document Server

    Wang, Liang; Cheng, Li; Pietikainen, Matti

    2011-01-01

    Techniques of vision-based motion analysis aim to detect, track, identify, and generally understand the behavior of objects in image sequences. With the growth of video data in a wide range of applications from visual surveillance to human-machine interfaces, the ability to automatically analyze and understand object motions from video footage is of increasing importance. Among the latest developments in this field is the application of statistical machine learning algorithms for object tracking, activity modeling, and recognition. Developed from expert contributions to the first and second In

  2. Two dimensional convolute integers for machine vision and image recognition

    Science.gov (United States)

    Edwards, Thomas R.

    1988-01-01

    Machine vision and image recognition require sophisticated image processing prior to the application of Artificial Intelligence. Two Dimensional Convolute Integer Technology is an innovative mathematical approach for addressing machine vision and image recognition. This new technology generates a family of digital operators for addressing optical images and related two dimensional data sets. The operators are regression generated, integer valued, zero phase shifting, convoluting, frequency sensitive, two dimensional low pass, high pass and band pass filters that are mathematically equivalent to surface fitted partial derivatives. These operators are applied non-recursively either as classical convolutions (replacement point values), interstitial point generators (bandwidth broadening or resolution enhancement), or as missing value calculators (compensation for dead array element values). These operators show frequency sensitive feature selection scale invariant properties. Such tasks as boundary/edge enhancement and noise or small size pixel disturbance removal can readily be accomplished. For feature selection tight band pass operators are essential. Results from test cases are given.

  3. Collection of Group Characteristics of Pleurotus Eryngii Using Machine Vision

    Science.gov (United States)

    Wang, Yunsheng; Wan, Changzhao; Yang, Juan; Chen, Jianlin; Yuan, Tao; Zhao, Jingyin

    An information collection system which was used to group characteristics of pleurotus eryngii was introduced. The group characteristics of pleurotus eryngii were quantified using machine vision in order to inspect and control the pleurotus eryngii house environment by an automated system. Its main contents include the following: collection of pleurotus eryngii image; image processing and pattern recognition. Finally, by analysing pleurotus eryngii image, the systems for group characteristics of pleurotus eryngii are proved to be greatly effective.

  4. Machine vision automated visual inspection theory, practice and applications

    CERN Document Server

    Beyerer, Jürgen; Frese, Christian

    2016-01-01

    The book offers a thorough introduction to machine vision. It is organized in two parts. The first part covers the image acquisition, which is the crucial component of most automated visual inspection systems. All important methods are described in great detail and are presented with a reasoned structure. The second part deals with the modeling and processing of image signals and pays particular regard to methods, which are relevant for automated visual inspection.

  5. Software architecture for time-constrained machine vision applications

    Science.gov (United States)

    Usamentiaga, Rubén; Molleda, Julio; García, Daniel F.; Bulnes, Francisco G.

    2013-01-01

    Real-time image and video processing applications require skilled architects, and recent trends in the hardware platform make the design and implementation of these applications increasingly complex. Many frameworks and libraries have been proposed or commercialized to simplify the design and tuning of real-time image processing applications. However, they tend to lack flexibility, because they are normally oriented toward particular types of applications, or they impose specific data processing models such as the pipeline. Other issues include large memory footprints, difficulty for reuse, and inefficient execution on multicore processors. We present a novel software architecture for time-constrained machine vision applications that addresses these issues. The architecture is divided into three layers. The platform abstraction layer provides a high-level application programming interface for the rest of the architecture. The messaging layer provides a message-passing interface based on a dynamic publish/subscribe pattern. A topic-based filtering in which messages are published to topics is used to route the messages from the publishers to the subscribers interested in a particular type of message. The application layer provides a repository for reusable application modules designed for machine vision applications. These modules, which include acquisition, visualization, communication, user interface, and data processing, take advantage of the power of well-known libraries such as OpenCV, Intel IPP, or CUDA. Finally, the proposed architecture is applied to a real machine vision application: a jam detector for steel pickling lines.

  6. Development of a Computer Vision Technology for the Forest Products Manufacturing Industry

    Science.gov (United States)

    D. Earl Kline; Richard Conners; Philip A. Araman

    1992-01-01

    The goal of this research is to create an automated processing/grading system for hardwood lumber that will be of use to the forest products industry. The objective of creating a full scale machine vision prototype for inspecting hardwood lumber will become a reality in calendar year 1992. Space for the full scale prototype has been created at the Brooks Forest...

  7. An industrial sewing machine variable speed controller

    Science.gov (United States)

    Estes, Christa; Spiggle, Charles; Swift, Shannon; Vangeffen, Stephen; Youngner, Frank

    The apparel industry is attempting to move in a new direction in the coming decade. Since the invention of an electrically powered sewing machine, the operator has been seated. Today, companies are switching from a sit down operation to a stand up operation involving modular stations. The old treadle worked well with the sitting operator, but problems have been found when trying to use the same treadle with a standing operator. This report details a new design for a treadle to operate an industrial sewing machine that has a standing operator. Emphasis is placed on the ease of use by the operator, as well as the ergonomics involved. Procedures for testing the design are included along with possible uses for the treadle in other applications besides an industrial sewing machine.

  8. Practical guide to machine vision software an introduction with LabVIEW

    CERN Document Server

    Kwon, Kye-Si

    2014-01-01

    For both students and engineers in R&D, this book explains machine vision in a concise, hands-on way, using the Vision Development Module of the LabView software by National Instruments. Following a short introduction to the basics of machine vision and the technical procedures of image acquisition, the book goes on to guide readers in the use of the various software functions of LabView's machine vision module. It covers typical machine vision tasks, including particle analysis, edge detection, pattern and shape matching, dimension measurements as well as optical character recognition, enabli

  9. Machine Vision Applied to Navigation of Confined Spaces

    Science.gov (United States)

    Briscoe, Jeri M.; Broderick, David J.; Howard, Ricky; Corder, Eric L.

    2004-01-01

    The reliability of space related assets has been emphasized after the second loss of a Space Shuttle. The intricate nature of the hardware being inspected often requires a complete disassembly to perform a thorough inspection which can be difficult as well as costly. Furthermore, it is imperative that the hardware under inspection not be altered in any other manner than that which is intended. In these cases the use of machine vision can allow for inspection with greater frequency using less intrusive methods. Such systems can provide feedback to guide, not only manually controlled instrumentation, but autonomous robotic platforms as well. This paper serves to detail a method using machine vision to provide such sensing capabilities in a compact package. A single camera is used in conjunction with a projected reference grid to ascertain precise distance measurements. The design of the sensor focuses on the use of conventional components in an unconventional manner with the goal of providing a solution for systems that do not require or cannot accommodate more complex vision systems.

  10. Machine learning, computer vision, and probabilistic models in jet physics

    CERN Document Server

    CERN. Geneva; NACHMAN, Ben

    2015-01-01

    In this talk we present recent developments in the application of machine learning, computer vision, and probabilistic models to the analysis and interpretation of LHC events. First, we will introduce the concept of jet-images and computer vision techniques for jet tagging. Jet images enabled the connection between jet substructure and tagging with the fields of computer vision and image processing for the first time, improving the performance to identify highly boosted W bosons with respect to state-of-the-art methods, and providing a new way to visualize the discriminant features of different classes of jets, adding a new capability to understand the physics within jets and to design more powerful jet tagging methods. Second, we will present Fuzzy jets: a new paradigm for jet clustering using machine learning methods. Fuzzy jets view jet clustering as an unsupervised learning task and incorporate a probabilistic assignment of particles to jets to learn new features of the jet structure. In particular, we wi...

  11. Machine vision system for automated detection of stained pistachio nuts

    Science.gov (United States)

    Pearson, Tom C.

    1995-01-01

    A machine vision system was developed to separate stained pistachio nuts, which comprise of about 5% of the California crop, from unstained nuts. The system may be used to reduce labor involved with manual grading or to remove aflatoxin contaminated product from low grade process streams. The system was tested on two different pistachio process streams: the bi- chromatic color sorter reject stream and the small nut shelling stock stream. The system had a minimum overall error rate of 14% for the bi-chromatic sorter reject stream and 15% for the small shelling stock stream.

  12. Development of machine vision system for PHWR fuel pellet inspection

    Energy Technology Data Exchange (ETDEWEB)

    Kamalesh Kumar, B.; Reddy, K.S.; Lakshminarayana, A.; Sastry, V.S.; Ramana Rao, A.V. [Nuclear Fuel Complex, Hyderabad, Andhra Pradesh (India); Joshi, M.; Deshpande, P.; Navathe, C.P.; Jayaraj, R.N. [Raja Ramanna Centre for Advanced Technology, Indore, Madhya Pradesh (India)

    2008-07-01

    Nuclear Fuel Complex, a constituent of Department of Atomic Energy; India is responsible for manufacturing nuclear fuel in India . Over a million Uranium-di-oxide pellets fabricated per annum need visual inspection . In order to overcome the limitations of human based visual inspection, NFC has undertaken the development of machine vision system. The development involved designing various subsystems viz. mechanical and control subsystem for handling and rotation of fuel pellets, lighting subsystem for illumination, image acquisition system, and image processing system and integration. This paper brings out details of various subsystems and results obtained from the trials conducted. (author)

  13. Intelligent Machine Vision Based Modeling and Positioning System in Sand Casting Process

    Directory of Open Access Journals (Sweden)

    Shahid Ikramullah Butt

    2017-01-01

    Full Text Available Advanced vision solutions enable manufacturers in the technology sector to reconcile both competitive and regulatory concerns and address the need for immaculate fault detection and quality assurance. The modern manufacturing has completely shifted from the manual inspections to the machine assisted vision inspection methodology. Furthermore, the research outcomes in industrial automation have revolutionized the whole product development strategy. The purpose of this research paper is to introduce a new scheme of automation in the sand casting process by means of machine vision based technology for mold positioning. Automation has been achieved by developing a novel system in which casting molds of different sizes, having different pouring cup location and radius, position themselves in front of the induction furnace such that the center of pouring cup comes directly beneath the pouring point of furnace. The coordinates of the center of pouring cup are found by using computer vision algorithms. The output is then transferred to a microcontroller which controls the alignment mechanism on which the mold is placed at the optimum location.

  14. Accurate measurement method for tube's endpoints based on machine vision

    Science.gov (United States)

    Liu, Shaoli; Jin, Peng; Liu, Jianhua; Wang, Xiao; Sun, Peng

    2017-01-01

    Tubes are used widely in aerospace vehicles, and their accurate assembly can directly affect the assembling reliability and the quality of products. It is important to measure the processed tube's endpoints and then fix any geometric errors correspondingly. However, the traditional tube inspection method is time-consuming and complex operations. Therefore, a new measurement method for a tube's endpoints based on machine vision is proposed. First, reflected light on tube's surface can be removed by using photometric linearization. Then, based on the optimization model for the tube's endpoint measurements and the principle of stereo matching, the global coordinates and the relative distance of the tube's endpoint are obtained. To confirm the feasibility, 11 tubes are processed to remove the reflected light and then the endpoint's positions of tubes are measured. The experiment results show that the measurement repeatability accuracy is 0.167 mm, and the absolute accuracy is 0.328 mm. The measurement takes less than 1 min. The proposed method based on machine vision can measure the tube's endpoints without any surface treatment or any tools and can realize on line measurement.

  15. Accurate Measurement Method for Tube's Endpoints Based on Machine Vision

    Institute of Scientific and Technical Information of China (English)

    LIU Shaoli; JIN Peng; LIU Jianhua; WANG Xiao; SUN Peng

    2017-01-01

    Tubes are used widely in aerospace vehicles,and their accurate assembly can directly affect the assembling reliability and the quality of products.It is important to measure the processed tube's endpoints and then fix any geometric errors correspondingly.However,the traditional tube inspection method is time-consuming and complex operations.Therefore,a new measurement method for a tube's endpoints based on machine vision is proposed.First,reflected light on tube's surface can be removed by using photometric linearization.Then,based on the optimization model for the tube's endpoint measurements and the principle of stereo matching,the global coordinates and the relative distance of the tube's endpoint are obtained.To confirm the feasibility,11 tubes are processed to remove the reflected light and then the endpoint's positions of tubes are measured.The experiment results show that the measurement repeatability accuracy is 0.167 mm,and the absolute accuracy is 0.328 mm.The measurement takes less than 1 min.The proposed method based on machine vision can measure the tube's endpoints without any surface treatment or any tools and can realize on line measurement.

  16. Accurate measurement method for tube's endpoints based on machine vision

    Science.gov (United States)

    Liu, Shaoli; Jin, Peng; Liu, Jianhua; Wang, Xiao; Sun, Peng

    2016-08-01

    Tubes are used widely in aerospace vehicles, and their accurate assembly can directly affect the assembling reliability and the quality of products. It is important to measure the processed tube's endpoints and then fix any geometric errors correspondingly. However, the traditional tube inspection method is time-consuming and complex operations. Therefore, a new measurement method for a tube's endpoints based on machine vision is proposed. First, reflected light on tube's surface can be removed by using photometric linearization. Then, based on the optimization model for the tube's endpoint measurements and the principle of stereo matching, the global coordinates and the relative distance of the tube's endpoint are obtained. To confirm the feasibility, 11 tubes are processed to remove the reflected light and then the endpoint's positions of tubes are measured. The experiment results show that the measurement repeatability accuracy is 0.167 mm, and the absolute accuracy is 0.328 mm. The measurement takes less than 1 min. The proposed method based on machine vision can measure the tube's endpoints without any surface treatment or any tools and can realize on line measurement.

  17. Vision-Based People Detection System for Heavy Machine Applications

    Directory of Open Access Journals (Sweden)

    Vincent Fremont

    2016-01-01

    Full Text Available This paper presents a vision-based people detection system for improving safety in heavy machines. We propose a perception system composed of a monocular fisheye camera and a LiDAR. Fisheye cameras have the advantage of a wide field-of-view, but the strong distortions that they create must be handled at the detection stage. Since people detection in fisheye images has not been well studied, we focus on investigating and quantifying the impact that strong radial distortions have on the appearance of people, and we propose approaches for handling this specificity, adapted from state-of-the-art people detection approaches. These adaptive approaches nevertheless have the drawback of high computational cost and complexity. Consequently, we also present a framework for harnessing the LiDAR modality in order to enhance the detection algorithm for different camera positions. A sequential LiDAR-based fusion architecture is used, which addresses directly the problem of reducing false detections and computational cost in an exclusively vision-based system. A heavy machine dataset was built, and different experiments were carried out to evaluate the performance of the system. The results are promising, in terms of both processing speed and performance.

  18. Extreme Learning Machine and Moving Least Square Regression Based Solar Panel Vision Inspection

    Directory of Open Access Journals (Sweden)

    Heng Liu

    2017-01-01

    Full Text Available In recent years, learning based machine intelligence has aroused a lot of attention across science and engineering. Particularly in the field of automatic industry inspection, the machine learning based vision inspection plays a more and more important role in defect identification and feature extraction. Through learning from image samples, many features of industry objects, such as shapes, positions, and orientations angles, can be obtained and then can be well utilized to determine whether there is defect or not. However, the robustness and the quickness are not easily achieved in such inspection way. In this work, for solar panel vision inspection, we present an extreme learning machine (ELM and moving least square regression based approach to identify solder joint defect and detect the panel position. Firstly, histogram peaks distribution (HPD and fractional calculus are applied for image preprocessing. Then an ELM-based defective solder joints identification is discussed in detail. Finally, moving least square regression (MLSR algorithm is introduced for solar panel position determination. Experimental results and comparisons show that the proposed ELM and MLSR based inspection method is efficient not only in detection accuracy but also in processing speed.

  19. Study on the Fruit Grading Recognition System Based on Machine Vision

    Directory of Open Access Journals (Sweden)

    Huan Ma

    2015-07-01

    Full Text Available The study proposed that the current development of fruit industry requires the fast and efficient methods to test the varieties of fruits, which can combine the image processing and computer machine vision technology together to be applied in the field of fruit varieties detection, so as to be consistent with this new trend. At present, the determination of these traits were mainly depended on visual grading and manual measurement, which existed the problems such as: slow speed, low accuracy and poor objectivity and so on.

  20. Potential application of machine vision technology to saffron (Crocus sativus L.) quality characterization.

    Science.gov (United States)

    Kiani, Sajad; Minaei, Saeid

    2016-12-01

    Saffron quality characterization is an important issue in the food industry and of interest to the consumers. This paper proposes an expert system based on the application of machine vision technology for characterization of saffron and shows how it can be employed in practical usage. There is a correlation between saffron color and its geographic location of production and some chemical attributes which could be properly used for characterization of saffron quality and freshness. This may be accomplished by employing image processing techniques coupled with multivariate data analysis for quantification of saffron properties. Expert algorithms can be made available for prediction of saffron characteristics such as color as well as for product classification.

  1. Machine tool metrology an industrial handbook

    CERN Document Server

    Smith, Graham T

    2016-01-01

    Maximizing reader insights into the key scientific disciplines of Machine Tool Metrology, this text will prove useful for the industrial-practitioner and those interested in the operation of machine tools. Within this current level of industrial-content, this book incorporates significant usage of the existing published literature and valid information obtained from a wide-spectrum of manufacturers of plant, equipment and instrumentation before putting forward novel ideas and methodologies. Providing easy to understand bullet points and lucid descriptions of metrological and calibration subjects, this book aids reader understanding of the topics discussed whilst adding a voluminous-amount of footnotes utilised throughout all of the chapters, which adds some additional detail to the subject. Featuring an extensive amount of photographic-support, this book will serve as a key reference text for all those involved in the field. .

  2. Using Multiple FPGA Architectures for Real-time Processing of Low-level Machine Vision Functions

    Science.gov (United States)

    Thomas H. Drayer; William E. King; Philip A. Araman; Joseph G. Tront; Richard W. Conners

    1995-01-01

    In this paper, we investigate the use of multiple Field Programmable Gate Array (FPGA) architectures for real-time machine vision processing. The use of FPGAs for low-level processing represents an excellent tradeoff between software and special purpose hardware implementations. A library of modules that implement common low-level machine vision operations is presented...

  3. Characterization of oats (Avena sativa L.) cultivars using machine vision.

    Science.gov (United States)

    Sumathi, S; Balamurugan, P

    2013-10-15

    Machine vision or image analysis is an important tool in the study of morphology of any materials. This technique has been used successfully to differentiate the eleven oats cultivars based on morphological characters. The geometry of seeds was measured through image analyzer and the variation was observed and recorded. From the recorded data, the cluster analysis was carried out and it revealed that the cultivars could be grouped into two main clusters based on similarity in the measured parameters. Cultivar Sabzar, UPO 212, OL 9 and OL 88 formed one main cluster. The another main cluster includes cv. Kent, OS 6, UPO 94, HFO 114, OS 7, HJ 8 and JHO 822 with many sub clusters. Among the cultivars HJ 8 and JHO 822 has more similarity in all measured parameters than other cultivars. Thus morphological characterization through seed image analysis was found useful to discriminate the cultivars.

  4. FUSION OF MULTI FOCUSED IMAGES USING HDWT FOR MACHINE VISION

    Directory of Open Access Journals (Sweden)

    S. Arumuga Perumal

    2011-10-01

    Full Text Available During image acquisition in machine vision, due to limited depth of field of lens, it is possible to take clear image of the objects in the scene which are in focus only. The remaining objects in the scene will be out of focus. A possible solution to bring clear images of all objects in the scene is image fusion. Image fusion is a process of combining multiple images to form the composite image with extended information content. This paper uses three band expansive higher density discrete wavelet transform to fuse two numbers of images focusing different objects in the same scene and also proposes three methods for image fusion. Experimental results on multi focused image fusion are presented in terms of root mean square, peak signal to noise ratio and quality index to illustrate the proposed fusion methods.

  5. Machine vision inspection of rice seed based on Hough transform

    Institute of Scientific and Technical Information of China (English)

    成芳; 应义斌

    2004-01-01

    A machine vision system was developed to inspect the quality of rice seeds. Five varieties of Jinyou402, Shanyou10, Zhongyou207, Jiayou and IIyou were evaluated. The images of both sides of rice seed with black background and white background were acquired with the image processing system for identifying external features of rice seeds. Five image sets consisting of 600 original images each were obtained. Then a digital image processing algorithm based on Hough transform was developed to inspect the rice seeds with incompletely closed glumes. The algorithm was implemented with all image sets using a Matlab 6.5 procedure. The results showed that the algorithm achieved an average accuracy of 96% for normal seeds, 92% for seeds with fine fissure and 87% for seeds with incompletely closed glumes. The algorithm was proved to be applicable to different seed varieties and insensitive to the color of the background.

  6. Machine vision inspection of rice seed based on Hough transform

    Institute of Scientific and Technical Information of China (English)

    成芳; 应义斌

    2004-01-01

    A machine vision system was developed to inspect the quality of rice seeds. Five varieties of Jinyou402,Shanyou 10, Zhongyou207, Jiayou and Ilyou were evaluated. The images of both sides of rice seed with black background and white background were acquired with the image processing system for identifying external features of rice seeds. Five image sets consisting of 600 original images each were obtained. Then a digital image processing algorithm based on Hough transform was developed to inspect the rice seeds with incompletely closed glumes. The algorithm was implemented with all image sets using a Matlab 6.5 procedure. The results showed that the algorithm achieved an average accuracy of 96% for normal seeds, 92% for seeds with fine fissure and 87% for seeds with incompletely closed glumes. The algorithm was proved to be applicable to different seed varieties and insensitive to the color of the background.

  7. Application of Machine Vision to Vehicle Automatic Collision Warning Algorithm

    Institute of Scientific and Technical Information of China (English)

    WANG Jiang-feng; GAO Feng; XU Guo-yan; YAO Sheng-zhuo

    2008-01-01

    Using the new technologies such as information technology, communication technology and electronic control technology, vehicle collision warning system(CWS) can acquire road condition, adjacent vehicle march condition as well as its dynamics performance continuously, then it can forecast the oncoming potential collision and give a warning. Based on the analysis of driver's driving behavior, algorithm's warning norms are determined. Based on warning norms adopting machine vision method, the cooperation collision warning algorithm(CWA) model with multi-input and multi-output is established which is used in supporting vehicle CWS. The CWA is tested using the actual data and the result shows that this algorithm can identify and carry out warning for vehicle collision efficiently, which has important meaning for improving the vehicle travel safety.

  8. Hardware and software for prototyping industrial vision systems

    Science.gov (United States)

    Batchelor, Bruce G.; Daley, Michael W.; Griffiths, Eric C.

    1994-10-01

    A simple, low-cost device is described, which the authors have developed for prototyping industrial machine vision systems. The unit provides facilities for controlling the following devices, via a single serial (RS232) port, connected to a host computer: (a) Twelve ON/OFF mains devices (lamps, laser stripe generator, pattern projector, etc) (b) Four ON/OFF pneumatic valves (These are mounted on board the hardware module.) (c) One 8-way video multiplexor (d) Six programmable-speed serial (RS232) communication ports (e) Six opto- isolated 8-way parallel I/O ports. Using this unit, it is possible for software, running on the host computer and which contains only the most rudimentary I/O facilities, to operate a range of electro- mechanical devices. For example, a HyperCard program can switch lamps and pneumatic air lines ON/OFF, control the movements of an (X,Y,(theta) )-table and select different video cameras. These electro-mechanical devices form part of a flexible inspection cell, which the authors have built recently. This cell is being used to study the inspection of low-volume batch products, without the need for detailed instructions. The interface module has also been used to connect an image processing package, based on the Prolog programming language, to a gantry robot. This system plays dominoes against a human opponent.

  9. A real-time surface inspection system for precision steel balls based on machine vision

    Science.gov (United States)

    Chen, Yi-Ji; Tsai, Jhy-Cherng; Hsu, Ya-Chen

    2016-07-01

    Precision steel balls are one of the most fundament components for motion and power transmission parts and they are widely used in industrial machinery and the automotive industry. As precision balls are crucial for the quality of these products, there is an urgent need to develop a fast and robust system for inspecting defects of precision steel balls. In this paper, a real-time system for inspecting surface defects of precision steel balls is developed based on machine vision. The developed system integrates a dual-lighting system, an unfolding mechanism and inspection algorithms for real-time signal processing and defect detection. The developed system is tested under feeding speeds of 4 pcs s-1 with a detection rate of 99.94% and an error rate of 0.10%. The minimum detectable surface flaw area is 0.01 mm2, which meets the requirement for inspecting ISO grade 100 precision steel balls.

  10. Stereoscopic Machine-Vision System Using Projected Circles

    Science.gov (United States)

    Mackey, Jeffrey R.

    2010-01-01

    A machine-vision system capable of detecting obstacles large enough to damage or trap a robotic vehicle is undergoing development. The system includes (1) a pattern generator that projects concentric circles of laser light forward onto the terrain, (2) a stereoscopic pair of cameras that are aimed forward to acquire images of the circles, (3) a frame grabber and digitizer for acquiring image data from the cameras, and (4) a single-board computer that processes the data. The system is being developed as a prototype of machine- vision systems to enable robotic vehicles ( rovers ) on remote planets to avoid craters, large rocks, and other terrain features that could capture or damage the vehicles. Potential terrestrial applications of systems like this one could include terrain mapping, collision avoidance, navigation of robotic vehicles, mining, and robotic rescue. This system is based partly on the same principles as those of a prior stereoscopic machine-vision system in which the cameras acquire images of a single stripe of laser light that is swept forward across the terrain. However, this system is designed to afford improvements over some of the undesirable features of the prior system, including the need for a pan-and-tilt mechanism to aim the laser to generate the swept stripe, ambiguities in interpretation of the single-stripe image, the time needed to sweep the stripe across the terrain and process the data from many images acquired during that time, and difficulty of calibration because of the narrowness of the stripe. In this system, the pattern generator does not contain any moving parts and need not be mounted on a pan-and-tilt mechanism: the pattern of concentric circles is projected steadily in the forward direction. The system calibrates itself by use of data acquired during projection of the concentric-circle pattern onto a known target representing flat ground. The calibration- target image data are stored in the computer memory for use as a

  11. Development a Vision Based Seam Tracking System for None Destructive Testing Machines

    Directory of Open Access Journals (Sweden)

    Nasser moradi

    2013-04-01

    Full Text Available The automatic weld seam tracking is an important challenge in None Destructive Testing (NDT systems for welded pipe inspection. In this Study, a machine vision based seam tracker, is developed and implemented, instead of old electro-mechanical system. A novel algorithm based on the weld image centered is presented, to reduce Environment conditions and improve the seam tracking accuracy. The weld seam images are taken by a camera arranged ahead of the machine and the centered is extracted as a parameter to detect the weld position, and offset between this point and central axis is computed and used as control parameter of servomotors. Adaptive multi step segmentation t technique is employed to increase the probable of real edge of the welds and improve the line fitting accuracy. This new approach offers some important technical advantages over the existing solutions to weld seam detection: Its based on natural light and does not need any auxiliary light. The adaptive threshold segmentation technique applied, decrease Environmental lighting condition. Its accurate and stable in real time NDT testing machines. After a series of experiments in real industrial environment, it is demonstrated that accuracy of this method can improve the quality of NDT machines. The average tracking error is 1.5 pixels approximately 0.25mm..

  12. 3-D measuring of engine camshaft based on machine vision

    Science.gov (United States)

    Qiu, Jianxin; Tan, Liang; Xu, Xiaodong

    2008-12-01

    The non-touch 3D measuring based on machine vision is introduced into camshaft precise measuring. Currently, because CCD 3-dimensional measuring can't meet requirements for camshaft's measuring precision, it's necessary to improve its measuring precision. In this paper, we put forward a method to improve the measuring method. A Multi-Character Match method based on the Polygonal Non-regular model is advanced with the theory of Corner Extraction and Corner Matching .This method has solved the problem of the matching difficulty and a low precision. In the measuring process, the use of the Coded marked Point method and Self-Character Match method can bring on this problem. The 3D measuring experiment on camshaft, which based on the Multi-Character Match method of the Polygonal Non-regular model, proves that the normal average measuring precision is increased to a new level less than 0.04mm in the point-clouds photo merge. This measuring method can effectively increase the 3D measuring precision of the binocular CCD.

  13. Optical servoing for industrial surface machining

    Science.gov (United States)

    Koller, Norbert; Ofner, Ronald; O'Leary, Paul; Fauster, Ewald

    2006-02-01

    The surface machining of cracks is a key issue to ensure the quality of steel rods and billets. The aim is to grind these defects out of the material. This paper presents a real-time optical servo-system, consisting of three image processing systems and an industrial robot, which fully automate this process. A high resolution color progressive scan camera, placed at a suitable position above the roller conveyor, observes the material and detects color markings indicating the presence of a crack. This camera system controls the roller conveyor transporting the material until a marked crack is detected. Diffuse light sources provide homogeneous lighting to ensure reliable detection of the markings. A demosaicing algorithm, RGB to HSL color modeling and thresholding with statistical morphology are used to identify the marked areas. On detecting a crack the material is automatically positioned within the working area of an industrial robot. A collineation is used to generate metric two-dimensional coordinates corresponding to the bounding rectangle of the detected error. At this point two plane-of-light scanners are used to acquire a cross section of the material to the left and the right of the robot's working area. From this, a three-dimensional model for the rod or billet surface is calculated and the two-dimensional coordinates of the color marking are projected onto this surface to generate a patch. The coordinates of this patch are sent to the 6R industrial robot, which then grinds out the defect. A new concept has been implemented which enables the calibration of the three image processing systems and the industrial robot so as to have one common coordinate system. Operational results have shown the full functionality of the system concept in the harsh environment of a steel production facility.

  14. VISART: Artificial vision for industrial use. A comprehensive system

    Science.gov (United States)

    Debritoalves, Sdnei

    1992-02-01

    A thorough description of a Computer Vision System applied to inspection activities is presented, all of the life-cycle stages of this system being dealt with in detail. It was conceived, designed, and implemented within the scope of an applied research, entitled (VISART) Artificial Vision for Industrial Use: A Comprehensive System. During the effort employed in the development of this work, significant contributions were incorporated to the state-of-the-art in processing of binary images. The VISART system includes resources, concepts, and inovations not yet seen in similar systems. A new terminology with technical terms nearer to those used by engineers and technicians, in industrial environments, is proposed and it might contribute for acceptance and dissemination of Vision Systems in these environments. Concepts of Group Technology have been associated to Vision Systems and they might contribute for a greater integration of the industrial process automation. A special data structure was conceived for image data storage, allowing to reduce the processing time of algorithms of industrial part features-extraction. A library with a considerable number of feature extraction algorithms, used for recognition, acceptance or rejection of industrial products under inspection, was conceived and implemented. New algorithms can be appended to this library by the user, without the necessity of reprogramming the modules of the VISART system. Within this respect lies one of the main comprisement features of VISART. It has a graphic editor which makes possible to use it in activities such as teaching and formation of skilled personnel in the area of vision. At first, this facility exempts the use of sensors, making it more economic for use in these activities. All in all, this research work is a pioneer in Brazil, and its divulgation must contribute significantly for the dissemination and growth of the computer vision area applied to inspection, in the country.

  15. Potato Size and Shape Detection Using Machine Vision

    Directory of Open Access Journals (Sweden)

    Liao Guiping

    2015-01-01

    Full Text Available To reduce the error and faster classification by mechanizing in classifying the potato shape and size through machine vision using the extraction of characters procedure to identify the size, and using the shape detection procedure to identify the shape. Test results in potato size detection revealed 40/191 = 0.210mm/pixel as length scale or calibration factor (40/M where 40 is the table tennis ball size (40mm and 191 as image pixels table tennis (M; measurement results revealed that between the algorithm results and the manual measurements, the absolute error was <3mm, while the relative error rate was <4%; and the measurement results based on the ellipse axis length can accurately calculate the actual long axis and short axis of potato. Potato shape detection revealed the analysis of 228 images composed of 114 positive and 114 negatives side, only 2 have been incorrectly classified, mainly because the Extracted ratio (R of the potato image of those two positive and negative images are near 0.67, respectively 0.671887, 0.661063, 0.667604, and 0.67193. The comparison to establish a calibration system method using both basic rectangle and ellipse R ratio methods to detect the potato size and shape, revealed that the basic rectangle method has better effect in the case of fixed place. Moreover, the ellipse axis method was observed to be more stable with an error rate of 7%. Therefore it is recommended that the ellipse axis method should be used to detect the shape of potato for differentiation into round, long cylindrical, and oval shapes, with the accuracy level of 98.8%.

  16. A machine vision approach to seam tracking in real-time in PAW of large-diameter stainless steel tube

    Institute of Scientific and Technical Information of China (English)

    葛景国; 朱政强; 何德孚; 陈立功

    2004-01-01

    Manual monitoring and seam tracking through watching weld pool images in real-time, by naked eyes or by industrial TV, are experience-depended, subjective, labor intensive, and sometimes biased. So it is necessary to realize the automation of computer-aided seam tracking. A PAW (plasma arc welding) seam tracking system was developed, which senses the molten pool and the seam in one frame by a vision sensor, and then detects the seam deviation to adjust the work piece motion adaptively to the seam position sensed by vision sensor. A novel molten pool area image-processing algorithm based on machine vision was proposed. The algorithm processes each image at the speed of 20 frames/second in real-time to extract three feature variables to get the seam deviation. It is proved experimentally that the algorithm is very fast and effective. Issues related to the algorithm are also discussed.

  17. Machine Vision for Relative Spacecraft Navigation During Approach to Docking

    Science.gov (United States)

    Chien, Chiun-Hong; Baker, Kenneth

    2011-01-01

    This paper describes a machine vision system for relative spacecraft navigation during the terminal phase of approach to docking that: 1) matches high contrast image features of the target vehicle, as seen by a camera that is bore-sighted to the docking adapter on the chase vehicle, to the corresponding features in a 3d model of the docking adapter on the target vehicle and 2) is robust to on-orbit lighting. An implementation is provided for the case of the Space Shuttle Orbiter docking to the International Space Station (ISS) with quantitative test results using a full scale, medium fidelity mock-up of the ISS docking adapter mounted on a 6-DOF motion platform at the NASA Marshall Spaceflight Center Flight Robotics Laboratory and qualitative test results using recorded video from the Orbiter Docking System Camera (ODSC) during multiple orbiter to ISS docking missions. The Natural Feature Image Registration (NFIR) system consists of two modules: 1) Tracking which tracks the target object from image to image and estimates the position and orientation (pose) of the docking camera relative to the target object and 2) Acquisition which recognizes the target object if it is in the docking camera Field-of-View and provides an approximate pose that is used to initialize tracking. Detected image edges are matched to the 3d model edges whose predicted location, based on the pose estimate and its first time derivative from the previous frame, is closest to the detected edge1 . Mismatches are eliminated using a rigid motion constraint. The remaining 2d image to 3d model matches are used to make a least squares estimate of the change in relative pose from the previous image to the current image. The changes in position and in attitude are used as data for two Kalman filters whose outputs are smoothed estimate of position and velocity plus attitude and attitude rate that are then used to predict the location of the 3d model features in the next image.

  18. A vision of the pharmaceutical industry.

    Science.gov (United States)

    Muñio, S

    1998-01-01

    As the financial resources available for looking after the health of an aging population are limited, generic drugs (drugs that are no longer covered by a patent and marketed at a lower price) have come to be used in western countries as a means for meeting growing demand while leaving resources in the health budget for new drugs. In Spain, a law on product patents was introduced in 1992, which is much later than in other countries, and created difficulties in the definition and procedure for gaining approval for generic drugs. Circular 3/97 from the Ministry of Health finally resolved these issues. In this circular, generic pharmaceutical products (GPPs) are clearly defined and identified with a positive commitment towards guaranteeing the ability to interchange original drugs for other cheaper generic products and towards clarifying the Spanish vade mecum. The position of the pharmaceutical industry on generic drugs varies widely and consequently, it is impossible to make a general statement on the view of the industry. However, the commitment of Novartis, given the issues described above and in line with the company's global strategy, is to offer innovation and services to society. This is perfectly compatible with offering health professionals both innovative drugs and generic drugs of a high quality at a lower price, given that registering genetics requires less investment in research and development. In any case, GPPs face an uncertain future in Spain and market forecasts also differ widely, ranging from 15 billion to 80 billion pesetas in the year 2000. It will be necessary to get doctors and pharmacists positively involved, to set up fast structural measures, and to avoid rejection by patients through successful information and marketing.

  19. 机器视觉的构造及应用%A Summary of the Construction and Application of Machine Vision

    Institute of Scientific and Technical Information of China (English)

    徐仲勋; 黄科程

    2015-01-01

    文章介绍了机器视觉在处理图像时的几种方法以及目标跟踪的原理,分析了机器视觉在农业、工业、医学等领域的实际应用情况,探讨了现阶段机器视觉在各个领域存在的一些问题和解决的方法,最后对机器视觉技术的应用和发展前景做了展望。%This paper introduces the concept of machine vision, structure, expounds the developing situation, such as light source, optical lens, camera, etc. This paper introduces the application of machine vision in the several methods of processing the image. Machine vision were analyzed in the agricultural, industrial, medical and other fields of application. Discusses the present some problems of machine vision in various fields and the solution method. Finally, the application of machine vision technology and development prospects were discussed.

  20. A Machine Vision System for Quality Inspection of Pine Nuts

    Directory of Open Access Journals (Sweden)

    Ikramullah Khosa

    2016-09-01

    Full Text Available Computers and artificial intelligence have penetrated in the food industry since last decade, for intellectual automatic processing and packaging in general, and in assisting for quality inspection of the food itself in particular. The food quality assessment task becomes more challenging when it is about harmless internal examination of the ingredient, and even more when its size is also minute. In this article, a method for automatic detection, extraction and classification of raw food item is presented using x-ray image data of pine nuts. Image processing techniques are employed in developing an efficient method for automatic detection and then extraction of individual ingredient, from the source x-ray image which comprises bunch of nuts in a single frame. For data representation, statistical texture analysis is carried out and attributes are calculated from each of the sample image on the global level as features. In addition co-occurrence matrices are computed from images with four different offsets, and hence more features are extracted by using them. To find fewer meaningful characteristics, all the calculated features are organized in several combinations and then tested. Seventy percent of image data is used for training and 15% each for cross-validation and test purposes. Binary classification is performed using two state-of-the-art non-linear classifiers: Artificial Neural Network (ANN and Support Vector Machines (SVM. Performance is evaluated in terms of classification accuracy, specificity and sensitivity. ANN classifier showed 87.6% accuracy with correct recognition rate of healthy nuts and unhealthy nuts as 94% and 62% respectively. SVM classifier produced the similar accuracy achieving 86.3% specificity and 89.2% sensitivity rate. The results obtained are unique itself in terms of ingredient and promising relatively. It is also found that feature set size can be reduced up to 57% by compromising 3.5% accuracy, in combination with

  1. Musca domestica inspired machine vision system with hyperacuity

    Science.gov (United States)

    Riley, Dylan T.; Harman, William M.; Tomberlin, Eric; Barrett, Steven F.; Wilcox, Michael; Wright, Cameron H. G.

    2005-05-01

    Musca domestica, the common house fly, has a simple yet powerful and accessible vision system. Cajal indicated in 1885 the fly's vision system is the same as in the human retina. The house fly has some intriguing vision system features such as fast, analog, parallel operation. Furthermore, it has the ability to detect movement and objects at far better resolution than predicted by photoreceptor spacing, termed hyperacuity. We are investigating the mechanisms behind these features and incorporating them into next generation vision systems. We have developed a prototype sensor that employs a fly inspired arrangement of photodetectors sharing a common lens. The Gaussian shaped acceptance profile of each sensor coupled with overlapped sensor field of views provide the necessary configuration for obtaining hyperacuity data. The sensor is able to detect object movement with far greater resolution than that predicted by photoreceptor spacing. We have exhaustively tested and characterized the sensor to determine its practical resolution limit. Our tests coupled with theory from Bucklew and Saleh (1985) indicate that the limit to the hyperacuity response may only be related to target contrast. We have also implemented an array of these prototype sensors which will allow for two - dimensional position location. These high resolution, low contrast capable sensors are being developed for use as a vision system for an autonomous robot and the next generation of smart wheel chairs. However, they are easily adapted for biological endoscopy, downhole monitoring in oil wells, and other applications.

  2. Industrial Arts Curriculum Guide for Automated Machining in Metals Technology.

    Science.gov (United States)

    1985

    This curriculum guide is designed to be used for creating programs in automated machining education in Connecticut. The first sections of the guide are introductory, explaining the importance of computer-numerically controlled machines, describing the industrial arts scope and sequence for kindergarten through adult levels, describing the…

  3. Hand gesture recognition system based in computer vision and machine learning

    OpenAIRE

    Trigueiros, Paulo; Ribeiro, António Fernando; Reis, L.P.

    2015-01-01

    "Lecture notes in computational vision and biomechanics series, ISSN 2212-9391, vol. 19" Hand gesture recognition is a natural way of human computer interaction and an area of very active research in computer vision and machine learning. This is an area with many different possible applications, giving users a simpler and more natural way to communicate with robots/systems interfaces, without the need for extra devices. So, the primary goal of gesture recognition research applied to Hum...

  4. Computer vision and machine learning with RGB-D sensors

    CERN Document Server

    Shao, Ling; Kohli, Pushmeet

    2014-01-01

    This book presents an interdisciplinary selection of cutting-edge research on RGB-D based computer vision. Features: discusses the calibration of color and depth cameras, the reduction of noise on depth maps and methods for capturing human performance in 3D; reviews a selection of applications which use RGB-D information to reconstruct human figures, evaluate energy consumption and obtain accurate action classification; presents an approach for 3D object retrieval and for the reconstruction of gas flow from multiple Kinect cameras; describes an RGB-D computer vision system designed to assist t

  5. The systematic development of a machine vision based milking robot.

    NARCIS (Netherlands)

    Gouws, J.

    1993-01-01

    Agriculture involves unique interactions between man, machines, and various elements from nature. Therefore the implementation of advanced technology in agriculture holds different challenges than in other sectors of the economy. This dissertation stems from research into the application of advanced

  6. Machine Vision Automation for Ground Control Tele-Robotics Project

    Data.gov (United States)

    National Aeronautics and Space Administration — This project seeks to advance ground based tele-robotic capabilities with the development of natural feature target tracking technology with the use of machine...

  7. Measuring Leaf Motion of Tomato by Machine Vision

    NARCIS (Netherlands)

    Henten, van E.J.; Marx, G.E.H.; Hofstee, J.W.; Hemming, J.; Sarlikioti, V.

    2012-01-01

    For a better understanding of growth and development of tomato plants in three dimensional space, tomato plants were monitored using a computer vision system. It is commonly known that leaves of tomato plants do not have a fixed position and orientation during the day; they move in response to chang

  8. Electrochemical Machining – Special Equipment and Applications in Aircraft Industry

    Directory of Open Access Journals (Sweden)

    Ruszaj Adam

    2016-06-01

    Full Text Available Electrochemical machining is an unique method of shaping in which, for optimal parameters tool has no wear, surface layer properties after machining are similar to the core material and surface quality and accuracy increase together with material removal rate increase. Such advantages of electrochemical machining, besides of some ecological problems, create industry interest in the range of manufacturing elements made of materials with special properties (i.e. turbine blades of flow aircrafts engines. In the paper the nowadays possibilities and recent practical application of electrochemical machining in aircraft have been presented.

  9. On-line estimation of laser-drilled hole depth using a machine vision method.

    Science.gov (United States)

    Ho, Chao-Ching; He, Jun-Jia; Liao, Te-Ying

    2012-01-01

    The paper presents a novel method for monitoring and estimating the depth of a laser-drilled hole using machine vision. Through on-line image acquisition and analysis in laser machining processes, we could simultaneously obtain correlations between the machining processes and analyzed images. Based on the machine vision method, the depths of laser-machined holes could be estimated in real time. Therefore, a low cost on-line inspection system is developed to increase productivity. All of the processing work was performed in air under standard atmospheric conditions and gas assist was used. A correlation between the cumulative size of the laser-induced plasma region and the depth of the hole is presented. The result indicates that the estimated depths of the laser-drilled holes were a linear function of the cumulative plasma size, with a high degree of confidence. This research provides a novel machine vision-based method for estimating the depths of laser-drilled holes in real time.

  10. On-Line Estimation of Laser-Drilled Hole Depth Using a Machine Vision Method

    Directory of Open Access Journals (Sweden)

    Te-Ying Liao

    2012-07-01

    Full Text Available The paper presents a novel method for monitoring and estimating the depth of a laser-drilled hole using machine vision. Through on-line image acquisition and analysis in laser machining processes, we could simultaneously obtain correlations between the machining processes and analyzed images. Based on the machine vision method, the depths of laser-machined holes could be estimated in real time. Therefore, a low cost on-line inspection system is developed to increase productivity. All of the processing work was performed in air under standard atmospheric conditions and gas assist was used. A correlation between the cumulative size of the laser-induced plasma region and the depth of the hole is presented. The result indicates that the estimated depths of the laser-drilled holes were a linear function of the cumulative plasma size, with a high degree of confidence. This research provides a novel machine vision-based method for estimating the depths of laser-drilled holes in real time.

  11. 75 FR 71146 - In the Matter of Certain Machine Vision Software, Machine Vision Systems, and Products Containing...

    Science.gov (United States)

    2010-11-22

    ..., California; Techno Soft Systemnics, Inc. (``Techno Soft'') of Japan; Fuji Machine Manufacturing Co., Ltd. of... the investigation as to Amistar based on a consent order and settlement agreement, and as to...

  12. A zero waste vision for industrial networks in Europe.

    Science.gov (United States)

    Curran, T; Williams, I D

    2012-03-15

    'ZeroWIN' (Towards Zero Waste in Industrial Networks--www.zerowin.eu) is a five year project running 2009-2014, funded by the EC under the 7th Framework Programme. Project ZeroWIN envisions industrial networks that have eliminated the wasteful consumption of resources. Zero waste is a unifying concept for a range of measures aimed at eliminating waste and challenging old ways of thinking. Aiming for zero waste will mean viewing waste as a potential resource with value to be realised, rather than as a problem to be dealt with. The ZeroWIN project will investigate and demonstrate how existing approaches and tools can be improved and combined to best effect in an industrial network, and how innovative technologies can contribute to achieving the zero waste vision. Copyright © 2011 Elsevier B.V. All rights reserved.

  13. Machine vision-based high-resolution weed mapping and patch-sprayer performance simulation

    NARCIS (Netherlands)

    Tang, L.; Tian, L.F.; Steward, B.L.

    1999-01-01

    An experimental machine vision-based patch-sprayer was developed. This sprayer was primarily designed to do real-time weed density estimation and variable herbicide application rate control. However, the sprayer also had the capability to do high-resolution weed mapping if proper mapping techniques

  14. Gall mite inspection on dormant black currant buds using machine vision

    DEFF Research Database (Denmark)

    Nielsen, M. R.; Stigaard Laursen, Morten; Jonassen, M. S.

    2013-01-01

    This paper presents a novel machine vision-based approach detecting and mapping gall mite infection in dormant buds on black currant bushes. A vehicle was fitted with four cameras and RTK-GPS. Results compared automatic detection to human decisions based on the images, and by mapping the results ...

  15. Research and application of visual location technology for solder paste printing based on machine vision

    Institute of Scientific and Technical Information of China (English)

    Luosi WEI; Zongxia JIAO

    2009-01-01

    A location system is very important for solder paste printing in the process of surface mount technology (SMT). Using machine vision technology to complete the location mission is new and very efficient. This paper presents an integrated visual location system for solder paste printing based on machine vision. The working principle of solder paste printing is introduced and then the design and implementation of the visual location system are described. In the system, two key techniques are completed by secondary development based on VisionPro.One is accurate image location solved by the pattern-based location algorithms of PatMax. The other one is camera calibration that is achieved by image warping technology through the checkerboard plate. Moreover, the system can provide good performances such as high image locating accuracy with 1/40 sub-pixels, high anti-jamming, and high-speed location of objects whose appearance is rotated, scaled, and/or stretched.

  16. Automated cutting in the food industry using computer vision

    KAUST Repository

    Daley, Wayne D R

    2012-01-01

    The processing of natural products has posed a significant problem to researchers and developers involved in the development of automation. The challenges have come from areas such as sensing, grasping and manipulation, as well as product-specific areas such as cutting and handling of meat products. Meat products are naturally variable and fixed automation is at its limit as far as its ability to accommodate these products. Intelligent automation systems (such as robots) are also challenged, mostly because of a lack of knowledge of the physical characteristic of the individual products. Machine vision has helped to address some of these shortcomings but underperforms in many situations. Developments in sensors, software and processing power are now offering capabilities that will help to make more of these problems tractable. In this chapter we will describe some of the developments that are underway in terms of computer vision for meat product applications, the problems they are addressing and potential future trends. © 2012 Woodhead Publishing Limited All rights reserved.

  17. A distortion-correction method for workshop machine vision measurement system

    Science.gov (United States)

    Chen, Ruwen; Huang, Ren; Zhang, Zhisheng; Shi, Jinfei; Chen, Zixin

    2008-12-01

    The application of machine vision measurement system is developing rapidly in industry for its non-contact, high speed, and automation characteristics. However, there are nonlinear distortions in the images which are vital to measuring precision, for the object dimensions are determined by the image properties. People are interested in this problem and put forward some physical model based correction methods which are widely applied in engineering. However, these methods are difficult to be realized in workshop for the images are non-repetitive interfered by the coupled dynamic factors, which means the real imaging is a stochastic process. A new nonlinear distortion correction method based on a VNAR model (Volterra series based nonlinear auto-regressive time series model) is proposed to describe the distorted image edge series. The model parameter vectors are achieved by the laws of data. The distortion-free edges are obtained after model filtering and the image dimensions are transformed to measuring dimensions. Experimental results show that the method is reliable and can be applied to engineering.

  18. Automatic detection and counting of cattle in UAV imagery based on machine vision technology (Conference Presentation)

    Science.gov (United States)

    Rahnemoonfar, Maryam; Foster, Jamie; Starek, Michael J.

    2017-05-01

    Beef production is the main agricultural industry in Texas, and livestock are managed in pasture and rangeland which are usually huge in size, and are not easily accessible by vehicles. The current research method for livestock location identification and counting is visual observation which is very time consuming and costly. For animals on large tracts of land, manned aircraft may be necessary to count animals which is noisy and disturbs the animals, and may introduce a source of error in counts. Such manual approaches are expensive, slow and labor intensive. In this paper we study the combination of small unmanned aerial vehicle (sUAV) and machine vision technology as a valuable solution to manual animal surveying. A fixed-wing UAV fitted with GPS and digital RGB camera for photogrammetry was flown at the Welder Wildlife Foundation in Sinton, TX. Over 600 acres were flown with four UAS flights and individual photographs used to develop orthomosaic imagery. To detect animals in UAV imagery, a fully automatic technique was developed based on spatial and spectral characteristics of objects. This automatic technique can even detect small animals that are partially occluded by bushes. Experimental results in comparison to ground-truth show the effectiveness of our algorithm.

  19. Assisting the Tooling and Machining Industry to Become Energy Efficient

    Energy Technology Data Exchange (ETDEWEB)

    Curry, Bennett [Arizona Commerce Authority, Phoenix, AZ (United States)

    2016-12-30

    The Arizona Commerce Authority (ACA) conducted an Innovation in Advanced Manufacturing Grant Competition to support and grow southern and central Arizona’s Aerospace and Defense (A&D) industry and its supply chain. The problem statement for this grant challenge was that many A&D machining processes utilize older generation CNC machine tool technologies that can result an inefficient use of resources – energy, time and materials – compared to the latest state-of-the-art CNC machines. Competitive awards funded projects to develop innovative new tools and technologies that reduce energy consumption for older generation machine tools and foster working relationships between industry small to medium-sized manufacturing enterprises and third-party solution providers. During the 42-month term of this grant, 12 competitive awards were made. Final reports have been included with this submission.

  20. A New Color Constancy Model for Machine Vision

    Institute of Scientific and Technical Information of China (English)

    TAO Linmi; XU Guangyou

    2001-01-01

    Both physiological and psychological evidences suggest that the human visual system analyze images in neural subsystems tuned to different attributes of the stimulus. Color module and lightness module are such subsystems. Under this general result, a new physical model of trichromatic system has been developed to deal with the color constancy of computer vision. A normal color image is split into two images: the gray scale image and the equal lightness color image for the two modules. Relatively, a two-dimensional descriptor is applied to describe the property of surface reflectance in the equal lightness color image. This description of surface spectral reflectance has the property of color constancy. Image segmentation experiments based on color property of object show that the presented model is effective.

  1. Using Vision Metrology System for Quality Control in Automotive Industries

    Science.gov (United States)

    Mostofi, N.; Samadzadegan, F.; Roohy, Sh.; Nozari, M.

    2012-07-01

    The need of more accurate measurements in different stages of industrial applications, such as designing, producing, installation, and etc., is the main reason of encouraging the industry deputy in using of industrial Photogrammetry (Vision Metrology System). With respect to the main advantages of Photogrammetric methods, such as greater economy, high level of automation, capability of noncontact measurement, more flexibility and high accuracy, a good competition occurred between this method and other industrial traditional methods. With respect to the industries that make objects using a main reference model without having any mathematical model of it, main problem of producers is the evaluation of the production line. This problem will be so complicated when both reference and product object just as a physical object is available and comparison of them will be possible with direct measurement. In such case, producers make fixtures fitting reference with limited accuracy. In practical reports sometimes available precision is not better than millimetres. We used a non-metric high resolution digital camera for this investigation and the case study that studied in this paper is a chassis of automobile. In this research, a stable photogrammetric network designed for measuring the industrial object (Both Reference and Product) and then by using the Bundle Adjustment and Self-Calibration methods, differences between the Reference and Product object achieved. These differences will be useful for the producer to improve the production work flow and bringing more accurate products. Results of this research, demonstrate the high potential of proposed method in industrial fields. Presented results prove high efficiency and reliability of this method using RMSE criteria. Achieved RMSE for this case study is smaller than 200 microns that shows the fact of high capability of implemented approach.

  2. Machine Vision-Based Measurement Systems for Fruit and Vegetable Quality Control in Postharvest.

    Science.gov (United States)

    Blasco, José; Munera, Sandra; Aleixos, Nuria; Cubero, Sergio; Molto, Enrique

    2017-03-14

    Individual items of any agricultural commodity are different from each other in terms of colour, shape or size. Furthermore, as they are living thing, they change their quality attributes over time, thereby making the development of accurate automatic inspection machines a challenging task. Machine vision-based systems and new optical technologies make it feasible to create non-destructive control and monitoring tools for quality assessment to ensure adequate accomplishment of food standards. Such systems are much faster than any manual non-destructive examination of fruit and vegetable quality, thus allowing the whole production to be inspected with objective and repeatable criteria. Moreover, current technology makes it possible to inspect the fruit in spectral ranges beyond the sensibility of the human eye, for instance in the ultraviolet and near-infrared regions. Machine vision-based applications require the use of multiple technologies and knowledge, ranging from those related to image acquisition (illumination, cameras, etc.) to the development of algorithms for spectral image analysis. Machine vision-based systems for inspecting fruit and vegetables are targeted towards different purposes, from in-line sorting into commercial categories to the detection of contaminants or the distribution of specific chemical compounds on the product's surface. This chapter summarises the current state of the art in these techniques, starting with systems based on colour images for the inspection of conventional colour, shape or external defects and then goes on to consider recent developments in spectral image analysis for internal quality assessment or contaminant detection.

  3. SAD-based stereo vision machine on a System-on-Programmable-Chip (SoPC).

    Science.gov (United States)

    Zhang, Xiang; Chen, Zhangwei

    2013-03-04

    This paper, proposes a novel solution for a stereo vision machine based on the System-on-Programmable-Chip (SoPC) architecture. The SOPC technology provides great convenience for accessing many hardware devices such as DDRII, SSRAM, Flash, etc., by IP reuse. The system hardware is implemented in a single FPGA chip involving a 32-bit Nios II microprocessor, which is a configurable soft IP core in charge of managing the image buffer and users' configuration data. The Sum of Absolute Differences (SAD) algorithm is used for dense disparity map computation. The circuits of the algorithmic module are modeled by the Matlab-based DSP Builder. With a set of configuration interfaces, the machine can process many different sizes of stereo pair images. The maximum image size is up to 512 K pixels. This machine is designed to focus on real time stereo vision applications. The stereo vision machine offers good performance and high efficiency in real time. Considering a hardware FPGA clock of 90 MHz, 23 frames of 640 × 480 disparity maps can be obtained in one second with 5 × 5 matching window and maximum 64 disparity pixels.

  4. SAD-Based Stereo Vision Machine on a System-on-Programmable-Chip (SoPC

    Directory of Open Access Journals (Sweden)

    Zhangwei Chen

    2013-03-01

    Full Text Available This paper, proposes a novel solution for a stereo vision machine based on the System-on-Programmable-Chip (SoPC architecture. The SOPC technology provides great convenience for accessing many hardware devices such as DDRII, SSRAM, Flash, etc., by IP reuse. The system hardware is implemented in a single FPGA chip involving a 32-bit Nios II microprocessor, which is a configurable soft IP core in charge of managing the image buffer and users’ configuration data. The Sum of Absolute Differences (SAD algorithm is used for dense disparity map computation. The circuits of the algorithmic module are modeled by the Matlab-based DSP Builder. With a set of configuration interfaces, the machine can process many different sizes of stereo pair images. The maximum image size is up to 512 K pixels. This machine is designed to focus on real time stereo vision applications. The stereo vision machine offers good performance and high efficiency in real time. Considering a hardware FPGA clock of 90 MHz, 23 frames of 640 × 480 disparity maps can be obtained in one second with 5 × 5 matching window and maximum 64 disparity pixels.

  5. Machine vision based on the concept of contrast sensitivity of the human eye

    Science.gov (United States)

    Bezzubik, Vitali; Belashenkov, Nikolai; Vdovin, Gleb

    2014-09-01

    The model of contrast sensitivity function (CSF) of machine vision system, based on the CSF of the human visual system is proposed. By analogy with the human eye, we employ the concept of ganglion cell receptive field to the artificial light-sensitive elements. By further following this concept, we introduced quantative metrics of local and global contrast of digital image. We suggested that the contrast sensitivity threshold forms an iso-line in the parameter space contrast - spatial frequency. The model, implemented in a computer vision system, has been compared to the results of contrast sensitivity research, conducted directly with the human visual system, and demonstrated a good match.

  6. A review of RGB-LED based mixed-color illumination system for machine vision and microscopy

    Science.gov (United States)

    Hou, Lexin; Wang, Hexin; Xu, Min

    2016-09-01

    The theory and application of RGB-LED based mixed-color illumination system for use in machine vision and optical microscopy systems are presented. For machine vision system, relationship of various color sources and output image sharpness is discussed. From the viewpoint of gray scale images, evaluation and optimization methods of optimal illumination for machine vision are concluded. The image quality under monochromatic and mixed color illumination is compared. For optical microscopy system, demand of light source is introduced and design thoughts of RGB-LED based mixed-color illumination system are concluded. The problems need to be solved in this field are pointed out.

  7. Technology Vision 2020: A report on technology and the future of the U.S. petroleum industry

    Energy Technology Data Exchange (ETDEWEB)

    none,

    2000-02-01

    In February 2000, petroleum industry leaders signed a compact with ITP to work together through the Industries of the Future (IOF) initiative. This initiative helped industries articulate their long-term goals, create a unified vision for the future, and focus R&D efforts to achieve the industry vision. The industry defined its major goals for the future and outlined broad technology needs in Technology Vision 2020: A Technology Vision for the U.S. Petroleum Industry.

  8. Dynamic behavior analysis for a six axis industrial machining robot

    CERN Document Server

    Bisu, Claudiu-Florinel; Gérard, Alain; K'Nevez, Jean-Yves

    2012-01-01

    The six axis robots are widely used in automotive industry for their good repeatability (as defined in the ISO92983) (painting, welding, mastic deposition, handling etc.). In the aerospace industry, robot starts to be used for complex applications such as drilling, riveting, fiber placement, NDT, etc. Given the positioning performance of serial robots, precision applications require usually external measurement device with complexes calibration procedure in order to reach the precision needed. New applications in the machining field of composite material (aerospace, naval, or wind turbine for example) intend to use off line programming of serial robot without the use of calibration or external measurement device. For those applications, the position, orientation and path trajectory precision of the tool center point of the robot are needed to generate the machining operation. This article presents the different conditions that currently limit the development of robots in robotic machining applications. We ana...

  9. A two-level real-time vision machine combining coarse and fine grained parallelism

    DEFF Research Database (Denmark)

    Jensen, Lars Baunegaard With; Kjær-Nielsen, Anders; Pauwels, Karl;

    2010-01-01

    In this paper, we describe a real-time vision machine having a stereo camera as input generating visual information on two different levels of abstraction. The system provides visual low-level and mid-level information in terms of dense stereo and optical flow, egomotion, indicating areas...... a factor 90 and a reduction of latency of a factor 26 compared to processing on a single CPU--core. Since the vision machine provides generic visual information it can be used in many contexts. Currently it is used in a driver assistance context as well as in two robotic applications....... with independently moving objects as well as a condensed geometric description of the scene. The system operates at more than 20 Hz using a hybrid architecture consisting of one dual--GPU card and one quad-core CPU. The different processing stages of visual information have rather different characteristics...

  10. Quantifying nonhomogeneous colors in agricultural materials. Part II: comparison of machine vision and sensory panel evaluations.

    Science.gov (United States)

    Balaban, M O; Aparicio, J; Zotarelli, M; Sims, C

    2008-11-01

    The average colors of mangos and apples were measured using machine vision. A method to quantify the perception of nonhomogeneous colors by sensory panelists was developed. Three colors out of several reference colors and their perceived percentage of the total sample area were selected by untrained panelists. Differences between the average colors perceived by panelists and those from the machine vision were reported as DeltaE values (color difference error). Effects of nonhomogeneity of color, and using real samples or their images in the sensory panels on DeltaE were evaluated. In general, samples with more nonuniform colors had higher DeltaE values, suggesting that panelists had more difficulty in evaluating more nonhomogeneous colors. There was no significant difference in DeltaE values between the real fruits and their screen image, therefore images can be used to evaluate color instead of the real samples.

  11. Enhanced Machine Vision System for Ripe Fruit Detection Based on Robotic Harvesting

    Directory of Open Access Journals (Sweden)

    R. Thendral

    2015-04-01

    Full Text Available The proposed work intends to provide an efficient algorithm for the instruction of an automatic robot arm to choose the ripe fruits on the tree. Steps involved in this study are recognizing and locating the ripe fruits from the leaf and branch portions by using an efficient machine vision algorithm. Initially, discrete wavelet transform is used for better preserving of edges and fine details in the given input image. Then RGB, HSV, L*a*b* and YIQ color spaces were studied to segment the ripe fruits from the surrounding objects. Finally, the results showed that ‘I’ component of the YIQ color space has the best criterion for recognizing the fruit from the foliage. The fruit segmentation based on machine vision has an occlusion problem. In this proposed method these problems are also examined.

  12. Principles of image processing in machine vision systems for the color analysis of minerals

    Science.gov (United States)

    Petukhova, Daria B.; Gorbunova, Elena V.; Chertov, Aleksandr N.; Korotaev, Valery V.

    2014-09-01

    At the moment color sorting method is one of promising methods of mineral raw materials enrichment. This method is based on registration of color differences between images of analyzed objects. As is generally known the problem with delimitation of close color tints when sorting low-contrast minerals is one of the main disadvantages of color sorting method. It is can be related with wrong choice of a color model and incomplete image processing in machine vision system for realizing color sorting algorithm. Another problem is a necessity of image processing features reconfiguration when changing the type of analyzed minerals. This is due to the fact that optical properties of mineral samples vary from one mineral deposit to another. Therefore searching for values of image processing features is non-trivial task. And this task doesn't always have an acceptable solution. In addition there are no uniform guidelines for determining criteria of mineral samples separation. It is assumed that the process of image processing features reconfiguration had to be made by machine learning. But in practice it's carried out by adjusting the operating parameters which are satisfactory for one specific enrichment task. This approach usually leads to the fact that machine vision system unable to estimate rapidly the concentration rate of analyzed mineral ore by using color sorting method. This paper presents the results of research aimed at addressing mentioned shortcomings in image processing organization for machine vision systems which are used to color sorting of mineral samples. The principles of color analysis for low-contrast minerals by using machine vision systems are also studied. In addition, a special processing algorithm for color images of mineral samples is developed. Mentioned algorithm allows you to determine automatically the criteria of mineral samples separation based on an analysis of representative mineral samples. Experimental studies of the proposed algorithm

  13. Online tomato sorting based on shape, maturity, size, and surface defects using machine vision

    OpenAIRE

    ARJENAKI, Omid Omidi; MOGHADDAM, Parviz Ahmadi; MOTLAGH, Asad Moddares

    2013-01-01

    Online sorting of tomatoes according to their features is an important postharvest procedure. The purpose of this research was to develop an efficient machine vision-based experimental sorting system for tomatoes. Relevant sorting parameters included shape (oblong and circular), size (small and large), maturity (color), and defects. The variables defining shape, maturity, and size of the tomatoes were eccentricity, average of color components, and 2-D pixel area, respectively. Tomato defects ...

  14. Real-time machine vision FPGA implementation for microfluidic monitoring on Lab-on-Chips.

    Science.gov (United States)

    Sotiropoulou, Calliope-Louisa; Voudouris, Liberis; Gentsos, Christos; Demiris, Athanasios M; Vassiliadis, Nikolaos; Nikolaidis, Spyridon

    2014-04-01

    A machine vision implementation on a field-programmable gate array (FPGA) device for real-time microfluidic monitoring on Lab-On-Chips is presented in this paper. The machine vision system is designed to follow continuous or plug flows, for which the menisci of the fluids are always visible. The system discriminates between the front or "head" of the flow and the back or "tail" and is able to follow flows with a maximum speed of 20 mm/sec in circular channels of a diameter of 200 μm (corresponding to approx. 60 μl/sec ). It is designed to be part of a complete Point-of-Care system, which will be portable and operate in non-ideal laboratory conditions. Thus, it is able to cope with noise due to lighting conditions and small LoC displacements during the experiment execution. The machine vision system can be used for a variety of LoC devices, without the need for fiducial markers (such as redundancy patterns) for its operation. The underlying application requirements called for a complete hardware implementation. The architecture uses a variety of techniques to improve performance and minimize memory access requirements. The system input is 8 bit grayscale uncompressed video of up to 1 Mpixel resolution. The system uses an operating frequency of 170 Mhz and achieves a computational time of 13.97 ms (worst case), which leads to a throughput of 71.6 fps for 1 Mpixel video resolution.

  15. Machine Vision System Design Method%机器视觉系统的设计方法

    Institute of Scientific and Technical Information of China (English)

    王运哲; 白雁兵; 张博

    2011-01-01

    文章主要介绍了机器视觉系统的概念和发展历程,介绍了机器视觉的组成和基本原理,从工业摄像机、镜头、光源、图像采集卡几方面详细阐述了机器视觉系统的设计要点、分类、选型。%The article introduces the conception and the developmental process of machine vision system, the component and fundamental theory of machine vision, expatiates on main points of designing machine vision system, classifying, choosing type, enumerates the most of manufacturers in the field of machine vision system in china.

  16. Research on Machining Prototypes Using an Industrial Robot

    Directory of Open Access Journals (Sweden)

    Valdemar Smilgin

    2012-12-01

    Full Text Available The influence of vibrations on the quality of the processed surface is an important problem applying an industrial robot for machining prototypes. The intrinsic frequency of individual pieces of the robot may cause resonance due to vibration that appear in the machining process. The conducted experiment has investigated the activity of vibration along the process of milling wood, polypropylene and extruded polystyrene in the three-axe system. According to the influence of induced vibrations in the cutting process and considering surface roughness, feed rates for cutting taking into account every material have been chosen.Article in Lithuanian

  17. Research on Machining Prototypes Using an Industrial Robot

    Directory of Open Access Journals (Sweden)

    Valdemar Smilgin

    2013-02-01

    Full Text Available The influence of vibrations on the quality of the processed surface is an important problem applying an industrial robot for machining prototypes. The intrinsic frequency of individual pieces of the robot may cause resonance due to vibration that appear in the machining process. The conducted experiment has investigated the activity of vibration along the process of milling wood, polypropylene and extruded polystyrene in the three-axe system. According to the influence of induced vibrations in the cutting process and considering surface roughness, feed rates for cutting taking into account every material have been chosen.Article in Lithuanian

  18. Towards Sustainable Green Production: Exploring Automated Grading for Oil Palm Fresh Fruit Bunches (FFB Using Machine Vision and Spectral Analysis

    Directory of Open Access Journals (Sweden)

    Muhammad Makky

    2013-01-01

    Full Text Available Over the last decade, Indonesian palm oil industry has become a leading producer of the world, and been able to generatenotable foreign export reserves. In spite of this, problems still persist in this industry, including low productivity due to mishandling of raw material in post-harvest operations. One of the prime causes of this is manual grading/sorting of fresh fruit bunches, which is prone to error and misjudgement, as well as subjectivity. High demand of oil palm establishes its high price in world market, which drives the industry to expand its plantation area to increase production. Ultimately, it compromise forests and agricultural land, resulting stagnation or decline in several food products. Alternatively, before expanding plantation extent, oil extraction productivity of existing plantation can be improved by carefully selecting appropriate FFBs for post-harvest processing through introduction of automation. The use of machine vision and spectral analysis has shown to assist productivity of agricultural processing industry. This study employs automation technology for FFB grading in oil palm mills, resulting in improved raw material quality, thereby increasing the oil extraction productivity, and simultaneously contributing to partly release the pressure of deforestation by maintaining green agricultural areas.

  19. Semiautomatic machine for turning inside out industrial leather gloves

    Science.gov (United States)

    Aragón-Gonzalez, G.; Cano-Blanco, M.; León-Galicia, A.; Medrano-Sierra, L. F.; Morales-Gómez, J. R.

    2015-01-01

    The last step in the industrial leather gloves manufacturing is to turn the inside out so that the sewing be in the inside of the glove. This work presents the design and testing of a machine for that purpose. In order to quantify the relevant variables, testing was performed with a prototype glove. The employed devices and the testing proceeding were developed experimentally. The obtained information was used to build the turning inside out machine. This machine works with pneumatic power to carry the inside out turning by means of double effect lineal actuators. It has two independent work stations that could be operated simultaneously by two persons, one in each station or in single mode operating one station by one person. The turning inside out cycle is started by means of directional control valves operated with pedals. The velocity and developed force by the actuators is controlled with typical pneumatic resources. The geometrical dimensions of the machine are: 1.15 m length; 0.71 m width and 2.15 m high. Its approximated weight is 120 kg. The air consumption is 5.4 fps by each working station with 60 psig work pressure. The turning inside out operation is 40 s for each industrial leather glove.

  20. A Review of Machine-Vision-Based Analysis of Wireless Capsule Endoscopy Video

    Directory of Open Access Journals (Sweden)

    Yingju Chen

    2012-01-01

    Full Text Available Wireless capsule endoscopy (WCE enables a physician to diagnose a patient's digestive system without surgical procedures. However, it takes 1-2 hours for a gastroenterologist to examine the video. To speed up the review process, a number of analysis techniques based on machine vision have been proposed by computer science researchers. In order to train a machine to understand the semantics of an image, the image contents need to be translated into numerical form first. The numerical form of the image is known as image abstraction. The process of selecting relevant image features is often determined by the modality of medical images and the nature of the diagnoses. For example, there are radiographic projection-based images (e.g., X-rays and PET scans, tomography-based images (e.g., MRT and CT scans, and photography-based images (e.g., endoscopy, dermatology, and microscopic histology. Each modality imposes unique image-dependent restrictions for automatic and medically meaningful image abstraction processes. In this paper, we review the current development of machine-vision-based analysis of WCE video, focusing on the research that identifies specific gastrointestinal (GI pathology and methods of shot boundary detection.

  1. Computer Vision and Machine Learning for Autonomous Characterization of AM Powder Feedstocks

    Science.gov (United States)

    DeCost, Brian L.; Jain, Harshvardhan; Rollett, Anthony D.; Holm, Elizabeth A.

    2017-03-01

    By applying computer vision and machine learning methods, we develop a system to characterize powder feedstock materials for metal additive manufacturing (AM). Feature detection and description algorithms are applied to create a microstructural scale image representation that can be used to cluster, compare, and analyze powder micrographs. When applied to eight commercial feedstock powders, the system classifies powder images into the correct material systems with greater than 95% accuracy. The system also identifies both representative and atypical powder images. These results suggest the possibility of measuring variations in powders as a function of processing history, relating microstructural features of powders to properties relevant to their performance in AM processes, and defining objective material standards based on visual images. A significant advantage of the computer vision approach is that it is autonomous, objective, and repeatable.

  2. Computer Vision and Machine Learning for Autonomous Characterization of AM Powder Feedstocks

    Science.gov (United States)

    DeCost, Brian L.; Jain, Harshvardhan; Rollett, Anthony D.; Holm, Elizabeth A.

    2016-12-01

    By applying computer vision and machine learning methods, we develop a system to characterize powder feedstock materials for metal additive manufacturing (AM). Feature detection and description algorithms are applied to create a microstructural scale image representation that can be used to cluster, compare, and analyze powder micrographs. When applied to eight commercial feedstock powders, the system classifies powder images into the correct material systems with greater than 95% accuracy. The system also identifies both representative and atypical powder images. These results suggest the possibility of measuring variations in powders as a function of processing history, relating microstructural features of powders to properties relevant to their performance in AM processes, and defining objective material standards based on visual images. A significant advantage of the computer vision approach is that it is autonomous, objective, and repeatable.

  3. On-line welding quality inspection system for steel pipe based on machine vision

    Science.gov (United States)

    Yang, Yang

    2017-05-01

    In recent years, high frequency welding has been widely used in production because of its advantages of simplicity, reliability and high quality. In the production process, how to effectively control the weld penetration welding, ensure full penetration, weld uniform, so as to ensure the welding quality is to solve the problem of the present stage, it is an important research field in the field of welding technology. In this paper, based on the study of some methods of welding inspection, a set of on-line welding quality inspection system based on machine vision is designed.

  4. Tensor Voting A Perceptual Organization Approach to Computer Vision and Machine Learning

    CERN Document Server

    Mordohai, Philippos

    2006-01-01

    This lecture presents research on a general framework for perceptual organization that was conducted mainly at the Institute for Robotics and Intelligent Systems of the University of Southern California. It is not written as a historical recount of the work, since the sequence of the presentation is not in chronological order. It aims at presenting an approach to a wide range of problems in computer vision and machine learning that is data-driven, local and requires a minimal number of assumptions. The tensor voting framework combines these properties and provides a unified perceptual organiza

  5. [Development of a new position-recognition system for robotic radiosurgery systems using machine vision].

    Science.gov (United States)

    Mohri, Issai; Umezu, Yoshiyuki; Fukunaga, Junnichi; Tane, Hiroyuki; Nagata, Hironori; Hirashima, Hideaki; Nakamura, Katsumasa; Hirata, Hideki

    2014-08-01

    CyberKnife(®) provides continuous guidance through radiography, allowing instantaneous X-ray images to be obtained; it is also equipped with 6D adjustment for patient setup. Its disadvantage is that registration is carried out just before irradiation, making it impossible to perform stereo-radiography during irradiation. In addition, patient movement cannot be detected during irradiation. In this study, we describe a new registration system that we term "Machine Vision," which subjects the patient to no additional radiation exposure for registration purposes, can be set up promptly, and allows real-time registration during irradiation. Our technique offers distinct advantages over CyberKnife by enabling a safer and more precise mode of treatment. "Machine Vision," which we have designed and fabricated, is an automatic registration system that employs three charge coupled device cameras oriented in different directions that allow us to obtain a characteristic depiction of the shape of both sides of the fetal fissure and external ears in a human head phantom. We examined the degree of precision of this registration system and concluded it to be suitable as an alternative method of registration without radiation exposure when displacement is less than 1.0 mm in radiotherapy. It has potential for application to CyberKnife in clinical treatment.

  6. Vision-Based Perception and Classification of Mosquitoes Using Support Vector Machine

    Directory of Open Access Journals (Sweden)

    Masataka Fuchida

    2017-01-01

    Full Text Available The need for a novel automated mosquito perception and classification method is becoming increasingly essential in recent years, with steeply increasing number of mosquito-borne diseases and associated casualties. There exist remote sensing and GIS-based methods for mapping potential mosquito inhabitants and locations that are prone to mosquito-borne diseases, but these methods generally do not account for species-wise identification of mosquitoes in closed-perimeter regions. Traditional methods for mosquito classification involve highly manual processes requiring tedious sample collection and supervised laboratory analysis. In this research work, we present the design and experimental validation of an automated vision-based mosquito classification module that can deploy in closed-perimeter mosquito inhabitants. The module is capable of identifying mosquitoes from other bugs such as bees and flies by extracting the morphological features, followed by support vector machine-based classification. In addition, this paper presents the results of three variants of support vector machine classifier in the context of mosquito classification problem. This vision-based approach to the mosquito classification problem presents an efficient alternative to the conventional methods for mosquito surveillance, mapping and sample image collection. Experimental results involving classification between mosquitoes and a predefined set of other bugs using multiple classification strategies demonstrate the efficacy and validity of the proposed approach with a maximum recall of 98%.

  7. Nondestructive and rapid detection of potato black heart based on machine vision technology

    Science.gov (United States)

    Tian, Fang; Peng, Yankun; Wei, Wensong

    2016-05-01

    Potatoes are one of the major food crops in the world. Potato black heart is a kind of defect that the surface is intact while the tissues in skin become black. This kind of potato has lost the edibleness, but it's difficult to be detected with conventional methods. A nondestructive detection system based on the machine vision technology was proposed in this study to distinguish the normal and black heart of potatoes according to the different transmittance of them. The detection system was equipped with a monochrome CCD camera, LED light sources for transmitted illumination and a computer. Firstly, the transmission images of normal and black heart potatoes were taken by the detection system. Then the images were processed by algorithm written with VC++. As the transmitted light intensity was influenced by the radial dimension of the potato samples, the relationship between the grayscale value and the potato radial dimension was acquired by analyzing the grayscale value changing rule of the transmission image. Then proper judging condition was confirmed to distinguish the normal and black heart of potatoes after image preprocessing. The results showed that the nondestructive system built coupled with the processing methods was accessible for the detection of potato black heart at a considerable accuracy rate. The transmission detection technique based on machine vision is nondestructive and feasible to realize the detection of potato black heart.

  8. Machine Vision Analysis of Characteristics and Image Information Base Construction for Hybrid Rice Seed

    Institute of Scientific and Technical Information of China (English)

    2005-01-01

    Incompletely closed glumes, germination on panicle and disease ara thrae important factors causing poor seed quality of hybrid rice. To determine how many and which categories should be classified to meet the demand for seed in rice production, the effects of various degrees of incompletely closed glumes, germination on panicle and disease on germination percentage at the harvest and after storage for six months were studied by standard germination percentage test. Six categories of seeds with germ (germinated seeds), severe disease, incompletely closed glumes, spot disease, fine fissure and normal seeds were inspected and then treated separately. Images of the five hybrid rice seed (Jinyou 402, Shanyou 10, Zhongyou 27, Jiayou 99 and Ⅱ you 3207) were acquired with a self-developed machine vision system. Each image could be processed to get the feature values of seed region such as length, width, ratio of length to width, araa, solidity and hue. Then all the images of normal seeds were calculated to draw the feature value ranges of each hybrid rice variety. Finally, an image information base that stores typical images and related feature values of each variety was established. This image information base can help us to identify the classification limit of characteristics, and provide the reference of the threshold selection. The management of large numbers of pictures and the addition of new varieties have been supported. The research laid a foundation for extracting image features of hybrid rice seed, which is a key approach to futura quality inspection with machine vision.

  9. Technique for Calibration of Chassis components based on encoding marks and machine Vision metrology

    Institute of Scientific and Technical Information of China (English)

    SONG Li-mei; ZHANG Chun-bo; WEI Yi-ying; CHEN Hua-wei

    2011-01-01

    @@ A novel technique for calibrating crucial parameters of chassis components is proposed, which utilizes the machine vision metrology to measure 3D coordinates of the center of a component's hole for assembling in the 3D world coordinate system.In the measurement, encoding marks with special patterns will be assembled on the chassis component associated with cross drone and staff gauge located near the chassis.The geometry and coordinates of the cross drone consist of two planes orthogonal to each other and the staff gauge is in 3D space with high precision.A few images are taken by a highresolution camera in different orientations and perspectives.The 3D coordinates of 5 key points on the encoding marks will be calculated by the machine vision technique and those of the center of the holes to be calibrated will be calculated by the deduced algorithm in this paper.Experimental results show that the algorithm and the technique can satisfy the precision requirement when the components are assembled, and the average measurement precision provided by the algorithm is 0.0174 mm.

  10. Broiler weight estimation based on machine vision and artificial neural network.

    Science.gov (United States)

    Amraei, S; Abdanan Mehdizadeh, S; Salari, S

    2017-04-01

    1. Machine vision and artificial neural network (ANN) procedures were used to estimate live body weight of broiler chickens in 30 1-d-old broiler chickens reared for 42 d. 2. Imaging was performed two times daily. To localise chickens within the pen, an ellipse fitting algorithm was used and the chickens' head and tail removed using the Chan-Vese method. 3. The correlations between the body weight and 6 physical extracted features indicated that there were strong correlations between body weight and the 5 features including area, perimeter, convex area, major and minor axis length. 5. According to statistical analysis there was no significant difference between morning and afternoon data over 42 d. 6. In an attempt to improve the accuracy of live weight approximation different ANN techniques, including Bayesian regulation, Levenberg-Marquardt, Scaled conjugate gradient and gradient descent were used. Bayesian regulation with R(2) value of 0.98 was the best network for prediction of broiler weight. 7. The accuracy of the machine vision technique was examined and most errors were less than 50 g.

  11. 75 FR 41894 - Wapakoneta Machine Company, Currently Known as EF Industrial Technologies, Inc., Wapakoneta, OH...

    Science.gov (United States)

    2010-07-19

    ... production of machine knives. New information shows that as of early 2010, Wapakoneta Machine Company is... Employment and Training Administration Wapakoneta Machine Company, Currently Known as EF Industrial..., 2010, applicable to workers of Wapakoneta Machine Company, Wapakoneta, Ohio. The notice was...

  12. Agenda 2020: A Technology Vision and Research Agenda for America's Forest, Wood and Paper Industry

    Energy Technology Data Exchange (ETDEWEB)

    none,

    1994-11-01

    In November 1994, the forest products industry published Agenda 2020: A Technology Vision and Research Agenda for America's Forest, Wood and Paper Industry, which articulated the industry's vision. This document set the foundation for collaborative efforts between the industry and the federal government.

  13. Machine Learning and Computer Vision System for Phenotype Data Acquisition and Analysis in Plants

    Directory of Open Access Journals (Sweden)

    Pedro J. Navarro

    2016-05-01

    Full Text Available Phenomics is a technology-driven approach with promising future to obtain unbiased data of biological systems. Image acquisition is relatively simple. However data handling and analysis are not as developed compared to the sampling capacities. We present a system based on machine learning (ML algorithms and computer vision intended to solve the automatic phenotype data analysis in plant material. We developed a growth-chamber able to accommodate species of various sizes. Night image acquisition requires near infrared lightning. For the ML process, we tested three different algorithms: k-nearest neighbour (kNN, Naive Bayes Classifier (NBC, and Support Vector Machine. Each ML algorithm was executed with different kernel functions and they were trained with raw data and two types of data normalisation. Different metrics were computed to determine the optimal configuration of the machine learning algorithms. We obtained a performance of 99.31% in kNN for RGB images and a 99.34% in SVM for NIR. Our results show that ML techniques can speed up phenomic data analysis. Furthermore, both RGB and NIR images can be segmented successfully but may require different ML algorithms for segmentation.

  14. Machine Learning and Computer Vision System for Phenotype Data Acquisition and Analysis in Plants.

    Science.gov (United States)

    Navarro, Pedro J; Pérez, Fernando; Weiss, Julia; Egea-Cortines, Marcos

    2016-05-05

    Phenomics is a technology-driven approach with promising future to obtain unbiased data of biological systems. Image acquisition is relatively simple. However data handling and analysis are not as developed compared to the sampling capacities. We present a system based on machine learning (ML) algorithms and computer vision intended to solve the automatic phenotype data analysis in plant material. We developed a growth-chamber able to accommodate species of various sizes. Night image acquisition requires near infrared lightning. For the ML process, we tested three different algorithms: k-nearest neighbour (kNN), Naive Bayes Classifier (NBC), and Support Vector Machine. Each ML algorithm was executed with different kernel functions and they were trained with raw data and two types of data normalisation. Different metrics were computed to determine the optimal configuration of the machine learning algorithms. We obtained a performance of 99.31% in kNN for RGB images and a 99.34% in SVM for NIR. Our results show that ML techniques can speed up phenomic data analysis. Furthermore, both RGB and NIR images can be segmented successfully but may require different ML algorithms for segmentation.

  15. Methodology of Testing Shot Blasting Machines in Industrial Conditions

    Directory of Open Access Journals (Sweden)

    R. Wrona

    2012-04-01

    Full Text Available Shot blasting machines are widely used for automated surface treatment and finishing of castings. In shot blasting processes the stream of shots is generated and shaped by blasting turbines, making up a kinetic and dynamic system comprising a separating rotor, an adapting sleeve and a propelling rotor provided with blades. The shot blasting performance- i.e. the quality of shot treated surfaces depends on the actual design and operational parameters of the unit whilst the values of relevant parameters are associated with the geometry of turbine components and the level of its integration with the separator system. The circulation of the blasting medium becomes the integrating factor of the process line, starting from the hopper, through the propeller turbine, casting treatment, separation of contaminated abrasive mixture, to its recycling and reuse.Inferior quality of the abrasive agent (shot and insufficient purity of the abrasive mixture are responsible for low effectiveness of shot blasting. However, most practitioners fail to fully recognise the importance of proper diagnostics of the shot blasting process in industrial conditions. The wearing of major machine components and of the blasting agent and quality of shot treated surfaces are often misinterpreted, hence the need to take into account all factors involved in the process within the frame of a comprehensive methodology.This paper is an attempt to formulate and apply the available testing methods to the engineering practice in industrial conditions.

  16. 数控机床产业强势增长%Robust growth of NC machine tool industry

    Institute of Scientific and Technical Information of China (English)

    2006-01-01

    @@ The machine tool industry is an industry which provides production equipment for the equipment manufacturing industry, and the machine tool is the parent machine for equipment manufacturing, playing a key part in the industry.The equipment manufacturing industry, for example, the automobile industry, uses more than 60% of its fixed asset investment in the purchase of machine tools.The numerical control (NC)machine tool, as a mainstream product of the machine tool sector, has become a key piece of equipment for achieving modernisation of equipment manufacturing.It is the realistic requirement to speed up development of NC machine production for the development of China's equipment manufacturing industry.

  17. High-speed Robot Auto-sorting System Based on Machine Vision%高速机器人分拣系统机器视觉技术的研究

    Institute of Scientific and Technical Information of China (English)

    晏祖根; 李明; 徐克非; 孙小华; 闫志鹏; 孙智慧

    2014-01-01

    针对我国食品生产行业的实际需求,基于并联机器人、机器视觉等先进技术,构建了面向食品生产包装的高速机器人分拣系统,研究了输送带上运动食品的机器视觉定位算法,设计了运动食品分级与定位的机器视觉硬件系统,基于专业图像处理软件Sherlock,研发了自动分拣机器视觉软件系统,以提高我国食品生产效率、保证食品卫生、降低劳动强度。%In view of the actual demand of the food industry in China,the high-speed parallel robot auto-sorting system is constructed.The machine vision positioning algorithm of the moving food on the conveyor belt is studied.The machine vision hardware system for food sorting and positioning is designed.Based on second-ary development for Sherlock in VC programming environment,the machine vision software system is devel-oped.By applied the machine vision system,it can improve the production efficiency and reduce the labor’s intensity in our food and packaging industry.

  18. The Research of Multi Target Tracking Based on Machine Vision%基于机器视觉的多目标跟踪技术的研究

    Institute of Scientific and Technical Information of China (English)

    徐仲勋; 黄科程

    2015-01-01

    Machine vision can help the robot object recognition and operations on objects. In this paper,based on the industrial robot, a machine vision system is added. The system is composed of the robot,camera,image acquisition card,computer and system software. With the robot vision system,features and objects recognition can capture the target object,then the object position,the control of industri⁃al robots to perform tasks.%机器视觉可以帮助机器识别物体并对物体进行作业。本文在工业机器人的设计基础上,增加一个机器视觉系统。系统由机器人、摄像机、图像采集卡、计算机及系统软件所构成。机器人凭着这个视觉系统,可以捕获目标物体的特征并且识别目标物体,然后对物体进行定位,最后控制工业机器人完成作业任务。

  19. Fast and intuitive programming of adaptive laser cutting of lace enabled by machine vision

    Science.gov (United States)

    Vaamonde, Iago; Souto-López, Álvaro; García-Díaz, Antón

    2015-07-01

    A machine vision system has been developed, validated, and integrated in a commercial laser robot cell. It permits an offline graphical programming of laser cutting of lace. The user interface allows loading CAD designs and aligning them with images of lace pieces. Different thread widths are discriminated to generate proper cutting program templates. During online operation, the system aligns CAD models of pieces and lace images, pre-checks quality of lace cuts and adapts laser parameters to thread widths. For pieces detected with the required quality, the program template is adjusted by transforming the coordinates of every trajectory point. A low-cost lace feeding system was also developed for demonstration of full process automation.

  20. Image processing with genetic algorithm in a raisin sorting system based on machine vision

    Science.gov (United States)

    Abbasgholipour, Mahdi; Alasti, Behzad Mohammadi; Abbasgholipour, Vahdi; Derakhshan, Ali; Abbasgholipour, Mohammad; Rahmatfam, Sharmin; Rahmatfam, Sheyda; Habibifar, Rahim

    2012-04-01

    This study was undertaken to develop machine vision-based raisin detection technology. Supervised color image segmentation using a Permutation-coded Genetic Algorithm (GA) identifying regions in Hue-Saturation-Intensity (HSI) color space (GAHSI) for desired and undesired raisin detection was successfully implemented. Images were captured to explore the possibility of using GAHSI to locate desired raisin and undesired raisin regions in color space simultaneously. In this research, images were processed separately using three segmentation method, K-Means clustering in L*a*b* color space and GAHSI for single image, GA for single image in Red-Green-Blue (RGB) color space (GARGB). The GAHSI results provided evidence for the existence and separability of such regions. When compared with cluster analysis-based segmentation results, the GAHSI method showed no significant difference.

  1. Development of an automatic weld surface appearance inspection system using machine vision

    Institute of Scientific and Technical Information of China (English)

    Lin Sanbao; Fu Xibin; Fan Chenglei; Yang Chunli; Luo Lu

    2009-01-01

    In this paper, an automatic inspection system for weld surface appearance using machine vision has been developed to recognize weld surface defects such as porosities, cracks, etc. It can replace conventional manual visual inspection method, which is tedious, time-consuming, subjective, experience-depended, and sometimes biased. The system consists of a CCD camera, a self-designed annular light source, a sensor controller, a frame grabbing card, a computer and so on. After acquiring weld surface appearance images using CCD, the images are preprocessed using median filtering and a series of image enhancement algorithms. Then a dynamic threshold and morphology algorithms are applied to segment defect object. Finally, defect features information is obtained by eight neighborhoods boundary chain code algorithm. Experimental results show that the developed system is capable of inspecting most surface defects such as porosities, cracks with high reliability and accuracy.

  2. Development of a machine vision system for a real-time precision sprayer

    Science.gov (United States)

    Bossu, Jérémie; Gée, Christelle; Truchetet, Frédéric

    2007-01-01

    In the context of precision agriculture, we have developed a machine vision system for a real time precision sprayer. From a monochrome CCD camera located in front of the tractor, the discrimination between crop and weeds is obtained with an image processing based on spatial information using a Gabor filter. This method allows to detect the periodic signals from the non periodic one and it enables to enhance the crop rows whereas weeds have patchy distribution. Thus, weed patches were clearly identified by a blob-coloring method. Finally, we use a pinhole model to transform the weed patch coordinates image in world coordinates in order to activate the right electro-pneumatic valve of the sprayer at the right moment.

  3. Using machine vision and data mining techniques to identify cell properties via microfluidic flow analysis

    Science.gov (United States)

    Horowitz, Geoffrey; Bowie, Samuel; Liu, Anna; Stone, Nicholas; Sulchek, Todd; Alexeev, Alexander

    2016-11-01

    In order to quickly identify the wide range of mechanistic properties that are seen in cell populations, a coupled machine vision and data mining analysis is developed to examine high speed videos of cells flowing through a microfluidic device. The microfluidic device contains a microchannel decorated with a periodical array of diagonal ridges. The ridges compress flowing cells that results in complex cell trajectory and induces cell cross-channel drift, both depend on the cell intrinsic mechanical properties that can be used to characterize specific cell lines. Thus, the cell trajectory analysis can yield a parameter set that can serve as a unique identifier of a cell's membership to a specific cell population. By using the correlations between the cell populations and measured cell trajectories in the ridged microchannel, mechanical properties of individual cells and their specific populations can be identified via only information captured using video analysis. Financial support provided by National Science Foundation (NSF) Grant No. CMMI 1538161.

  4. An assembly system based on industrial robot with binocular stereo vision

    Science.gov (United States)

    Tang, Hong; Xiao, Nanfeng

    2017-01-01

    This paper proposes an electronic part and component assembly system based on an industrial robot with binocular stereo vision. Firstly, binocular stereo vision with a visual attention mechanism model is used to get quickly the image regions which contain the electronic parts and components. Secondly, a deep neural network is adopted to recognize the features of the electronic parts and components. Thirdly, in order to control the end-effector of the industrial robot to grasp the electronic parts and components, a genetic algorithm (GA) is proposed to compute the transition matrix and the inverse kinematics of the industrial robot (end-effector), which plays a key role in bridging the binocular stereo vision and the industrial robot. Finally, the proposed assembly system is tested in LED component assembly experiments, and the results denote that it has high efficiency and good applicability.

  5. Effectiveness of Direct Safety Regulations on Manufacturers and Users of Industrial Machines: Its Implications on Industrial Safety Policies in Republic of Korea

    Directory of Open Access Journals (Sweden)

    Gi Heung Choi

    2017-03-01

    Conclusion: Industrial safety policies and regulations associated with industrial machines must be directed towards eliminating the sources of danger at the stage of danger creation, thereby securing the safe industrial machines. Safety inspection further secures the safety of workers at the stage of danger use. The overall balance between such safety regulations is achieved by proper distribution of industrial machines subject to such regulations and the intensity of each regulation. Rearrangement of industrial machines subject to safety certification and self-declaration of conformity to include more movable industrial machines and other industrial machines with a high level of danger is also suggested.

  6. Machine vision method for online surface inspection of easy open can ends

    Science.gov (United States)

    Mariño, Perfecto; Pastoriza, Vicente; Santamaría, Miguel

    2006-10-01

    Easy open can end manufacturing process in the food canning sector currently makes use of a manual, non-destructive testing procedure to guarantee can end repair coating quality. This surface inspection is based on a visual inspection made by human inspectors. Due to the high production rate (100 to 500 ends per minute) only a small part of each lot is verified (statistical sampling), then an automatic, online, inspection system, based on machine vision, has been developed to improve this quality control. The inspection system uses a fuzzy model to make the acceptance/rejection decision for each can end from the information obtained by the vision sensor. In this work, the inspection method is presented. This surface inspection system checks the total production, classifies the ends in agreement with an expert human inspector, supplies interpretability to the operators in order to find out the failure causes and reduce mean time to repair during failures, and allows to modify the minimum can end repair coating quality.

  7. Setting Organizational Key Performance Indicators in the Precision Machine Industry

    Directory of Open Access Journals (Sweden)

    Mei-Hsiu Hong

    2015-11-01

    Full Text Available The aim of this research is to define (or set organizational key performance indicators (KPIs in the precision machine industry using the concept of core competence and the supply chain operations reference (SCOR model. The research is conducted in three steps. In the first step, a benchmarking study is conducted to collect major items of core competence and to group them into main categories in order to form a foundation for the research. In the second step, a case company questionnaire and interviews are conducted to identify the key factors of core competence in the precision machine industry. The analysis is conducted based on four dimensions and hence several analysis rounds are completed. Questionnaire data is analyzed with grey relational analysis (GRA and resulted in 5–6 key factors in each dimension or sub-dimension. Based on the conducted interviews, 13 of these identified key factors are separated into one organization objective, five key factors of core competence and seven key factors of core ability. In the final step, organizational KPIs are defined (or set for the five identified key factors of core competence. The most competitive core abilities for each of the five key factors are established. After that, organizational KPIs are set based on the core abilities within 3 main categories of KPIs (departmental, office grade and hierarchal for each key factor. The developed KPI system based on organizational objectives, core competences, and core abilities allow enterprises to handle dynamic market demand and business environments, as well as changes in overall corporate objectives.

  8. A machine vision system for micro-EDM based on linux

    Science.gov (United States)

    Guo, Rui; Zhao, Wansheng; Li, Gang; Li, Zhiyong; Zhang, Yong

    2006-11-01

    Due to the high precision and good surface quality that it can give, Electrical Discharge Machining (EDM) is potentially an important process for the fabrication of micro-tools and micro-components. However, a number of issues remain unsolved before micro-EDM becomes a reliable process with repeatable results. To deal with the difficulties in micro electrodes on-line fabrication and tool wear compensation, a micro-EDM machine vision system is developed with a Charge Coupled Device (CCD) camera, with an optical resolution of 1.61μm and an overall magnification of 113~729. Based on the Linux operating system, an image capturing program is developed with the V4L2 API, and an image processing program is exploited by using OpenCV. The contour of micro electrodes can be extracted by means of the Canny edge detector. Through the system calibration, the micro electrodes diameter can be measured on-line. Experiments have been carried out to prove its performance, and the reasons of measurement error are also analyzed.

  9. Research on automatic inspection system for defects on precise optical surface based on machine vision

    Institute of Scientific and Technical Information of China (English)

    WANG Xue; XIE Zhi-jiang

    2006-01-01

    In manufacture of precise optical products, it is important to inspect and classify the potential defects existing on the products' surfaces after precise machining in order to obtain high quality in both functionality and aesthetics. The existing methods for detecting and classifying defects all are low accuracy or efficiency or high cost in inspection process. In this paper, a new inspection system based on machine vision has been introduced, which uses automatic focusing and image mosaic technologies to rapidly acquire distinct surface image, and employs Case-Based Reasoning(CBR)method in defects classification. A modificatory fuzzy similarity algorithm in CBR has been adopted for more quick and robust need of pattern recognition in practice inspection. Experiments show that the system can inspect surface diameter of 500mm in half an hour with resolving power of 0.8μm diameter according to digs or 0.5μm transverse width according to scratches. The proposed inspection principles and methods not only have meet manufacturing requirements of precise optical products, but also have great potential applications in other fields of precise surface inspection.

  10. A Novel Approach to Automatic Road-Accident Detection using Machine Vision Techniques

    Directory of Open Access Journals (Sweden)

    Vaishnavi Ravindran

    2016-11-01

    Full Text Available In this paper, a novel approach for automatic road accident detection is proposed. The approach is based on detecting damaged vehicles from footage received from surveillance cameras installed in roads and highways which would indicate the occurrence of a road accident. Detection of damaged cars falls under the category of object detection in the field of machine vision and has not been achieved so far. In this paper, a new supervised learning method comprising of three different stages which are combined into a single framework in a serial manner which successfully detects damaged cars from static images is proposed. The three stages use five support vector machines trained with Histogram of gradients (HOG and Gray level co-occurrence matrix (GLCM features. Since damaged car detection has not been attempted, two datasets of damaged cars - Damaged Cars Dataset-1 (DCD-1 and Damaged Cars Dataset-2 (DCD-2 – was compiled for public release. Experiments were conducted on DCD-1 and DCD-2 which differ based on the distance at which the image is captured and the quality of the images. The accuracy of the system is 81.83% for DCD-1 captured at approximately 2 meters with good quality and 64.37% for DCD-2 captured at approximately 20 meters with poor quality.

  11. Quality indexing by machine vision during fermentation in black tea manufacturing

    Science.gov (United States)

    Borah, S.; Bhuyan, M.

    2003-04-01

    Although the organoleptic method of tea testing has been traditionally used for quality monitoring, an alternative way by machine vision may be advantageous. Although, the three main quality descriptors estimate the overall quality of made-tea, viz., strength, briskness and brightness of tea liquor, the exact colour detection in fermenting process leads to a good quality-monitoring tool. The use of digital image processing technique for this purpose is reported to play an effective role towards the production of good quality tea though it is not the only quality determining parameter. In this paper, it has been tried to compare the contribution of the chemical constituents towards the final product with the visual appearance in the processing stage by imaging. The use of machine intelligence supports the process somewhat invariantly in comparison to the human decision and colorimetric approach. The captured images are processed for colour matching with a standard image database using HSI colour model. The application of colour dissimilarity and perceptron learning for the standard images and the test images is ensured. Moreover, the performance of the system is being tried to correlate with the decision made by the organoleptic panel assigned for the tea testing and chemical test results on the final product. However, it should be noted that the optimized result could be achieved only when the other quality parameters such as withering, flavour (aroma) detection, drying status etc. are properly maintained.

  12. Industrial Technology Modernization Program. Project 32. Factory Vision. Phase 2

    Science.gov (United States)

    1988-04-01

    400B is through floppy disk media . On the shop floor, a set-up person is responsible for setting up the machines. The set-up person must look at the...million dollars. An additional five millon dollars of projected savings would be associated with the incorporation of the fifth cell for the same ten

  13. A noninvasive technique for real-time detection of bruises in apple surface based on machine vision

    Science.gov (United States)

    Zhao, Juan; Peng, Yankun; Dhakal, Sagar; Zhang, Leilei; Sasao, Akira

    2013-05-01

    Apple is one of the highly consumed fruit item in daily life. However, due to its high damage potential and massive influence on taste and export, the quality of apple has to be detected before it reaches the consumer's hand. This study was aimed to develop a hardware and software unit for real-time detection of apple bruises based on machine vision technology. The hardware unit consisted of a light shield installed two monochrome cameras at different angles, LED light source to illuminate the sample, and sensors at the entrance of box to signal the positioning of sample. Graphical Users Interface (GUI) was developed in VS2010 platform to control the overall hardware and display the image processing result. The hardware-software system was developed to acquire the images of 3 samples from each camera and display the image processing result in real time basis. An image processing algorithm was developed in Opencv and C++ platform. The software is able to control the hardware system to classify the apple into two grades based on presence/absence of surface bruises with the size of 5mm. The experimental result is promising and the system with further modification can be applicable for industrial production in near future.

  14. Basic design principles of colorimetric vision systems

    Science.gov (United States)

    Mumzhiu, Alex M.

    1998-10-01

    Color measurement is an important part of overall production quality control in textile, coating, plastics, food, paper and other industries. The color measurement instruments such as colorimeters and spectrophotometers, used for production quality control have many limitations. In many applications they cannot be used for a variety of reasons and have to be replaced with human operators. Machine vision has great potential for color measurement. The components for color machine vision systems, such as broadcast quality 3-CCD cameras, fast and inexpensive PCI frame grabbers, and sophisticated image processing software packages are available. However the machine vision industry has only started to approach the color domain. The few color machine vision systems on the market, produced by the largest machine vision manufacturers have very limited capabilities. A lack of understanding that a vision based color measurement system could fail if it ignores the basic principles of colorimetry is the main reason for the slow progress of color vision systems. the purpose of this paper is to clarify how color measurement principles have to be applied to vision systems and how the electro-optical design features of colorimeters have to be modified in order to implement them for vision systems. The subject of this presentation far exceeds the limitations of a journal paper so only the most important aspects will be discussed. An overview of the major areas of applications for colorimetric vision system will be discussed. Finally, the reasons why some customers are happy with their vision systems and some are not will be analyzed.

  15. Development of a model of machine hand eye coordination and program specifications for a topological machine vision system

    Science.gov (United States)

    1972-01-01

    A unified approach to computer vision and manipulation is developed which is called choreographic vision. In the model, objects to be viewed by a projected robot in the Viking missions to Mars are seen as objects to be manipulated within choreographic contexts controlled by a multimoded remote, supervisory control system on Earth. A new theory of context relations is introduced as a basis for choreographic programming languages. A topological vision model is developed for recognizing objects by shape and contour. This model is integrated with a projected vision system consisting of a multiaperture image dissector TV camera and a ranging laser system. System program specifications integrate eye-hand coordination and topological vision functions and an aerospace multiprocessor implementation is described.

  16. Tomato grading system using machine vision technology and neuro-fuzzy networks (ANFIS

    Directory of Open Access Journals (Sweden)

    H Izadi

    2016-04-01

    Full Text Available Introduction: The quality of agricultural products is associated with their color, size and health, grading of fruits is regarded as an important step in post-harvest processing. In most cases, manual sorting inspections depends on available manpower, time consuming and their accuracy could not be guaranteed. Machine Vision is known to be a useful tool for external features measurement (e.g. size, shape, color and defects and in recent century, Machine Vision technology has been used for shape sorting. The main purpose of this study was to develop new method for tomato grading and sorting using Neuro-fuzzy system (ANFIS and to compare the accuracies of the ANFIS predicted results with those suggested by a human expert. Materials and Methods: In this study, a total of 300 image of tomatoes (Rev ground was randomly harvested, classified in 3 ripeness stage, 3 sizes and 2 health. The grading and sorting mechanism consisted of a lighting chamber (cloudy sky, lighting source and a digital camera connected to a computer. The images were recorded in a special chamber with an indirect radiation (cloudy sky with four florescent lampson each sides and camera lens was entire to lighting chamber by a hole which was only entranced to outer and covered by a camera lens. Three types of features were extracted from final images; Shap, color and texture. To receive these features, we need to have images both in color and binary format in procedure shown in Figure 1. For the first group; characteristics of the images were analysis that could offer information an surface area (S.A., maximum diameter (Dmax, minimum diameter (Dmin and average diameters. Considering to the importance of the color in acceptance of food quality by consumers, the following classification was conducted to estimate the apparent color of the tomato; 1. Classified as red (red > 90% 2. Classified as red light (red or bold pink 60-90% 3. Classified as pink (red 30-60% 4. Classified as Turning

  17. CIMT 2003--An attractive gala of world machine tool industry

    Institute of Scientific and Technical Information of China (English)

    2002-01-01

    @@ With the support of the Chinese Government and through close cooperation with related machine tool associations from all countries of the world, the China Machine Tool & Tool Builders' Association(CMTBA) has successfully hosted seven times of the China International Machine Tool Show(CIMT). With expanding scales and exhibition of more advanced products, CIMT has become the largest and best- known international machine tool exhibition in China. Domestic and overseas machine tool manufacturers consider CIMT an important venue to demonstrate their new products, conduct technological exchanges, promote trade and seek cooperative and joint venture partners. The 8th China International Machine Tool Show, also known as CIMT 2003, will be held at the China International Exhibition Center in Beijing on April 16 - 22 next year. The organizer of CIMT 2003 has started the work of inviting domestic and overseas machine tool manufacturers to attend the grand exhibition.

  18. A Low Cost Vision Based Hybrid Fiducial Mark Tracking Technique for Mobile Industrial Robots

    OpenAIRE

    Mohammed Y Aalsalem; Wazir Zada Khan; Quratul Ain Arshad

    2012-01-01

    The field of robotic vision is developing rapidly. Robots can react intelligently and provide assistance to user activities through sentient computing. Since industrial applications pose complex requirements that cannot be handled by humans, an efficient low cost and robust technique is required for the tracking of mobile industrial robots. The existing sensor based techniques for mobile robot tracking are expensive and complex to deploy, configure and maintain. Also some of them demand dedic...

  19. 机械制造自动化的机器视觉技术应用%Machinery Manufacturing Automation Application of Machine Vision Technique

    Institute of Scientific and Technical Information of China (English)

    支月蓉

    2015-01-01

    In machinery manufacturing industry,video technology and infrared imaging technology have been widely applied. The machine vision technology is a technology which uses computer technology to simulate visual system of human beings and to interpret images instead of supervisor.Depending on its advantages such as quick processing speed,large information processing, full functions and so on,machine vision technology gets developed along with the process of facilitating automation level.%在机械制造行业,视频技术和红外成像技术得到了广泛的应用.机器视觉技术是由计算机技术来模拟人的视觉系统,代替原有的监控人员进行图像理解.凭借其运行速度较快,信息处理量大,以及功能齐全等诸多优点,机器视觉技术在推动自动化水平前进的同时自身也得到了良好的发展.

  20. Feature-Free Activity Classification of Inertial Sensor Data With Machine Vision Techniques: Method, Development, and Evaluation.

    Science.gov (United States)

    Dominguez Veiga, Jose Juan; O'Reilly, Martin; Whelan, Darragh; Caulfield, Brian; Ward, Tomas E

    2017-08-04

    Inertial sensors are one of the most commonly used sources of data for human activity recognition (HAR) and exercise detection (ED) tasks. The time series produced by these sensors are generally analyzed through numerical methods. Machine learning techniques such as random forests or support vector machines are popular in this field for classification efforts, but they need to be supported through the isolation of a potentially large number of additionally crafted features derived from the raw data. This feature preprocessing step can involve nontrivial digital signal processing (DSP) techniques. However, in many cases, the researchers interested in this type of activity recognition problems do not possess the necessary technical background for this feature-set development. The study aimed to present a novel application of established machine vision methods to provide interested researchers with an easier entry path into the HAR and ED fields. This can be achieved by removing the need for deep DSP skills through the use of transfer learning. This can be done by using a pretrained convolutional neural network (CNN) developed for machine vision purposes for exercise classification effort. The new method should simply require researchers to generate plots of the signals that they would like to build classifiers with, store them as images, and then place them in folders according to their training label before retraining the network. We applied a CNN, an established machine vision technique, to the task of ED. Tensorflow, a high-level framework for machine learning, was used to facilitate infrastructure needs. Simple time series plots generated directly from accelerometer and gyroscope signals are used to retrain an openly available neural network (Inception), originally developed for machine vision tasks. Data from 82 healthy volunteers, performing 5 different exercises while wearing a lumbar-worn inertial measurement unit (IMU), was collected. The ability of the

  1. Integrating Symbolic and Statistical Methods for Testing Intelligent Systems Applications to Machine Learning and Computer Vision

    Energy Technology Data Exchange (ETDEWEB)

    Jha, Sumit Kumar [University of Central Florida, Orlando; Pullum, Laura L [ORNL; Ramanathan, Arvind [ORNL

    2016-01-01

    Embedded intelligent systems ranging from tiny im- plantable biomedical devices to large swarms of autonomous un- manned aerial systems are becoming pervasive in our daily lives. While we depend on the flawless functioning of such intelligent systems, and often take their behavioral correctness and safety for granted, it is notoriously difficult to generate test cases that expose subtle errors in the implementations of machine learning algorithms. Hence, the validation of intelligent systems is usually achieved by studying their behavior on representative data sets, using methods such as cross-validation and bootstrapping.In this paper, we present a new testing methodology for studying the correctness of intelligent systems. Our approach uses symbolic decision procedures coupled with statistical hypothesis testing to. We also use our algorithm to analyze the robustness of a human detection algorithm built using the OpenCV open-source computer vision library. We show that the human detection implementation can fail to detect humans in perturbed video frames even when the perturbations are so small that the corresponding frames look identical to the naked eye.

  2. X-ray-based machine vision system for distal locking of intramedullary nails.

    Science.gov (United States)

    Juneho, F; Bouazza-Marouf, K; Kerr, D; Taylor, A J; Taylor, G J S

    2007-05-01

    In surgical procedures for femoral shaft fracture treatment, current techniques for locking the distal end of intramedullary nails, using two screws, rely heavily on the use of two-dimensional X-ray images to guide three-dimensional bone drilling processes. Therefore, a large number of X-ray images are required, as the surgeon uses his/her skills and experience to locate the distal hole axes on the intramedullary nail. The long-term effects of X-ray radiation and their relation to different types of cancer still remain uncertain. Therefore, there is a need to develop a surgical technique that can limit the use of X-rays during the distal locking procedure. A robotic-assisted orthopaedic surgery system has been developed at Loughborough University to assist orthopaedic surgeons by reducing the irradiation involved in such operations. The system simplifies the current approach as it uses only two near-orthogonal X-ray images to determine the drilling trajectory of the distal locking holes, thereby considerably reducing irradiation to both the surgeon and patient. Furthermore, the system uses robust machine vision features to reduce the surgeon's interaction with the system, thus reducing the overall operating time. Laboratory test results have shown that the proposed system is very robust in the presence of variable noise and contrast in the X-ray images.

  3. Colour Model for Outdoor Machine Vision for Tropical Regions and its Comparison with the CIE Model

    Energy Technology Data Exchange (ETDEWEB)

    Sahragard, Nasrolah; Ramli, Abdul Rahman B [Institute of Advanced Technology, Universiti Putra Malaysia 43400 Serdang, Selangor (Malaysia); Marhaban, Mohammad Hamiruce [Department of Electrical and Electronic Engineering, Faculty of Engineering, Universiti Putra Malaysia 43400 Serdang, Selangor (Malaysia); Mansor, Shattri B, E-mail: sahragard@yahoo.com [Department of Civil Engineering, Faculty of Engineering, Universiti Putra Malaysia 43400 Serdang, Selangor (Malaysia)

    2011-02-15

    Accurate modeling of daylight and surface reflectance are very useful for most outdoor machine vision applications specifically those which are based on color recognition. Existing daylight CIE model has drawbacks that limit its ability to predict the color of incident light. These limitations include lack of considering ambient light, effects of light reflected off the ground, and context specific information. Previously developed color model is only tested for a few geographical places in North America and its accountability is under question for other places in the world. Besides, existing surface reflectance models are not easily applied to outdoor images. A reflectance model with combined diffuse and specular reflection in normalized HSV color space could be used to predict color. In this paper, a new daylight color model showing the color of daylight for a broad range of sky conditions is developed which will suit weather conditions of tropical places such as Malaysia. A comparison of this daylight color model and daylight CIE model will be discussed. The colors of matte and specular surfaces have been estimated by use of the developed color model and surface reflection function in this paper. The results are shown to be highly reliable.

  4. A New High-Speed Foreign Fiber Detection System with Machine Vision

    Directory of Open Access Journals (Sweden)

    Zhiguo Chen

    2010-01-01

    Full Text Available A new high-speed foreign fiber detection system with machine vision is proposed for removing foreign fibers from raw cotton using optimal hardware components and appropriate algorithms designing. Starting from a specialized lens of 3-charged couple device (CCD camera, the system applied digital signal processor (DSP and field-programmable gate array (FPGA on image acquisition and processing illuminated by ultraviolet light, so as to identify transparent objects such as polyethylene and polypropylene fabric from cotton tuft flow by virtue of the fluorescent effect, until all foreign fibers that have been blown away safely by compressed air quality can be achieved. An image segmentation algorithm based on fast wavelet transform is proposed to identify block-like foreign fibers, and an improved canny detector is also developed to segment wire-like foreign fibers from raw cotton. The procedure naturally provides color image segmentation method with region growing algorithm for better adaptability. Experiments on a variety of images show that the proposed algorithms can effectively segment foreign fibers from test images under various circumstances.

  5. Histogram of Intensity Feature Extraction for Automatic Plastic Bottle Recycling System Using Machine Vision

    Directory of Open Access Journals (Sweden)

    Suzaimah Ramli

    2008-01-01

    Full Text Available Currently, many recycling activities adopt manual sorting for plastic recycling that relies on plant personnel who visually identify and pick plastic bottles as they travel along the conveyor belt. These bottles are then sorted into the respective containers. Manual sorting may not be a suitable option for recycling facilities of high throughput. It has also been noted that the high turnover among sorting line workers had caused difficulties in achieving consistency in the plastic separation process. As a result, an intelligent system for automated sorting is greatly needed to replace manual sorting system. The core components of machine vision for this intelligent sorting system is the image recognition and classification. In this research, the overall plastic bottle sorting system is described. Additionally, the feature extraction algorithm used is discussed in detail since it is the core component of the overall system that determines the success rate. The performance of the proposed feature extractions were evaluated in terms of classification accuracy and result obtained showed an accuracy of more than 80%.

  6. Machine Vision Based Measurement of Dynamic Contact Angles in Microchannel Flows

    Institute of Scientific and Technical Information of China (English)

    Valtteri Heiskanen; Kalle Marjanen; Pasi Kallio

    2008-01-01

    When characterizing flows in miniaturized channels, the determination of the dynamic contact angle is important. By measuring the dynamic contact angle, the flow properties of the flowing liquid and the effect of material properties on the flow can be characterized. A machine vision based system to measure the contact angle of front or rear menisci of a moving liquid plug is described in this article. In this research, transparent flow channels fabricated on thermoplastic polymer and scaled with an adhesive tape are used. The transparency of the channels enables image based monitoring and measurement of flow variables, including the dynamic contact angle. It is shown that the dynamic angle can be measured from a liquid flow in a channel using the image based measurement system. An image processing algorithm has been developed in a MATLAB environment. Im-ages are taken using a CCD camera and the channels are illuminated using a custom made ring light. Two fitting methods, a circle and two parabolas, are experimented and the results are compared in the measurement of the dynamic contact angles.

  7. Nanotechnology for the Forest Products Industry Vision and Technology Roadmap

    Energy Technology Data Exchange (ETDEWEB)

    Atalla, Rajai [USDA Forest Service, Washington, DC (United States); Beecher, James [USDA Forest Service, Washington, DC (United States); Caron, Robert [Technical Association of the Pulp and Paper Industry, Peachtree Corners, GA (United States); Catchmark, Jeffrey [Pennsylvania State Univ., State College, PA (United States); Deng, Yulin [Georgia Inst. of Technology, Atlanta, GA (United States); Glasser, Wolfgang [Virginia Polytechnic Inst. and State Univ. (Virginia Tech), Blacksburg, VA (United States); Gray, Derek [McGill Univ., Montreal, QC (Canada); Haigler, Candace [North Carolina State Univ., Raleigh, NC (United States); Jones, Philip [Imerys, Paris (France); Joyce, Margaret [Western Michigan Univ., Kalamazoo MI (United States); Kohlman, Jane [USDA Forest Service, Washington, DC (United States); Koukoulas, Alexander [Technical Association of the Pulp and Paper Industry, Peachtree Corners, GA (United States); Lancaster, Peter [Weyerhaeuser Company, Longview, WA (United States); Perine, Lori [American Forest and Paper Association, Washington, DC (United States); Rodriguez, Augusto [Georgia-Pacific Corporation, Atlanta, GA (United States); Ragauskas, Arthur [Georgia Inst. of Technology, Atlanta, GA (United States); Wegner, Theodore [USDA Forest Service, Washington, DC (United States); Zhu, Junyong [USDA Forest Service, Washington, DC (United States)

    2005-03-01

    A roadmap for Nanotechnology in the Forest Products Industries has been developed under the umbrella of the Agenda 2020 program overseen by the CTO committee. It is expected that the use of new analytical techniques and methodologies will allow us to understand the complex nature of wood based materials and allow the dramatically enhanced use of the major strategic asset the US has in renewable, recyclable resources based on its well managed Forests.

  8. Application of generalized Hough transform for detecting sugar beet plant from weed using machine vision method

    Directory of Open Access Journals (Sweden)

    A Bakhshipour Ziaratgahi

    2017-05-01

    Full Text Available Introduction Sugar beet (Beta vulgaris L. as the second most important world’s sugar source after sugarcane is one of the major industrial crops. The presence of weeds in sugar beet fields, especially at early growth stages, results in a substantial decrease in the crop yield. It is very important to efficiently eliminate weeds at early growing stages. The first step of precision weed control is accurate detection of weeds location in the field. This operation can be performed by machine vision techniques. Hough transform is one of the shape feature extraction methods for object tracking in image processing which is basically used to identify lines or other geometrical shapes in an image. Generalized Hough transform (GHT is a modified version of the Hough transform used not only for geometrical forms, but also for detecting any arbitrary shape. This method is based on a pattern matching principle that uses a set of vectors of feature points (usually object edge points to a reference point to construct a pattern. By comparing this pattern with a set pattern, the desired shape is detected. The aim of this study was to identify the sugar beet plant from some common weeds in a field using the GHT. Materials and Methods Images required for this study were taken at the four-leaf stage of sugar beet as the beginning of the critical period of weed control. A shelter was used to avoid direct sunlight and prevent leaf shadows on each other. The obtained images were then introduced to the Image Processing Toolbox of MATLAB programming software for further processing. Green and Red color components were extracted from primary RGB images. In the first step, binary images were obtained by applying the optimal threshold on the G-R images. A comprehensive study of several sugar beet images revealed that there is a unique feature in sugar beet leaves which makes them differentiable from the weeds. The feature observed in all sugar beet plants at the four

  9. Machine vision assisted analysis of structure-localization relationships in a combinatorial library of prospective bioimaging probes

    OpenAIRE

    Shedden, Kerby; Li, Qian; Liu, Fangyi; Chang, Young Tae; Rosania, Gus R.

    2009-01-01

    With a combinatorial library of bioimaging probes, it is now possible to use machine vision to analyze the contribution of different building blocks of the molecules to their cell-associated visual signals. For athis purpose, cell-permeant, fluorescent styryl molecules were synthesized by condensation of 168 aldehyde with 8 pyridinium/quinolinium building blocks. Images of cells incubated with fluorescent molecules were acquired with a high content screening instrument. Chemical and image fea...

  10. 1st International Conference on Machine Learning for Cyber Physical Systems and Industry 4.0

    CERN Document Server

    Beyerer, Jürgen

    2016-01-01

    The work presents new approaches to Machine Learning for Cyber Physical Systems, experiences and visions. It contains some selected papers from the international Conference ML4CPS – Machine Learning for Cyber Physical Systems, which was held in Lemgo, October 1-2, 2015. Cyber Physical Systems are characterized by their ability to adapt and to learn: They analyze their environment and, based on observations, they learn patterns, correlations and predictive models. Typical applications are condition monitoring, predictive maintenance, image processing and diagnosis. Machine Learning is the key technology for these developments.

  11. HIDDEN MARKOV MODELS WITH COVARIATES FOR ANALYSIS OF DEFECTIVE INDUSTRIAL MACHINE PARTS

    OpenAIRE

    2014-01-01

    Monthly counts of industrial machine part errors are modeled using a two-state Hidden Markov Model (HMM) in order to describe the effect of machine part error correction and the amount of time spent on the error correction on the likelihood of the machine part to be in a “defective” or “non-defective” state. The number of machine parts errors were collected from a thermo plastic injection molding machine in a car bumper auto parts manufacturer in Liberec city, Czech Re...

  12. Towards a Balanced Sustainability Vision for the Coffee Industry

    Directory of Open Access Journals (Sweden)

    Luis F. Samper

    2017-04-01

    Full Text Available As one of the world’s most traded agricultural commodities, coffee constitutes a significant part of the overall economy and a major source of foreign revenue for many developing countries. Coffee also touches a large portion of the world’s population in the South, where it is mainly produced, and in the North, where it is primarily consumed. As a product frequently purchased by a significant share of worldwide consumers on a daily basis in social occasions, the coffee industry has earned a high profile that also attracts the interest of non-governmental organizations, governments, multilateral organizations and development specialists and has been an early adopter of Voluntary Sustainability Standards (VSS. Responding to the trend of increased interest on sustainability, it is therefore not surprising that coffee continues to be at the forefront of sustainability initiatives that transcend into other agricultural industries. Based on literature and authors’ experiences, this article reflects on the VSS evolution and considers a sustainability model that specifically incorporates producers’ local realities and deals with the complex scenario of sustainability challenges in producing regions. Agreeing on a joint sustainability approach with farmers’ effective involvement is necessary so that the industry as a whole (up and downstream value chain actors can legitimately communicate its own sustainability priorities. This top-down/bottom-up approach could also lead to origin-based, actionable and focused sustainability key performance indicators, relevant for producers and consistent with the UN’s Sustainable Development Goals. The initiative also aims to provide a sustainability platform for single origin coffees and Geographical Indications (GIs in accordance with growers’ own realities and regions, providing the credibility that consumers now expect from sustainability initiatives, additional differentiation options for origin

  13. DEVELOPMENT OF SMALL INJECTION MOULDING MACHINE FOR FORMING SMALL PLASTIC ARTICLES FOR SMALL-SCALE INDUSTRIES

    OpenAIRE

    OYETUNJI, A.

    2010-01-01

    Development of small injection moulding machine for forming small plastic articles in small-scale industries was studied. This work which entailed design, construction and test small injection moulding machine that was capable of forming small plastic articles by injecting molten resins into a closed, cooled mould, where it solidifies to give the desired products was developed. The machine was designed and constructed to work as a prototype for producing very small plastic components. Design ...

  14. EVALUATION OF THE MACHINE MODERNITY IN THE MOTOR INDUSTRY

    Directory of Open Access Journals (Sweden)

    Manuela Krystyna Ingaldi

    2014-12-01

    Full Text Available Most manufacturing companies realize its technologies, implemented through concrete machinery parts. They differ in terms of importance, the relevance of their selection and the level of their modernity. The purpose of this article is to analyse the chosen production machine in terms of its modernity. The ABC technology method was chosen do this research. All parts of the machine were divided into three groups: parts of main subassembly A, parts of supportive subassembly B, parts of collateral subassembly C. Then each of these parts was evaluated in the Parker's five-point scale. From the conducted analysis it results that most parts of the research machine were manufactured with more complex technologies, requiring technical skills and knowledge or with unchanging technologies used for years. It means that the research machine is not a modern machine. Perhaps company managers should take a decision on the change of the machine for the newer one. This would allow for improvement of the technical parameters of the products, increase in production efficiency and reduction of the amount of nonconforming products. Therefore, it can be concluded that a properly selected and correctly applied parts of the subassemblies contribute to the improvement in quality of products and the efficiency of the machine.

  15. Industrial production of enzyme-modified wool fibers for machine-washable bed coverings

    NARCIS (Netherlands)

    Lenting, H.B.M.; Broekman, H.; Guebitz, G.M.; Kokol, V.; Shen, J.

    2009-01-01

    Enzyme technology is explored on wool fibers to prevent shrinkage and consolidation behavior during washing of woolen bed coverings using normal household machine conditions. Enzyme modification of wool fibers after two different pretreatments has been realized on industrial scale. Enlarged

  16. Market structure, industrial organisation and technological development: the case of the Japanese electronics-based nc-machine tool industry.

    OpenAIRE

    Watanabe, S

    1983-01-01

    ILO pub-WEP pub. Working paper on the impact of market structure and business organization on technological change in the automatic control machine tool industry in Japan - based on a 1982 sample survey of 40 industrial enterprises, discusses research and development trends, demand, production, subcontracting, competition, etc.; investigates the impact of electronics Innovation on small scale industry, the international division of labour and on developing countries. Bibliography and graphs.

  17. From geospatial observations of ocean currents to causal predictors of spatio-economic activity using computer vision and machine learning

    Science.gov (United States)

    Popescu, Florin; Ayache, Stephane; Escalera, Sergio; Baró Solé, Xavier; Capponi, Cecile; Panciatici, Patrick; Guyon, Isabelle

    2016-04-01

    The big data transformation currently revolutionizing science and industry forges novel possibilities in multi-modal analysis scarcely imaginable only a decade ago. One of the important economic and industrial problems that stand to benefit from the recent expansion of data availability and computational prowess is the prediction of electricity demand and renewable energy generation. Both are correlates of human activity: spatiotemporal energy consumption patterns in society are a factor of both demand (weather dependent) and supply, which determine cost - a relation expected to strengthen along with increasing renewable energy dependence. One of the main drivers of European weather patterns is the activity of the Atlantic Ocean and in particular its dominant Northern Hemisphere current: the Gulf Stream. We choose this particular current as a test case in part due to larger amount of relevant data and scientific literature available for refinement of analysis techniques. This data richness is due not only to its economic importance but also to its size being clearly visible in radar and infrared satellite imagery, which makes it easier to detect using Computer Vision (CV). The power of CV techniques makes basic analysis thus developed scalable to other smaller and less known, but still influential, currents, which are not just curves on a map, but complex, evolving, moving branching trees in 3D projected onto a 2D image. We investigate means of extracting, from several image modalities (including recently available Copernicus radar and earlier Infrared satellites), a parameterized representation of the state of the Gulf Stream and its environment that is useful as feature space representation in a machine learning context, in this case with the EC's H2020-sponsored 'See.4C' project, in the context of which data scientists may find novel predictors of spatiotemporal energy flow. Although automated extractors of Gulf Stream position exist, they differ in methodology

  18. HIDDEN MARKOV MODELS WITH COVARIATES FOR ANALYSIS OF DEFECTIVE INDUSTRIAL MACHINE PARTS

    Directory of Open Access Journals (Sweden)

    Pornpit Sirima

    2014-01-01

    Full Text Available Monthly counts of industrial machine part errors are modeled using a two-state Hidden Markov Model (HMM in order to describe the effect of machine part error correction and the amount of time spent on the error correction on the likelihood of the machine part to be in a “defective” or “non-defective” state. The number of machine parts errors were collected from a thermo plastic injection molding machine in a car bumper auto parts manufacturer in Liberec city, Czech Republic from January 2012 to November 2012. A Bayesian method is used for parameter estimation. The results of this study indicate that the machine part error correction and the amount of time spent on the error correction do not improve the machine part status of the individual part, but there is a very strong month-to-month dependence of the machine part states. Using the Mean Absolute Error (MAE criterion, the performance of the proposed model (MAE = 1.62 and the HMM including machine part error correction only (MAE = 1.68, from our previous study, is not significantly different. However, the proposed model has more advantage in the fact that the machine part state can be explained by both the machine part error correction and the amount of time spent on the error correction.

  19. A Low Cost Vision Based Hybrid Fiducial Mark Tracking Technique for Mobile Industrial Robots

    Directory of Open Access Journals (Sweden)

    Mohammed Y Aalsalem

    2012-07-01

    Full Text Available The field of robotic vision is developing rapidly. Robots can react intelligently and provide assistance to user activities through sentient computing. Since industrial applications pose complex requirements that cannot be handled by humans, an efficient low cost and robust technique is required for the tracking of mobile industrial robots. The existing sensor based techniques for mobile robot tracking are expensive and complex to deploy, configure and maintain. Also some of them demand dedicated and often expensive hardware. This paper presents a low cost vision based technique called “Hybrid Fiducial Mark Tracking” (HFMT technique for tracking mobile industrial robot. HFMT technique requires off-the-shelf hardware (CCD cameras and printable 2-D circular marks used as fiducials for tracking a mobile industrial robot on a pre-defined path. This proposed technique allows the robot to track on a predefined path by using fiducials for the detection of Right and Left turns on the path and White Strip for tracking the path. The HFMT technique is implemented and tested on an indoor mobile robot at our laboratory. Experimental results from robot navigating in real environments have confirmed that our approach is simple and robust and can be adopted in any hostile industrial environment where humans are unable to work.

  20. Machine Learning

    CERN Document Server

    CERN. Geneva

    2017-01-01

    Machine learning, which builds on ideas in computer science, statistics, and optimization, focuses on developing algorithms to identify patterns and regularities in data, and using these learned patterns to make predictions on new observations. Boosted by its industrial and commercial applications, the field of machine learning is quickly evolving and expanding. Recent advances have seen great success in the realms of computer vision, natural language processing, and broadly in data science. Many of these techniques have already been applied in particle physics, for instance for particle identification, detector monitoring, and the optimization of computer resources. Modern machine learning approaches, such as deep learning, are only just beginning to be applied to the analysis of High Energy Physics data to approach more and more complex problems. These classes will review the framework behind machine learning and discuss recent developments in the field.

  1. Vision Alignment System of Solar Cell Screen Printing Machine%太阳能硅片丝印机视觉定位系统

    Institute of Scientific and Technical Information of China (English)

    魏海滨; 朱跃红; 郎鹏; 郑海红; 张素枝

    2012-01-01

    Solar Cell Screen Printing Machine is the key equipment in solar cell production industry. How to improve the precision, quality and efficiency of screen printing is very important, the alignment is one of the key technologies. Introduce the typical application of precision alighnment based on computer vision in the solar cell screen printing, and illustrate the basic components, design principle and hardware selection of vision precision alignment system, give out the motional relationship between CCD optical system and UVWworktable and the alionment orocess.%太阳能硅片丝印机是太阳能电池生产行业中的关键设备,如何提高丝印精度、印刷质量和印刷效率成为研究重点,而对位技术则是其中的关键技术之一。介绍了基于机器视觉的精密对位技术在太阳能硅片丝印机中的典型应用,阐述了视觉精密定位系统的基本组成、设计原理及硬件选型,给出了CCD光学系统与UVW工作平台坐标系之间的各运动关系和对位过程。

  2. Educational Resources for the Machine Tool Industry. Executive Summary.

    Science.gov (United States)

    Texas State Technical Coll. System, Waco.

    This document describes the MASTER (Machine Tool Advanced Skills Educational Resources) program, a geographic partnership of seven of the nation's best 2-year technical and community colleges located in seven states. The project developed and disseminated a national training model for manufacturing processes and new technologies within the…

  3. Technical and economic aspects of electric machine industry development with account of electric power development directions

    Directory of Open Access Journals (Sweden)

    V.V. Shevchenko

    2014-04-01

    Full Text Available A critical assessment of the existing views on the world energy development prospects is an integral part of independent policy elaboration in this field for any state. Consideration of prospective power industry development options is a determinative factor in electric machine-building progress as a generation system production industry.

  4. Tomato grading system using machine vision technology and neuro-fuzzy networks (ANFIS

    Directory of Open Access Journals (Sweden)

    H Izadi

    2016-04-01

    Full Text Available Introduction: The quality of agricultural products is associated with their color, size and health, grading of fruits is regarded as an important step in post-harvest processing. In most cases, manual sorting inspections depends on available manpower, time consuming and their accuracy could not be guaranteed. Machine Vision is known to be a useful tool for external features measurement (e.g. size, shape, color and defects and in recent century, Machine Vision technology has been used for shape sorting. The main purpose of this study was to develop new method for tomato grading and sorting using Neuro-fuzzy system (ANFIS and to compare the accuracies of the ANFIS predicted results with those suggested by a human expert. Materials and Methods: In this study, a total of 300 image of tomatoes (Rev ground was randomly harvested, classified in 3 ripeness stage, 3 sizes and 2 health. The grading and sorting mechanism consisted of a lighting chamber (cloudy sky, lighting source and a digital camera connected to a computer. The images were recorded in a special chamber with an indirect radiation (cloudy sky with four florescent lampson each sides and camera lens was entire to lighting chamber by a hole which was only entranced to outer and covered by a camera lens. Three types of features were extracted from final images; Shap, color and texture. To receive these features, we need to have images both in color and binary format in procedure shown in Figure 1. For the first group; characteristics of the images were analysis that could offer information an surface area (S.A., maximum diameter (Dmax, minimum diameter (Dmin and average diameters. Considering to the importance of the color in acceptance of food quality by consumers, the following classification was conducted to estimate the apparent color of the tomato; 1. Classified as red (red > 90% 2. Classified as red light (red or bold pink 60-90% 3. Classified as pink (red 30-60% 4. Classified as Turning

  5. The Vision of "Industrie 4.0" in the Making-a Case of Future Told, Tamed, and Traded.

    Science.gov (United States)

    Pfeiffer, Sabine

    2017-01-01

    Since industrial trade fair Hannover Messe 2011, the term "Industrie 4.0" has ignited a vision of a new Industrial Revolution and has been inspiring a lively, ongoing debate among the German public about the future of work, and hence society, ever since. The discourse around this vision of the future eventually spread to other countries, with public awareness reaching a temporary peak in 2016 when the World Economic Forum's meeting in Davos was held with the motto "Mastering the Fourth Industrial Revolution." How is it possible for a vision originally established by three German engineers to unfold and bear fruit at a global level in such a short period of time? This article begins with a summary of the key ideas that are discussed under the label Industrie 4.0. The main purpose, based on an in-depth discourse analysis, is to debunk the myth about the origin of this powerful vision and to trace the narrative back to the global economic crisis in 2009 and thus to the real actors, central discourse patterns, and hidden intentions of this vision of a new Industrial Revolution. In conclusion, the discourse analysis reveals that this is not a case of visioneering but one of a future told, tamed, and traded.

  6. The 3. industrial revolution according to Jeremy Rifkin: vision or utopia?; La 3. revolution industrielle selon Jeremy Rifkin: vision ou utopie?

    Energy Technology Data Exchange (ETDEWEB)

    Bacher, P. [Academie des Technologies, 75 - Paris (France)

    2008-11-15

    Is the civilization of hydrogen on its way? This is what Jeremy Rifkin claims, who is announcing the 3. industrial revolution, based on electricity produced in an entirely decentralized manner from renewable energy and stored in the form of hydrogen produced by water electrolysis. This article analyses the three main 'pillars' of this industrial revolution and concludes that it is much more a matter of utopia than a 'vision'. (author)

  7. Color line-scan technology in industrial applications

    Science.gov (United States)

    Lemstrom, Guy F.

    1995-10-01

    Color machine vision opens new possibilities for industrial on-line quality control applications. With color machine vision it's possible to detect different colors and shades, make color separation, spectroscopic applications and at the same time do measurements in the same way as with gray scale technology. These can be geometrical measurements such as dimensions, shape, texture etc. By combining these technologies in a color line scan camera, it brings the machine vision to new dimensions of realizing new applications and new areas in the machine vision business. Quality and process control requirements in the industry get more demanding every day. Color machine vision can be the solution for many simple tasks that haven't been realized with gray scale technology. The lack of detecting or measuring colors has been one reason why machine vision has not been used in quality control as much as it could have been. Color machine vision has shown a growing enthusiasm in the industrial machine vision applications. Potential areas of the industry include food, wood, mining and minerals, printing, paper, glass, plastic, recycling etc. Tasks are from simple measuring to total process and quality control. The color machine vision is not only for measuring colors. It can also be for contrast enhancement, object detection, background removing, structure detection and measuring. Color or spectral separation can be used in many different ways for working out machine vision application than before. It's only a question of how to use the benefits of having two or more data per measured pixel, instead of having only one as in case with traditional gray scale technology. There are plenty of potential applications already today that can be realized with color vision and it's going to give more performance to many traditional gray scale applications in the near future. But the most important feature is that color machine vision offers a new way of working out applications, where

  8. Investigation into the use of smartphone as a machine vision device for engineering metrology and flaw detection, with focus on drilling

    Science.gov (United States)

    Razdan, Vikram; Bateman, Richard

    2015-05-01

    This study investigates the use of a Smartphone and its camera vision capabilities in Engineering metrology and flaw detection, with a view to develop a low cost alternative to Machine vision systems which are out of range for small scale manufacturers. A Smartphone has to provide a similar level of accuracy as Machine Vision devices like Smart cameras. The objective set out was to develop an App on an Android Smartphone, incorporating advanced Computer vision algorithms written in java code. The App could then be used for recording measurements of Twist Drill bits and hole geometry, and analysing the results for accuracy. A detailed literature review was carried out for in-depth study of Machine vision systems and their capabilities, including a comparison between the HTC One X Android Smartphone and the Teledyne Dalsa BOA Smart camera. A review of the existing metrology Apps in the market was also undertaken. In addition, the drilling operation was evaluated to establish key measurement parameters of a twist Drill bit, especially flank wear and diameter. The methodology covers software development of the Android App, including the use of image processing algorithms like Gaussian Blur, Sobel and Canny available from OpenCV software library, as well as designing and developing the experimental set-up for carrying out the measurements. The results obtained from the experimental set-up were analysed for geometry of Twist Drill bits and holes, including diametrical measurements and flaw detection. The results show that Smartphones like the HTC One X have the processing power and the camera capability to carry out metrological tasks, although dimensional accuracy achievable from the Smartphone App is below the level provided by Machine vision devices like Smart cameras. A Smartphone with mechanical attachments, capable of image processing and having a reasonable level of accuracy in dimensional measurement, has the potential to become a handy low-cost Machine vision

  9. A bio-inspired apposition compound eye machine vision sensor system.

    Science.gov (United States)

    Davis, J D; Barrett, S F; Wright, C H G; Wilcox, M

    2009-12-01

    The Wyoming Information, Signal Processing, and Robotics Laboratory is developing a wide variety of bio-inspired vision sensors. We are interested in exploring the vision system of various insects and adapting some of their features toward the development of specialized vision sensors. We do not attempt to supplant traditional digital imaging techniques but rather develop sensor systems tailor made for the application at hand. We envision that many applications may require a hybrid approach using conventional digital imaging techniques enhanced with bio-inspired analogue sensors. In this specific project, we investigated the apposition compound eye and its characteristics commonly found in diurnal insects and certain species of arthropods. We developed and characterized an array of apposition compound eye-type sensors and tested them on an autonomous robotic vehicle. The robot exhibits the ability to follow a pre-defined target and avoid specified obstacles using a simple control algorithm.

  10. A bio-inspired apposition compound eye machine vision sensor system

    Energy Technology Data Exchange (ETDEWEB)

    Davis, J D [Applied Research Laboratories, University of Texas, 10000 Burnet Rd, Austin, TX 78757 (United States); Barrett, S F; Wright, C H G [Electrical and Computer Engineering, University of Wyoming, Dept 3295 1000 E. University Ave, Laramie, WY 82071 (United States); Wilcox, M, E-mail: steveb@uwyo.ed [Department of Biology, United States Air Force Academy, CO 80840 (United States)

    2009-12-15

    The Wyoming Information, Signal Processing, and Robotics Laboratory is developing a wide variety of bio-inspired vision sensors. We are interested in exploring the vision system of various insects and adapting some of their features toward the development of specialized vision sensors. We do not attempt to supplant traditional digital imaging techniques but rather develop sensor systems tailor made for the application at hand. We envision that many applications may require a hybrid approach using conventional digital imaging techniques enhanced with bio-inspired analogue sensors. In this specific project, we investigated the apposition compound eye and its characteristics commonly found in diurnal insects and certain species of arthropods. We developed and characterized an array of apposition compound eye-type sensors and tested them on an autonomous robotic vehicle. The robot exhibits the ability to follow a pre-defined target and avoid specified obstacles using a simple control algorithm.

  11. A proposed model for assessing service quality in small machining and industrial maintenance companies

    Directory of Open Access Journals (Sweden)

    Morvam dos Santos Netto

    2014-11-01

    Full Text Available Machining and industrial maintenance services include repair (corrective maintenance of equipments, activities involving the assembly-disassembly of equipments, fault diagnosis, machining operations, forming operations, welding processes, assembly and test of equipments. This article proposes a model for assessing the quality of services provided by small machining and industrial maintenance companies, since there is a gap in the literature regarding this issue and because the importance of small service companies in socio-economic development of the country. The model is an adaptation of the SERVQUAL instrument and the criteria determining the quality of services are designed according to the service cycle of a typical small machining and industrial maintenance company. In this sense, the Moments of Truth have been considered in the preparation of two separate questionnaires. The first questionnaire contains 24 statements that reflect the expectations of customers, and the second one contains 24 statements that measure perceptions of service performance. An additional item was included in each questionnaire to assess, respectively, the overall expectation about the services and the overall company performance. Therefore, it is a model that considers the interfaces of the client/supplier relationship, the peculiarities of the machining and industrial maintenance service sector and the company size.

  12. Measuring the modulation-transfer function of radiation-tolerant machine-vision system using the sum of harmonic components of different frequency

    Science.gov (United States)

    Perezyabov, Oleg A.; Maltseva, Nadezhda K.; Ilinski, Aleksandr V.

    2017-05-01

    There are a number of robotic systems that are used for nuclear power plant maintenance and it is important to ensure the necessary safety level. The machine-vision systems are applied for this purpose. There are special requirements for the image quality of these systems. To estimate the resolution of a video-system one should determine the impact of the system on the special test pattern. In this paper we describe the procedure of determining the number of the modulation transfer function values of the radiation-tolerant machine-vision systems using the test pattern, containing the sum of the harmonic functions of different frequency.

  13. THE GOVERNMENT AND BUSINESS COLLABORATION IN DESIGNING INDUSTRIAL POLICY IN THE RUSSIAN RAILWAY MACHINE-BUILDING

    Directory of Open Access Journals (Sweden)

    Diana Pereversieva

    2013-01-01

    Full Text Available The article is devoted to improvement of the mechanism of the government and business collaboration in designing industrial policy. Materials and data of the passenger railway machine-building industry were basis for the analysis. The article draws a lot of attention to regional aspects of the issue. Proposals for the improvement of political mechanisms of the coordination of interests were worked out based on the business proposals and positions of government bodies.

  14. Association Rule-based Predictive Model for Machine Failure in Industrial Internet of Things

    Science.gov (United States)

    Kwon, Jung-Hyok; Lee, Sol-Bee; Park, Jaehoon; Kim, Eui-Jik

    2017-09-01

    This paper proposes an association rule-based predictive model for machine failure in industrial Internet of things (IIoT), which can accurately predict the machine failure in real manufacturing environment by investigating the relationship between the cause and type of machine failure. To develop the predictive model, we consider three major steps: 1) binarization, 2) rule creation, 3) visualization. The binarization step translates item values in a dataset into one or zero, then the rule creation step creates association rules as IF-THEN structures using the Lattice model and Apriori algorithm. Finally, the created rules are visualized in various ways for users’ understanding. An experimental implementation was conducted using R Studio version 3.3.2. The results show that the proposed predictive model realistically predicts machine failure based on association rules.

  15. Forest machine contractors in Swedish industrial forestry: Significance and conditions during 1986-1993. Doctoral thesis

    Energy Technology Data Exchange (ETDEWEB)

    Liden, E.

    1995-07-01

    The aim of this review was to come to a general understanding of the phenomenon of contracting in forestry as an occupation and a life-style. This has been accomplished by studies on machine ownership, working conditions, and attrition from forestry, using quantitative methods in combination with qualitative ones, during the period 1986 to 1993. The studies pertained to industrial forestry in Sweden. In 1992/93 70% of all machines used in industrial forestry in Sweden were owned by contractors. Together these machines harvested 59% of the total quantity during the 1992/93 harvesting season. Three categories of contractors were recognized; the single contractor, the partner contractor, and the contractor with employees. It was concluded that being a contractor is more a life-style than an occupation. Very often the whole family is involved in the business. The contractors` willingness to work hard and to do a good job is an asset for forestry.

  16. Industrial production of enzyme-modified wool fibers for machine-washable bed coverings

    NARCIS (Netherlands)

    Lenting, H.B.M.; Broekman, H.; Guebitz, G.M.; Kokol, V.; Shen, J.

    2009-01-01

    Enzyme technology is explored on wool fibers to prevent shrinkage and consolidation behavior during washing of woolen bed coverings using normal household machine conditions. Enzyme modification of wool fibers after two different pretreatments has been realized on industrial scale. Enlarged proteoly

  17. Industrial production of enzyme-modified wool fibers for machine-washable bed coverings

    NARCIS (Netherlands)

    Lenting, H.B.M.; Broekman, H.; Guebitz, G.M.; Kokol, V.; Shen, J.

    2009-01-01

    Enzyme technology is explored on wool fibers to prevent shrinkage and consolidation behavior during washing of woolen bed coverings using normal household machine conditions. Enzyme modification of wool fibers after two different pretreatments has been realized on industrial scale. Enlarged proteoly

  18. From scientific instrument to industrial machine : Coping with architectural stress in embedded systems

    NARCIS (Netherlands)

    Doornbos, R.; Loo, S. van

    2012-01-01

    Architectural stress is the inability of a system design to respond to new market demands. It is an important yet often concealed issue in high tech systems. In From scientific instrument to industrial machine, we look at the phenomenon of architectural stress in embedded systems in the context of a

  19. Infrared machine vision system for the automatic detection of olive fruit quality.

    Science.gov (United States)

    Guzmán, Elena; Baeten, Vincent; Pierna, Juan Antonio Fernández; García-Mesa, José A

    2013-11-15

    External quality is an important factor in the extraction of olive oil and the marketing of olive fruits. The appearance and presence of external damage are factors that influence the quality of the oil extracted and the perception of consumers, determining the level of acceptance prior to purchase in the case of table olives. The aim of this paper is to report on artificial vision techniques developed for the online estimation of olive quality and to assess the effectiveness of these techniques in evaluating quality based on detecting external defects. This method of classifying olives according to the presence of defects is based on an infrared (IR) vision system. Images of defects were acquired using a digital monochrome camera with band-pass filters on near-infrared (NIR). The original images were processed using segmentation algorithms, edge detection and pixel value intensity to classify the whole fruit. The detection of the defect involved a pixel classification procedure based on nonparametric models of the healthy and defective areas of olives. Classification tests were performed on olives to assess the effectiveness of the proposed method. This research showed that the IR vision system is a useful technology for the automatic assessment of olives that has the potential for use in offline inspection and for online sorting for defects and the presence of surface damage, easily distinguishing those that do not meet minimum quality requirements. Crown Copyright © 2013 Published by Elsevier B.V. All rights reserved.

  20. Provision of Controlled Motion Accuracy of Industrial Robots and Multiaxis Machines by the Method of Integrated Deviations Correction

    Science.gov (United States)

    Krakhmalev, O. N.; Petreshin, D. I.; Fedonin, O. N.

    2016-04-01

    There is a developed method of correction of the integrated motion deviations of industrial robots and multiaxis machines, which are caused by the primary geometrical deviations of their segments. This method can be used to develop a control system providing the motion correction for industrial robots and multiaxis machines.

  1. From scientific instrument to industrial machine coping with architectural stress in embedded systems

    CERN Document Server

    Doornbos, Richard

    2012-01-01

    Architectural stress is the inability of a system design to respond to new market demands. It is an important yet often concealed issue in high tech systems. In From scientific instrument to industrial machine, we look at the phenomenon of architectural stress in embedded systems in the context of a transmission electron microscope system built by FEI Company. Traditionally, transmission electron microscopes are manually operated scientific instruments, but they also have enormous potential for use in industrial applications. However, this new market has quite different characteristics. There are strong demands for cost-effective analysis, accurate and precise measurements, and ease-of-use. These demands can be translated into new system qualities, e.g. reliability, predictability and high throughput, as well as new functions, e.g. automation of electron microscopic analyses, automated focusing and positioning functions. From scientific instrument to industrial machine takes a pragmatic approach to the proble...

  2. Machine vision process monitoring on a poultry processing kill line: results from an implementation

    Science.gov (United States)

    Usher, Colin; Britton, Dougl; Daley, Wayne; Stewart, John

    2005-11-01

    Researchers at the Georgia Tech Research Institute designed a vision inspection system for poultry kill line sorting with the potential for process control at various points throughout a processing facility. This system has been successfully operating in a plant for over two and a half years and has been shown to provide multiple benefits. With the introduction of HACCP-Based Inspection Models (HIMP), the opportunity for automated inspection systems to emerge as viable alternatives to human screening is promising. As more plants move to HIMP, these systems have the great potential for augmenting a processing facilities visual inspection process. This will help to maintain a more consistent and potentially higher throughput while helping the plant remain within the HIMP performance standards. In recent years, several vision systems have been designed to analyze the exterior of a chicken and are capable of identifying Food Safety 1 (FS1) type defects under HIMP regulatory specifications. This means that a reliable vision system can be used in a processing facility as a carcass sorter to automatically detect and divert product that is not suitable for further processing. This improves the evisceration line efficiency by creating a smaller set of features that human screeners are required to identify. This can reduce the required number of screeners or allow for faster processing line speeds. In addition to identifying FS1 category defects, the Georgia Tech vision system can also identify multiple "Other Consumer Protection" (OCP) category defects such as skin tears, bruises, broken wings, and cadavers. Monitoring this data in an almost real-time system allows the processing facility to address anomalies as soon as they occur. The Georgia Tech vision system can record minute-by-minute averages of the following defects: Septicemia Toxemia, cadaver, over-scald, bruises, skin tears, and broken wings. In addition to these defects, the system also records the length and

  3. Remote programming of network robots within the UJI Industrial Robotics Telelaboratory: FPGA vision and SNRP network protocol

    OpenAIRE

    Marin, Raul; León, Germán; Wirz, Raul; Sales, Jorge; Claver, José M.; Sanz, Pedro J.; Fernández Ruzafa, José

    2009-01-01

    This paper presents the UJI Industrial Robotics Telelaboratory, which lets Ph.D. and Master’s degree students perform robotics and computer vision tele-experiments. By using this system, students are able to program experiments remotely via the Web, in order to combine the use of a field-programmable gate array (FPGA) to provide real-time vision processing, a conveyor belt, and a Motoman industrial manipulator. This paper introduces the novel SNRP protocol (i.e., Simple Network Robot Proto...

  4. An Automated Recognition of Fake or Destroyed Indian Currency Notes in Machine Vision

    Directory of Open Access Journals (Sweden)

    Sanjana

    2012-04-01

    Full Text Available Almost every country in the world face the problem of counterfeitcurrency notes, but in India the problem is acute as the country ishit hard by this evil practice. Fake notes in India in denominationsof Rs.100, 500 and 1000 are being flooded into the system. Inorder to deal with such type of problems, an automated recognitionof currency notes in introduced by with the help of featureextraction, classification based in SVM, Neural Nets, and heuristicapproach. This technique is also subjected with the computervision where all processing with the image is done by machine.The machine is fitted with a CDD camera which will scan theimage of the currency note considering the dimensions of thebanknote and software will process the image segments with thehelp of SVM and character recognition methods. ANN is alsointroduced in this paper to train the data and classify the segmentsusing its datasets. To implement this design we are dealing withMATLAB Tool.

  5. DEVELOPMENT OF SMALL INJECTION MOULDING MACHINE FOR FORMING SMALL PLASTIC ARTICLES FOR SMALL-SCALE INDUSTRIES

    Directory of Open Access Journals (Sweden)

    OYETUNJI, A.

    2010-03-01

    Full Text Available Development of small injection moulding machine for forming small plastic articles in small-scale industries was studied. This work which entailed design, construction and test small injection moulding machine that was capable of forming small plastic articles by injecting molten resins into a closed, cooled mould, where it solidifies to give the desired products was developed. The machine was designed and constructed to work as a prototype for producing very small plastic components. Design concept, operation, and assembly of components parts were made. Also, working drawings and materials selection were made based on calculations of the diameter of injection plunger, number of teeth required for the plunger rack and spur gear, the angular velocity, number of revolution, torque and power obtained from the electric motor selected and the leverage on the handle of the machine. The machine parts/components were then assembled in line with the designed made, thereafter the constructed machine was tested using high density polyethylene and master batch. The results obtained from the test were satisfactory.

  6. A Planar-Dimensions Machine Vision Measurement Method Based on Lens Distortion Correction

    Directory of Open Access Journals (Sweden)

    Qiucheng Sun

    2013-01-01

    Full Text Available Lens distortion practically presents in a real optical imaging system causing nonuniform geometric distortion in the images and gives rise to additional errors in the vision measurement. In this paper, a planar-dimensions vision measurement method is proposed by improving camera calibration, in which the lens distortion is corrected on the pixel plane of image. The method can be divided into three steps: firstly, the feature points, only in the small central region of the image, are used to get a more accurate perspective projection model; secondly, rather than defining a uniform model, the smoothing spline function is used to describe the lens distortion in the measurement region of image, and two correction functions can be obtained by fitting two deviation surfaces; finally, a measurement method for planar dimensions is proposed, in which accurate magnification factor of imaging system can be obtained by using the correction functions. The effectiveness of the method is demonstrated by applying the proposed method to the test of measuring shaft diameter. Experimental data prove that the accurate planar-dimensions measurements can be performed using the proposed method even if images are deformed by lens distortion.

  7. Thread Recognition System Based on Machine Vision Technology%基于机器视觉技术的螺纹识别系统

    Institute of Scientific and Technical Information of China (English)

    景敏

    2013-01-01

    Thread angle identification is a common method to distinguish thread types. Traditional detection methods have many disadvantages such as low efficiency and high cost and gauges are easy to be abraded. The needs of high efficient development of modern industry are not met any more. CCD is used to obtain the basic im-age of thread. And the thread contour is analyzed through image smoothness, edge detection, binary image pro-duction and contour hunting. The thread angle parameters are measured and identified. The measurement meth-ods of thread angle parameter using machine vision are discussed. And a thread recognition system mainly based on the machine vision recognition technology and integrated visual sensing with image processing system is de-signed. The feasibility and correctness of the method is proved from theory and practice.%螺纹牙型角识别是区分螺纹种类的常用手段,传统检测手段效率低、量规易磨损、成本高,已不能满足现代工业高效发展的需求。利用CCD获取螺纹基本图像,并通过图像的平滑、边缘检测、二值化处理及轮廓提取,对螺纹轮廓进行分析,从中测量出螺纹的牙型角参数并进行识别。探讨了利用机器视觉对螺纹牙型角参数进行测量的方法,并设计出一套以机器视觉识别技术为核心的视觉传感和图像处理系统为一体的螺纹识别系统。从理论和实践上证实了该方法的可行性和准确性。

  8. Theory research of seam recognition and welding torch pose control based on machine vision

    Science.gov (United States)

    Long, Qiang; Zhai, Peng; Liu, Miao; He, Kai; Wang, Chunyang

    2017-03-01

    At present, the automation requirement of the welding become higher, so a method of the welding information extraction by vision sensor is proposed in this paper, and the simulation with the MATLAB has been conducted. Besides, in order to improve the quality of robot automatic welding, an information retrieval method for welding torch pose control by visual sensor is attempted. Considering the demands of welding technology and engineering habits, the relative coordinate systems and variables are strictly defined, and established the mathematical model of the welding pose, and verified its feasibility by using the MATLAB simulation in the paper, these works lay a foundation for the development of welding off-line programming system with high precision and quality.

  9. 机器视觉在除草机器人中的应用%Application of Machine Vision in Weeding Robot

    Institute of Scientific and Technical Information of China (English)

    李谦; 蔡晓华

    2014-01-01

    随着农业自动化技术和农业机器人技术的发展,许多国家和企业开始致力于机器视觉除草机器人的试验与研究。为此,在介绍机器视觉技术系统的基础上,结合除草机器人苗草识别的试验,讨论了机器视觉系统在除草机器人中的应用,详细分析了基于机器视觉的苗草识别系统,并优化其系统的硬件、软件结构、功能以及原理等。%With the development of agricultural automation technology and robotics ,many countries and enterprises begin to dedicated to the experimental research of machine vision weeding robot .On the basis of machine vision technology sys-tem introduced in this paper ,combine with the Identification of the Blade of grass test ,th application of machine vision system in the weeding robot was discussed .and analyzed the recognition system of weeding grass based on machine vi-sion.And optimize the structure of hardware and software of the system .Function and principle , etc.

  10. Implementation of Computer Vision Based Industrial Fire Safety Automation by Using Neuro-Fuzzy Algorithms

    Directory of Open Access Journals (Sweden)

    Manjunatha K.C.

    2015-03-01

    Full Text Available A computer vision-based automated fire detection and suppression system for manufacturing industries is presented in this paper. Automated fire suppression system plays a very significant role in Onsite Emergency System (OES as it can prevent accidents and losses to the industry. A rule based generic collective model for fire pixel classification is proposed for a single camera with multiple fire suppression chemical control valves. Neuro-Fuzzy algorithm is used to identify the exact location of fire pixels in the image frame. Again the fuzzy logic is proposed to identify the valve to be controlled based on the area of the fire and intensity values of the fire pixels. The fuzzy output is given to supervisory control and data acquisition (SCADA system to generate suitable analog values for the control valve operation based on fire characteristics. Results with both fire identification and suppression systems have been presented. The proposed method achieves up to 99% of accuracy in fire detection and automated suppression.

  11. Shared vision, shared vulnerability: A content analysis of corporate social responsibility information on tobacco industry websites.

    Science.gov (United States)

    McDaniel, Patricia A; Cadman, Brie; Malone, Ruth E

    2016-08-01

    Tobacco companies rely on corporate social responsibility (CSR) initiatives to improve their public image and advance their political objectives, which include thwarting or undermining tobacco control policies. For these reasons, implementation guidelines for the World Health Organization's Framework Convention on Tobacco Control (FCTC) recommend curtailing or prohibiting tobacco industry CSR. To understand how and where major tobacco companies focus their CSR resources, we explored CSR-related content on 4 US and 4 multinational tobacco company websites in February 2014. The websites described a range of CSR-related activities, many common across all companies, and no programs were unique to a particular company. The websites mentioned CSR activities in 58 countries, representing nearly every region of the world. Tobacco companies appear to have a shared vision about what constitutes CSR, due perhaps to shared vulnerabilities. Most countries that host tobacco company CSR programs are parties to the FCTC, highlighting the need for full implementation of the treaty, and for funding to monitor CSR activity, replace industry philanthropy, and enforce existing bans. Copyright © 2016 Elsevier Inc. All rights reserved.

  12. Machine-related injuries in the US mining industry and priorities for safety research.

    Science.gov (United States)

    Ruff, Todd; Coleman, Patrick; Martini, Laura

    2011-03-01

    Researchers at the National Institute for Occupational Safety and Health studied mining accidents that involved a worker entangled in, struck by, or in contact with machinery or equipment in motion. The motivation for this study came from the large number of severe accidents, i.e. accidents resulting in a fatality or permanent disability, that are occurring despite available interventions. Accident descriptions were taken from an accident database maintained by the United States Department of Labor, Mine Safety and Health Administration, and 562 accidents that occurred during 2000-2007 fit the search criteria. Machine-related accidents accounted for 41% of all severe accidents in the mining industry during this period. Machinery most often involved in these accidents included conveyors, rock bolting machines, milling machines and haulage equipment such as trucks and loaders. The most common activities associated with these accidents were operation of the machine and maintenance and repair. The current methods to safeguard workers near machinery include mechanical guarding around moving components, lockout/tagout of machine power during maintenance and backup alarms for mobile equipment. To decrease accidents further, researchers recommend additional efforts in the development of new control technologies, training materials and dissemination of information on best practices.

  13. Industrial production of enzyme-modified wool fibers for machine-washable bed coverings.

    Science.gov (United States)

    Lenting, Herman B M; Broekman, Henk; Guebitz, Georg M; Kokol, Vanja; Shen, Jinsong

    2009-10-01

    Enzyme technology is explored on wool fibers to prevent shrinkage and consolidation behavior during washing of woolen bed coverings using normal household machine conditions. Enzyme modification of wool fibers after two different pretreatments has been realized on industrial scale. Enlarged proteolytic enzyme by chemical modification was applied successfully to prevent substantial fiber strength loss. Felt-ball analysis of the fibers as obtained from this industrial process showed substantial improvement in felting resistance. Further processing of these enzyme-modified fibers and finally integration in bed covering quilts have been executed successfully on industrial production lines. The observed fiber losses during processing were in the range of 4.5-6% which is comparable with that of nonmodified fibers. The machine-washability of these produced bed covering quilts was tested in a household washing machine using both wool and normal wash programs applied at different temperatures. It appeared that, contrary to the good washing results in terms of shrinkage and consolidation resistance using the wool program at moderate temperatures, this resistance is marginal when washed with the normal washing program with higher mechanical agitation level or with the wool program at elevated temperature. This result was different from that obtained with woolen fabrics and explained by the less-structured organisation of fibers within a fleece.

  14. A new optical flat surface measurement method based on machine vision and deflectometry

    Science.gov (United States)

    Kewei, E.; Li, Dahai; Yang, Lijie; Guo, Guangrao; Li, Mengyang; Wang, Xuemin; Zhang, Tao; Xiong, Zhao

    2016-10-01

    Phase Measuring Deflectometry(PMD) is a non-contact, high dynamic-range and full-field metrology which becomes a serious competitor to interferometry. However, the accuracy of deflectometry metrology is strongly influenced by the level of the calibrations. Our paper presents a calibration-based PMD method to test optical flat surface with a high accuracy. In our method, a pin-hole camera was set next to the LCD screen which is used to project sinusoidal fringes to the test flat. And the test flat was placed parallel to the direction of the LCD screen, which makes the geometry calibration process are simplified. The photogrammetric methods used in computer vision science was used to calibrate the pin-hole camera by using a checker pattern shown on another LCD display at six different orientations, the intrinsic parameters can be obtained by processing the obtained image of checker patterns. Further, by making the last orientation of checker pattern is aligned at the same position as the test optical flat, the algorithms used in this paper can obtain the mapping relationship between the CCD pixels and the subaperture coordinates on the test optical flat. We test a optical flat with a size of 50mm in diameter using our setup and algorithm. Our experimental results of optical flat figure from low to high order aberrations show a good agreement with that from the Fizeau interferometer.

  15. On the Use of Machine Vision Techniques to Detect Human Settlements in Satellite Images

    Energy Technology Data Exchange (ETDEWEB)

    Kamath, C; Sengupta, S K; Poland, D; Futterman, J A H

    2003-01-10

    The automated production of maps of human settlement from recent satellite images is essential to studies of urbanization, population movement, and the like. The spectral and spatial resolution of such imagery is often high enough to successfully apply computer vision techniques. However, vast amounts of data have to be processed quickly. In this paper, we propose an approach that processes the data in several different stages. At each stage, using features appropriate to that stage, we identify the portion of the data likely to contain information relevant to the identification of human settlements. This data is used as input to the next stage of processing. Since the size of the data has reduced, we can now use more complex features in this next stage. These features can be more representative of human settlements, and also more time consuming to extract from the image data. Such a hierarchical approach enables us to process large amounts of data in a reasonable time, while maintaining the accuracy of human settlement identification. We illustrate our multi-stage approach using IKONOS 4-band and panchromatic images, and compare it with the straight-forward processing of the entire image.

  16. The Bottle of Beverage Label Detection Device Based on Machine Vision%基于机器视觉的饮料瓶标签检测设备

    Institute of Scientific and Technical Information of China (English)

    张树君; 辛莹莹; 陈大千

    2014-01-01

    In the packaging testing industry, consumers pay attention to the quality of the products.How to realize the bottles and efficient full label detection is the important problems facing with the beverage industry. Basing on the above problem, The company developed to test the beverage bottle label of special equipment, the control system by TM258LD42DT,the main characteristic is to be able to elaborate testing (for example the tag of beverage bottle high or low, the tag such as crease, labels), and the equipment of detection have the high efficiency (its detection precision can be achieved 4 mm × 4 mm). This machine has the following functions, for example, the machine-vision detection for tag,the historical data display,the abnormal situation alarm and taking out of the unqualified bottle. And these functions used in the high-speed automatic production line , replace the artificial detection, improve the quality of the testing efficiency and testing,provide the basis for developing the more superior performance model.%在包装检测行业,产品的质量引起了广大消费者的关注。如何实现饮料瓶高效的全标签检测是饮料行业面临的重要问题。基于上述问题,研发了对饮料瓶标签进行检测的专用设备,其控制系统采用的是TM258LD42DT,主要特点是能够精细的检测缺陷(如饮料瓶上标签的高低、标签的破损、标签的折皱等现象),而且设备的检测效率高(其检测精度可达到4 mm×4 mm)。它是集机器视觉的标签检测、历史数据显示、异常情况报警和不合格瓶子的剔除等功能为一体,运用在高速自动化生产线上,代替了人工检测,提高了检测的效率和检测的质量,为开发性能更优越的机型提供基础。

  17. 基于机器视觉的电子器件在线检测分选系统%Design of Online Detecting and Sorting System for Electronic Devices Based on Machine Vision

    Institute of Scientific and Technical Information of China (English)

    李啸宇

    2011-01-01

    针对一种声表面波滤波电子器件,设计了基于机器视觉的电子器件在线检测分选系统,详细论述了机器视觉系统的硬件组成和工作原理.在搭建系统硬件平台后,采用Qt应用程序框架,结合OpenCV开发了一套电子器件在线检测分选系统软件.经过大量实验和长时间实际生产运行表明,该系统检测速度快、识别准确率高、成本预算低,完全满足现代工业在线检测的需要.%In order to design a kind of electronic devices of surface acoustic wave filter, it describes a online detecting and sorting system based on machine vision, shows the detail about the hardware components and operating principle of the machine vision system. Based on hardware platform of the system, it develops the system software with Qt application framework and OpenCV library. Lots of experiments and a long period of running show that the system costs low and sorts devices with high detection speed and identification rate, the whole system is able to fully meet the needs of modern industrial online detection.

  18. Computer vision and machine learning for robust phenotyping in genome-wide studies

    Science.gov (United States)

    Zhang, Jiaoping; Naik, Hsiang Sing; Assefa, Teshale; Sarkar, Soumik; Reddy, R. V. Chowda; Singh, Arti; Ganapathysubramanian, Baskar; Singh, Asheesh K.

    2017-01-01

    Traditional evaluation of crop biotic and abiotic stresses are time-consuming and labor-intensive limiting the ability to dissect the genetic basis of quantitative traits. A machine learning (ML)-enabled image-phenotyping pipeline for the genetic studies of abiotic stress iron deficiency chlorosis (IDC) of soybean is reported. IDC classification and severity for an association panel of 461 diverse plant-introduction accessions was evaluated using an end-to-end phenotyping workflow. The workflow consisted of a multi-stage procedure including: (1) optimized protocols for consistent image capture across plant canopies, (2) canopy identification and registration from cluttered backgrounds, (3) extraction of domain expert informed features from the processed images to accurately represent IDC expression, and (4) supervised ML-based classifiers that linked the automatically extracted features with expert-rating equivalent IDC scores. ML-generated phenotypic data were subsequently utilized for the genome-wide association study and genomic prediction. The results illustrate the reliability and advantage of ML-enabled image-phenotyping pipeline by identifying previously reported locus and a novel locus harboring a gene homolog involved in iron acquisition. This study demonstrates a promising path for integrating the phenotyping pipeline into genomic prediction, and provides a systematic framework enabling robust and quicker phenotyping through ground-based systems. PMID:28272456

  19. Computer vision and machine learning for robust phenotyping in genome-wide studies.

    Science.gov (United States)

    Zhang, Jiaoping; Naik, Hsiang Sing; Assefa, Teshale; Sarkar, Soumik; Reddy, R V Chowda; Singh, Arti; Ganapathysubramanian, Baskar; Singh, Asheesh K

    2017-03-08

    Traditional evaluation of crop biotic and abiotic stresses are time-consuming and labor-intensive limiting the ability to dissect the genetic basis of quantitative traits. A machine learning (ML)-enabled image-phenotyping pipeline for the genetic studies of abiotic stress iron deficiency chlorosis (IDC) of soybean is reported. IDC classification and severity for an association panel of 461 diverse plant-introduction accessions was evaluated using an end-to-end phenotyping workflow. The workflow consisted of a multi-stage procedure including: (1) optimized protocols for consistent image capture across plant canopies, (2) canopy identification and registration from cluttered backgrounds, (3) extraction of domain expert informed features from the processed images to accurately represent IDC expression, and (4) supervised ML-based classifiers that linked the automatically extracted features with expert-rating equivalent IDC scores. ML-generated phenotypic data were subsequently utilized for the genome-wide association study and genomic prediction. The results illustrate the reliability and advantage of ML-enabled image-phenotyping pipeline by identifying previously reported locus and a novel locus harboring a gene homolog involved in iron acquisition. This study demonstrates a promising path for integrating the phenotyping pipeline into genomic prediction, and provides a systematic framework enabling robust and quicker phenotyping through ground-based systems.

  20. DEVELOPMENT OF A PROXIMAL MACHINE VISION SYSTEM FOR OFF-SEASON WEED MAPPING IN BROADACRE NO-TILLAGE FALLOWS

    Directory of Open Access Journals (Sweden)

    H. Liu

    2013-01-01

    Full Text Available Weeds are among the most significant and costly environmental threats in Australian agriculture. Weeds compete with crop plants for moisture, nutrients and sunlight and can have a detrimental impact on crop yields and quality if uncontrolled. The distribution, size, density and species of the weeds are often heterogeneous in the cropping land. Instead of uniformly spray the same type of herbicide to the whole farm land, selective spray can reduce the herbicide usage therefore can reduce the serious problems of herbicide resistance, soil damage and food safety. This study describes a weed mapping method which could be used for broadacre no-tillage fallow weed management. The weed maps have the potential to be used as powerful herbicide prescription maps for spot spray. The weed mapping is realized by the machine vision technologies which including image acquisition, image stitching and photomosaic processing. The sampling points are continuous and the interpolation methods are used at the minimum levels. The experiment result shows that this weed mapping method can map weed under limited conditions.

  1. 机器视觉电动缝纫机关键技术研究%A Study on Key Technologies of Electric Sewing Machine Based on Machine Vision

    Institute of Scientific and Technical Information of China (English)

    崔群; 白顺科

    2014-01-01

    This article introduces the machine vision electric sewing machine,which is an intelligent electric sewing machine based on machine vision and numerical control tool. This machine can recognize and localize all of the sewing pieces of cloth on working table through the image sensors,can grab the sewing pieces of cloth by folding arm manipulator and can complete the accurate and reliable feeding work. So,the form clamp would be removed,and the manual work could be reduced.%研究了一种基于机器视觉和数控技术的工业智能缝纫设备的关键技术。该设备通过图像传感器对工作台上摆放的缝片进行识别与定位,通过送料机械手实现缝片的抓取并实现精确、快速、可靠地缝片的送料,以抛弃目前电动缝纫机的模板夹具,并实现减少操作工干预。

  2. Michelson interferometer experiment based on machine vision%基于 LabVIEW机器视觉的迈克耳孙干涉仪实验

    Institute of Scientific and Technical Information of China (English)

    王建中; 黄林; 唐一文

    2014-01-01

    基于机器视觉设计了迈克耳孙干涉仪实验,采用机器视觉技术替代人眼对目标(干涉圆环)进行分析与测量,可有效避免因视觉疲劳而造成的测量错误。%Based on the machine vision ,the Michelson interferometer was put forward to consider-ably reducing the measurement errors due to visual fatigue in experimental analysis and measure-ments .The interference ring in Michelson interferometer was measured via the machine vision tech-nology ,without observing by naked eyes .

  3. Additive Manufacturing by selective laser melting the realizer desktop machine and its application for the dental industry

    Science.gov (United States)

    Gebhardt, Andreas; Schmidt, Frank-Michael; Hötter, Jan-Steffen; Sokalla, Wolfgang; Sokalla, Patrick

    Additive Manufacturing of metal parts by Selective Laser Melting has become a powerful tool for the direct manufacturing of complex parts mainly for the aerospace and medical industry. With the introduction of its desktop machine, Realizer targeted the dental market. The contribution describes the special features of the machine, discusses details of the process and shows manufacturing results focused on metal dental devices.

  4. Machine-vision-based bar code scanning for long-range applications

    Science.gov (United States)

    Banta, Larry E.; Pertl, Franz A.; Rosenecker, Charles; Rosenberry-Friend, Kimberly A.

    1998-10-01

    Bar code labeling of products has become almost universal in most industries. However, in the steel industry, problems with high temperatures, harsh physical environments and the large sizes of the products and material handling equipment have slowed implementation of bar code based systems in the hot end of the mill. Typical laser-based bar code scanners have maximum scan distances of only 15 feet or so. Longer distance models have been developed which require the use of retro reflective paper labels, but the labels must be very large, are expensive, and cannot stand the heat and physical abuse of the steel mill environment. Furthermore, it is often difficult to accurately point a hand held scanner at targets in bright sunlight or at long distances. An automated product tag reading system based on CCD cameras and computer image processing has been developed by West Virginia University, and demonstrated at the Weirton Steel Corporation. The system performs both the pointing and reading functions. A video camera is mounted on a pan/tilt head, and connected to a personal computer through a frame grabber board. The computer analyzes the images, and can identify product ID tags in a wide-angle scene. It controls the camera to point at each tag and zoom for a closeup picture. The closeups are analyzed and the program need both a barcode and the corresponding alphanumeric code on the tag. This paper describes the camera pointing and bar-code reading functions of the algorithm. A companion paper describes the OCR functions.

  5. Innovative Control of Noise and Vibration of Industrial Equipments and Machines

    Directory of Open Access Journals (Sweden)

    Owhor, Sampson Chisa,

    2015-05-01

    Full Text Available Noise and Vibration of industrial equipment is the grave factor influencing its production state, working conditions of staff and job safety. In course of technology development the more potent machines are used, it is quite often accompanied by an increase of vibration and noise level. This is experienced by equipment as it is transmitted to building structures, environment and through staffs. The system of equation advocated in this research work has been permitted to evaluate reduction of machine vibrations caused by unbalance movement of its members, thereby transmitting it onto the floor and the environment. A noise problem generally consists of three inter-related elements- the source, the receiver and the transmission path. This transmission path is usually the atmosphere through which the sound is propagated, but can include structural materials of any building containing the receiver. The development of innovative noise control treatments provides opportunities for applying basic physics and engineering procedures.

  6. Some trends in man-machine interface design for industrial process plants

    DEFF Research Database (Denmark)

    Rasmussen, Jens

    1980-01-01

    The demands for an efficient and reliable man-machine inter-face in industrial process plant are increasing due to the steadily growing size and complexity of installations. At the same time, computerized technology offers the possibility of powerful and effective solutions to designers....... In the paper, problems related to interface design, operator training and human reliability are discussed in the light of this technological development, and an integrated approach to system design based on a consistent model or framework describing the man-machine interaction is advocated.The work presented...... is part of a Scandinavian research project sponsored by the Board of Nordic Ministers, for the study of control room design and human reliability in nuclear power plants....

  7. Research on color difference detection algorithm based on machine vision%基于机器视觉的色差检测算法

    Institute of Scientific and Technical Information of China (English)

    范鹏飞; 孙俊

    2016-01-01

    Algorithm for color difference detection based on machine vision is studied to solve the problem of color difference detection in metal printing. By printing color mark in metal blank area,capture color mark areas on metal printing products using industrial CCD cameras,digital image processing technique is applied to extract color. Use color difference detection algorithm based on HSV color space and color difference detection algorithm based on CIELAB color space,analyze color difference detection results in two kinds of color space,using the method combining the two kinds of color space detection algorithms,implement rapid and effective detection,and at the same time,it can ensure accuracy of detection results.%针对金属印刷质量中的色差检测问题,采用机器视觉的技术对色差检测算法进行了研究。通过在金属印刷品的留白区域印刷色标,使用工业CCD相机采集金属印刷产品上的色标区域,使用数字图像处理技术提取色标。使用了基于HSV颜色空间的色差检测算法和基于CIELAB颜色空间的色差检测算法,分析了两种颜色空间下色差检测的实验结果,采用两种颜色空间检测算法相结合的方法,实现对色差合理有效的快速检测,同时能保证检测结果的准确性。

  8. Industrial femtosecond lasers for machining of heat-sensitive polymers (Conference Presentation)

    Science.gov (United States)

    Hendricks, Frank; Bernard, Benjamin; Matylitsky, Victor V.

    2017-03-01

    Heat-sensitive materials, such as polymers, are used increasingly in various industrial sectors such as medical device manufacturing and organic electronics. Medical applications include implantable devices like stents, catheters and wires, which need to be structured and cut with minimum heat damage. Also the flat panel display market moves from LCD displays to organic LED (OLED) solutions, which utilize heat-sensitive polymer substrates. In both areas, the substrates often consist of multilayer stacks with different types of materials, such as metals, dielectric layers and polymers with different physical characteristic. The different thermal behavior and laser absorption properties of the materials used makes these stacks difficult to machine using conventional laser sources. Femtosecond lasers are an enabling technology for micromachining of these materials since it is possible to machine ultrafine structures with minimum thermal impact and very precise control over material removed. An industrial femtosecond Spirit HE laser system from Spectra-Physics with pulse duration 120 μJ and average output powers of >16 W is an ideal tool for industrial micromachining of a wide range of materials with highest quality and efficiency. The laser offers process flexibility with programmable pulse energy, repetition rate, and pulse width. In this paper, we provide an overview of machining heat-sensitive materials using Spirit HE laser. In particular, we show how the laser parameters (e.g. laser wavelength, pulse duration, applied energy and repetition rate) and the processing strategy (gas assisted single pass cut vs. multi-scan process) influence the efficiency and quality of laser processing.

  9. Computer vision for foreign body detection and removal in the food industry

    Science.gov (United States)

    Computer vision inspection systems are often used for quality control, product grading, defect detection and other product evaluation issues. This chapter focuses on the use of computer vision inspection systems that detect foreign bodies and remove them from the product stream. Specifically, we wi...

  10. The Springfield gas machine illuminating industry and leisure, 1860s-1920s

    CERN Document Server

    Linebaugh, Donald W

    2012-01-01

    Developed just after the close of the Civil War, the Springfield Gas Machine was a unique commercial and domestic gas lighting system marketed for use in homes and businesses outside of a city's gas works. The self-contained unit was perfectly suited to accommodate an expanding rural and suburban U.S. landscape as middle- and upper-class American families were looking to find simplicity in the countryside without losing any modern comforts of the city. Industries, too, were looking for a means to operate more efficiently and implement longer work hours for various production operations

  11. 机器视觉在农业生产中的应用研究%Summary of Research on Machine Vision Application in Agricultural Production

    Institute of Scientific and Technical Information of China (English)

    刁智华; 王会丹; 魏伟

    2014-01-01

    Because of the non-destructive , high accuracy , speed and other advantages , Machine vision technology was widely used in modern agricultural production .Based on the previous research results and analysis of literature , the pro-gress in agricultural product quality grading and testing ,controlling injurious insects and weeds in farmland , agricultural automatic picking system and crop growth process detection and agricultural machine navigation based on machine vision technology were reviewed in this paper .And then they were analyzed and summarized .In the end ,open problems and fur-ther research of machine vision technology in agricultural production application were discussed .%机器视觉技术因其非破坏性、精度高、速度快等特点,在现代农业生产中得到广泛应用。基于前人研究成果和文献分析,综述了近年来机器视觉技术在农产品质量分级与检测、农田病虫草害控制、农业自动采摘系统、农作物生长过程检测以及农业机械导航等方面的国内外研究进展,并对机器视觉技术在各领域的研究情况进行分析和总结,提出了机器视觉技术在农业生产应用中存在的问题和未来的研究方向。

  12. Technique of Substantiating Requirements for the Vision Systems of Industrial Robotic Complexes

    Directory of Open Access Journals (Sweden)

    V. Ya. Kolyuchkin

    2015-01-01

    Full Text Available In references, there is a lack of approaches to describe the justified technical requirements for the vision systems (VS of industrial robotics complexes (IRC. Therefore, an objective of the work is to develop a technique that allows substantiating requirements for the main quality indicators of VS, functioning as a part of the IRC.The proposed technique uses a model representation of VS, which, as a part of the IRC information system, sorts the objects in the work area, as well as measures their linear and angular coordinates. To solve the problem of statement there is a proposal to define the target function of a designed IRC as a dependence of the IRC indicator efficiency on the VS quality indicators. The paper proposes to use, as an indicator of the IRC efficiency, the probability of a lack of fault products when manufacturing. Based on the functions the VS perform as a part of the IRC information system, the accepted indicators of VS quality are as follows: a probability of the proper recognition of objects in the working IRC area, and confidential probabilities of measuring linear and angular orientation coordinates of objects with the specified values of permissible error. Specific values of these errors depend on the orientation errors of working bodies of manipulators that are a part of the IRC. The paper presents mathematical expressions that determine the functional dependence of the probability of a lack of fault products when manufacturing on the VS quality indicators and the probability of failures of IRC technological equipment.The offered technique for substantiating engineering requirements for the VS of IRC has novelty. The results obtained in this work can be useful for professionals involved in IRC VS development, and, in particular, in development of VS algorithms and software.

  13. International Conference on Computational Vision and Robotics

    CERN Document Server

    2015-01-01

    Computer Vision and Robotic is one of the most challenging areas of 21st century. Its application ranges from Agriculture to Medicine, Household applications to Humanoid, Deep-sea-application to Space application, and Industry applications to Man-less-plant. Today’s technologies demand to produce intelligent machine, which are enabling applications in various domains and services. Robotics is one such area which encompasses number of technology in it and its application is widespread. Computational vision or Machine vision is one of the most challenging tools for the robot to make it intelligent.   This volume covers chapters from various areas of Computational Vision such as Image and Video Coding and Analysis, Image Watermarking, Noise Reduction and Cancellation, Block Matching and Motion Estimation, Tracking of Deformable Object using Steerable Pyramid Wavelet Transformation, Medical Image Fusion, CT and MRI Image Fusion based on Stationary Wavelet Transform. The book also covers articles from applicati...

  14. A Tailored Ontology Supporting Sensor Implementation for the Maintenance of Industrial Machines.

    Science.gov (United States)

    Maleki, Elaheh; Belkadi, Farouk; Ritou, Mathieu; Bernard, Alain

    2017-09-08

    The longtime productivity of an industrial machine is improved by condition-based maintenance strategies. To do this, the integration of sensors and other cyber-physical devices is necessary in order to capture and analyze a machine's condition through its lifespan. Thus, choosing the best sensor is a critical step to ensure the efficiency of the maintenance process. Indeed, considering the variety of sensors, and their features and performance, a formal classification of a sensor's domain knowledge is crucial. This classification facilitates the search for and reuse of solutions during the design of a new maintenance service. Following a Knowledge Management methodology, the paper proposes and develops a new sensor ontology that structures the domain knowledge, covering both theoretical and experimental sensor attributes. An industrial case study is conducted to validate the proposed ontology and to demonstrate its utility as a guideline to ease the search of suitable sensors. Based on the ontology, the final solution will be implemented in a shared repository connected to legacy CAD (computer-aided design) systems. The selection of the best sensor is, firstly, obtained by the matching of application requirements and sensor specifications (that are proposed by this sensor repository). Then, it is refined from the experimentation results. The achieved solution is recorded in the sensor repository for future reuse. As a result, the time and cost of the design process of new condition-based maintenance services is reduced.

  15. GAUGE R&R FOR AN OPTICAL MICROMETER INDUSTRIAL TYPE MACHINE

    Directory of Open Access Journals (Sweden)

    Georgia A. Louka

    2010-12-01

    Full Text Available The measurement of the uncertainty of a metric system, as 'Gauge R&R' and the collation of results between the Xbar & R and the ANOVA method, are extended in this essay. In an academic school laboratory we accomplished a sequence of measurements with the use of an Optical Micrometer Industrial Type Machine (MUL 300. This paper analyzes the measurement system that used in the laboratory and checks the reasons of the variability's provocation that observed in the machine, between the theoretical calculations and measurements. In order to find out this problem, we will use the 'Gage Repeatability and Reproducibility' technique of Measurement System Analysis (M.S.A.. This technique uses analysis of variance. In addition, will use Minitab program in order to find out the factors that we have in the whole experiment as enlarge the problem of measurements. In this paper, a statistical method using the correlation between Gage R&R and process capability indices is proposed for evaluating the adequacy of the acceptance criteria of P/T ratio. Finally, a comparative analysis has also been performed for evaluating the accuracy of Gage R&R between two methods (ANOVA and R- Xbar method. Hopefully, the results of this research can provide a useful reference for quality practitioners in various industries.

  16. Respiratory Health and Allergies from Chemical Exposures among Machining Industry Workers in Selangor, Malaysia

    Directory of Open Access Journals (Sweden)

    Soo Hui LIAW

    2015-10-01

    Full Text Available Background: This study was to determine the prevalence of respiratory health complaints, allergy symptom, lung functions, and the association between airborne concentrations of chromium and aluminium with respiratory health and allergy symptoms among machining industry workers in Selangor, Malaysia.Methods: The study design was a cross-sectional comparative study. The respiratory and allergy symptoms were obtained through the American Thoracic Society (ATS Adult Respiratory Questionnaire (ATS-DLD-78  modified questionnaire. Results: The MWFs unexposed group had significantly higher TWA8 airborne aluminum concentration (median = 0.24 µg/m3 than the exposed group (median = 0.13 µg/m3 (P=0.027. However, no significant difference was found in the airborne chromium between both groups. Significantly higher skin itchiness was reported by the MWFs exposed group. This was further supported by the serum total IgE concentrations which was significantly higher among MWFs exposed group than the unexposed group (P=0.024. The prevalence of total serum IgE was significantly higher for the exposed group (54.3% than the unexposed group (36.9%. The exposed group reported significantly higher prevalence of cough symptom, morning cough with sputum and health worries caused by metalworking fluids than the unexposed group. Conclusion: This study showed significantly higher allergy and respiratory symptoms among the MWFs exposed group than the unexposed group.   Keywords: Machining industry, Metalworking fluids, Allergy symptoms, IgE, Lung function

  17. Spanish industry and competitiveness. The overview from the Industrial Observatories; Industria espanola y competitividad. La vision desde los observatorios industriales

    Energy Technology Data Exchange (ETDEWEB)

    Ortigosa Goni, J. A.; Fuente Garcia, T. de la

    2012-07-01

    This article analyzes the competitiveness of the Spanish industry. It explains the interdependencies and relations that link globalization, internationalization and international trade with competitiveness. The main features of the Spanish industry are also studied in depth, its strengths and weaknesses. Finally, the challenges that the Spanish industry will face in the future are considered, as well as the role that the industrial observatories will play in that context. (Author)

  18. Parallel Algorithm for GPU Processing; for use in High Speed Machine Vision Sensing of Cotton Lint Trash

    Directory of Open Access Journals (Sweden)

    Mathew G. Pelletier

    2008-02-01

    Full Text Available One of the main hurdles standing in the way of optimal cleaning of cotton lint isthe lack of sensing systems that can react fast enough to provide the control system withreal-time information as to the level of trash contamination of the cotton lint. This researchexamines the use of programmable graphic processing units (GPU as an alternative to thePC’s traditional use of the central processing unit (CPU. The use of the GPU, as analternative computation platform, allowed for the machine vision system to gain asignificant improvement in processing time. By improving the processing time, thisresearch seeks to address the lack of availability of rapid trash sensing systems and thusalleviate a situation in which the current systems view the cotton lint either well before, orafter, the cotton is cleaned. This extended lag/lead time that is currently imposed on thecotton trash cleaning control systems, is what is responsible for system operators utilizing avery large dead-band safety buffer in order to ensure that the cotton lint is not undercleaned.Unfortunately, the utilization of a large dead-band buffer results in the majority ofthe cotton lint being over-cleaned which in turn causes lint fiber-damage as well assignificant losses of the valuable lint due to the excessive use of cleaning machinery. Thisresearch estimates that upwards of a 30% reduction in lint loss could be gained through theuse of a tightly coupled trash sensor to the cleaning machinery control systems. Thisresearch seeks to improve processing times through the development of a new algorithm forcotton trash sensing that allows for implementation on a highly parallel architecture.Additionally, by moving the new parallel algorithm onto an alternative computing platform,the graphic processing unit “GPU”, for processing of the cotton trash images, a speed up ofover 6.5 times, over optimized code running on the PC’s central processing

  19. Machine vision approach to auto-generation of high resolution, continental-scale geomorphometric map from DEM

    Science.gov (United States)

    Jasiewicz, J.; Stepinski, T. F.

    2012-04-01

    Geomorphometric map (GM) is a map of landforms delineated exclusively on the basis of their morphology; it depicts a classification of landscape into its constituent elements. GM is a valuable tool for visual terrain analysis, but more importantly, it's a perfect terrain representation for its further algorithmic analysis. GMs themselves are auto-generated from DEM. We have developed a new technique for auto-generation of GMs that is based on the principle of machine vision. Such approach approximates more closely the mapping process of human analyst and results in an efficient generation of GMs having quality and utility superior to maps generated by a standard technique based on differential geometry. The core of the new technique is a notion of geomorphon. A geomorphon is a relief-invariant, orientation-invariant, and size-flexible abstracted elementary unit of terrain. It is calculated from DEM using simple ternary patterns defined on a neighborhood which size adapts to the character of local terrain. Geomorphons are both terrain attributes and landform types at the same time; they allow for a direct and highly efficient, single-step classification and mapping of landforms. There are 498 unique geomorphons but only a small fraction of them are found in typical natural terrain. The geomorphon-based mapping technique is implemented as a GRASS GIS extension written in ANSI C and will be available in the public domain. In order to showcase the capabilities of geomorphons we have calculated the GM for the entire conterminous United States from the 30m/pixel NED DEM. The map shows ten most abundant landforms: flat, peak, ridge, shoulder, spur, slope, hollow, footslope, valley, and pit; a lookup table was used to assign each of the remaining 488 infrequent forms to a morphologically closest mapped form. The result is a unique, never before seen, type of map that clearly shows multiple geomorphic features and indicates the underlying geologic processes. The auto

  20. 基于机器视觉技术的无精蛋鉴别研究%Identification of Wind Egg Based on Machine Vision Technology

    Institute of Scientific and Technical Information of China (English)

    李天华; 李海亮

    2011-01-01

    [Objectives] To identify the wind egg by machine vision technology so as to improve the accuracy and rapidness of removing the wind eggs during the incubation process. [ Method] The images of hatching eggs were firstly acquired by CCD camera, and then imported into the computer to analyze it gray scale and detect the hatching eggs, the computer transmitted the signals to the core controller, which controlled the sense station to screen out the wind eggs. [ Result ] The wind eggs could be rapidly and accurately removed after 6-day hatching by using the machine vision technology. [Conclusion] The identification of wind egg by machine vision technology had high theoretical and practical significance.%[目的]采用机器视觉技术鉴别无精蛋,提高孵化生产过程中剔除无精蛋的准确率和速度.[方法]首先用CCD照相机获取入孵蛋图像,再将入孵蛋图像传输到计算机主机,主机测控软件对图像进行灰度特征分析、比较等,对入孵蛋进行检测,主机输出信号给核心控制器,由核心控制器控制检测台对无精蛋进行分选.[结果]采用机器视觉技术可以在入孵后第6天快速准确地剔除无精蛋.[结论]利用机器视觉检测技术鉴别无精蛋,具有较高的理论价值和实际生产意义.

  1. Socket Quality Detection Based on Machine Vision%基于机器视觉的插座品质检测方法

    Institute of Scientific and Technical Information of China (English)

    徐德明; 汪成龙

    2016-01-01

    针对目前人工成本上升,人眼易出现视觉疲劳导致检测效率低下等问题,本文提出了一种基于机器视觉的插座品质检测方法.主要研究内容如下:1)研究了基于模板匹配的插座机器视觉定位方法.2)研究了基于灰度均值的螺丝缺陷机器视觉检测方法.3)研究了基于灰度标准偏差的插孔缺陷机器视觉检测方法.根据以上检测方法,编写了检测软件,在生产线上进行测试,对插座螺丝和插孔缺陷的识别率达到100%,平均每帧图像处理仅耗时100ms,表明该方法具有准确率高、速度快的优点.%For the current rising labor costs and low detection efficiency of eye fatigue, this paper presents a method for detecting socket quality based on machine vision. The main research contents are as follows: 1) Socket positioning method based on template matching with machine vision. 2) The machine vision detection method for screws defects based on the mean of gray value. 3) The detection method of jack defect based on grayscale standard deviation. In the production line testing, screws and jack defect recognition rate have reached 100%. And the average per-frame image processing only takes 100ms, which shows that this method has high accuracy, fast speed advantages.

  2. Mechatronics Approach for a Controlled Actuation of the Presser Foot Mechanism on an Industrial Sewing Machine

    Directory of Open Access Journals (Sweden)

    L. F. Silva

    2000-01-01

    Full Text Available This paper describes the study of the research program being carried out on the feeding system of an industrial overlock sewing machine. The results obtained from the presser foot bar displacement and compression force, together with the graphic kinematic analysis, which includes the velocity and acceleration taken from the displacement-time curves of the presser bar, led to further understanding of the feeding system dynamics. This study is providing the basis for the development of a redesigned and optimized fabric feeding system. The new actuation system, based on a proportional force solenoid integrated in the presser foot bar, will be also discussed as an important contribution to achieving a desired dynamic behaviour at high sewing speeds.

  3. System for Sewing Machine Industry Standard Innovation——Constructive Research for a Technical Standards System for Sewing Machines

    Institute of Scientific and Technical Information of China (English)

    2007-01-01

    Constructive research of a market-oriented industry's system of technical standardization by redefining those technical standards is the basis of innovation. Through considering and implementing innovation of the industry's standards,rapid development and standardization of the industry can be achieved.

  4. Vision Systems in Industrial Robot Integration System%视觉系统在工业机器人集成系统中的应用

    Institute of Scientific and Technical Information of China (English)

    张文化

    2016-01-01

    随着科学技术的飞速发展,传统的以人控制机器制造产品的制造业已被以计算机控制的机器人制造产品代替了,生产效率得到大幅提升,产品质量有了更加可靠的保障,制造成本也大幅下降。然而有许多因素正在阻碍机器人的普及,其中一个主要因素是:大多数机器人都是“瞎子”。它们对周围环境完全没有感知能力或只有很低程度的感知能力,而这一能力却是我们大多数人每天习以为常的基本能力。我们的眼睛和大脑能够感知深度、质地和颜色等属性,同时当我们在走动时,我们的眼睛能够持续聚焦,并随着光线的变化进行调整。视觉能够赋予机器人以“看”的能力,而且现在的软件使机器人具有感知环境的能力,从而开启了各种视觉和机器人应用的大门。本文主要研究视觉系统在工业机器人中的应用并结合案例分析视觉系统加入到工业机器人集成系统中的具体效果。%With the rapid development of science and technology, the traditional people-controlled machine-building products manufacturing industry has been in a computer-controlled robots instead of the product, production efficiency has been greatly improved, the quality of products have a more reliable guarantee, manufacturing costs dramatically drop. However, there are many factors that hinder the popularity of the robot, which is a major factor:most robots are"blind". Their perception of the surrounding environment is no or only a low level of awareness, and this ability is the basic capabilities that most of us take for granted every day. Our eyes and brain to perceive depth, texture and color and other attributes, but when we walk, our eyes can continue to focus and change of light can be adjusted. Vision can give a robot the ability of "see", and now the robot software has the ability to perceive the environment, thus opening the door to a variety of

  5. 一种基于机器视觉的跑偏角估计算法%An algorithm of machine vision-based yaw-angle estimation

    Institute of Scientific and Technical Information of China (English)

    魏丽; 田克纯

    2011-01-01

    在移动机器人、汽车等自主行进过程中,由于受到道路情况等因素的影响,极易出现方向跑偏,导致其无法按照预定路径前进.为了防止出现跑偏等危险情况,研究了利用机器视觉估计预定运动方向和实际运动方向夹角即跑偏角的方法.介绍了利用机器视觉测量跑偏角的基本原理;研究了基于特征点跟踪的跑偏角估计算法.实验研究表明:该方法可以有效地在行进过程中计算跑偏角.%In the process of robot and automobile autonomous moving, vehicle cannot move along predestinate path due to road status and other factors. An algorithm of machine vision-based yaw angle computation for avoiding vehicle in danger is presented. The system constitutes of machine vision-based yaw angle computation is introduced. Algorithm of yaw angle computation which is built on feature points tracking is studied. Experimental results show that this method can compute yaw-angle in the process of vehicle moving effectively.

  6. Gradual Reduction in Sodium Content in Cooked Ham, with Corresponding Change in Sensorial Properties Measured by Sensory Evaluation and a Multimodal Machine Vision System.

    Science.gov (United States)

    Greiff, Kirsti; Mathiassen, John Reidar; Misimi, Ekrem; Hersleth, Margrethe; Aursand, Ida G

    2015-01-01

    The European diet today generally contains too much sodium (Na(+)). A partial substitution of NaCl by KCl has shown to be a promising method for reducing sodium content. The aim of this work was to investigate the sensorial changes of cooked ham with reduced sodium content. Traditional sensorial evaluation and objective multimodal machine vision were used. The salt content in the hams was decreased from 3.4% to 1.4%, and 25% of the Na(+) was replaced by K(+). The salt reduction had highest influence on the sensory attributes salty taste, after taste, tenderness, hardness and color hue. The multimodal machine vision system showed changes in lightness, as a function of reduced salt content. Compared to the reference ham (3.4% salt), a replacement of Na(+)-ions by K(+)-ions of 25% gave no significant changes in WHC, moisture, pH, expressed moisture, the sensory profile attributes or the surface lightness and shininess. A further reduction of salt down to 1.7-1.4% salt, led to a decrease in WHC and an increase in expressible moisture.

  7. Gradual Reduction in Sodium Content in Cooked Ham, with Corresponding Change in Sensorial Properties Measured by Sensory Evaluation and a Multimodal Machine Vision System

    Science.gov (United States)

    Greiff, Kirsti; Mathiassen, John Reidar; Misimi, Ekrem; Hersleth, Margrethe; Aursand, Ida G.

    2015-01-01

    The European diet today generally contains too much sodium (Na+). A partial substitution of NaCl by KCl has shown to be a promising method for reducing sodium content. The aim of this work was to investigate the sensorial changes of cooked ham with reduced sodium content. Traditional sensorial evaluation and objective multimodal machine vision were used. The salt content in the hams was decreased from 3.4% to 1.4%, and 25% of the Na+ was replaced by K+. The salt reduction had highest influence on the sensory attributes salty taste, after taste, tenderness, hardness and color hue. The multimodal machine vision system showed changes in lightness, as a function of reduced salt content. Compared to the reference ham (3.4% salt), a replacement of Na+-ions by K+-ions of 25% gave no significant changes in WHC, moisture, pH, expressed moisture, the sensory profile attributes or the surface lightness and shininess. A further reduction of salt down to 1.7–1.4% salt, led to a decrease in WHC and an increase in expressible moisture. PMID:26422367

  8. A Tailored Ontology Supporting Sensor Implementation for the Maintenance of Industrial Machines

    Directory of Open Access Journals (Sweden)

    Elaheh Maleki

    2017-09-01

    Full Text Available The longtime productivity of an industrial machine is improved by condition-based maintenance strategies. To do this, the integration of sensors and other cyber-physical devices is necessary in order to capture and analyze a machine’s condition through its lifespan. Thus, choosing the best sensor is a critical step to ensure the efficiency of the maintenance process. Indeed, considering the variety of sensors, and their features and performance, a formal classification of a sensor’s domain knowledge is crucial. This classification facilitates the search for and reuse of solutions during the design of a new maintenance service. Following a Knowledge Management methodology, the paper proposes and develops a new sensor ontology that structures the domain knowledge, covering both theoretical and experimental sensor attributes. An industrial case study is conducted to validate the proposed ontology and to demonstrate its utility as a guideline to ease the search of suitable sensors. Based on the ontology, the final solution will be implemented in a shared repository connected to legacy CAD (computer-aided design systems. The selection of the best sensor is, firstly, obtained by the matching of application requirements and sensor specifications (that are proposed by this sensor repository. Then, it is refined from the experimentation results. The achieved solution is recorded in the sensor repository for future reuse. As a result, the time and cost of the design process of new condition-based maintenance services is reduced.

  9. Review of data mining applications for quality assessment in manufacturing industry: support vector machines

    Directory of Open Access Journals (Sweden)

    Rostami Hamidey

    2015-01-01

    Full Text Available In many modern manufacturing industries, data that characterize the manufacturing process are electronically collected and stored in databases. Due to advances in data collection systems and analysis tools, data mining (DM has widely been applied for quality assessment (QA in manufacturing industries. In DM, the choice of technique to be used in analyzing a dataset and assessing the quality depend on the understanding of the analyst. On the other hand, with the advent of improved and efficient prediction techniques, there is a need for an analyst to know which tool performs better for a particular type of dataset. Although a few review papers have recently been published to discuss DM applications in manufacturing for QA, this paper provides an extensive review to investigate the application of a special DM technique, namely support vector machine (SVM to deal with QA problems. This review provides a comprehensive analysis of the literature from various points of view as DM concepts, data preprocessing, DM applications for each quality task, SVM preliminaries, and application results. Summary tables and figures are also provided besides to the analyses. Finally, conclusions and future research directions are provided.

  10. Laser Machining Series. Educational Resources for the Machine Tool Industry. Course Syllabi, Instructor's Handbook, [and] Student Laboratory Manual.

    Science.gov (United States)

    Texas State Technical Coll. System, Waco.

    This package consists of course syllabi, an instructor's handbook, and a student laboratory manual for a 1-year vocational training program to prepare students for entry-level employment as laser machining technicians. The program was developed through a modification of the DACUM (Developing a Curriculum) technique. The course syllabi volume…

  11. Enhancement in Evaluating Small Group Work in Courses with Large Number of Students. Machine Theory at Industrial Engineering Degrees

    Science.gov (United States)

    Jordi Nebot, Lluïsa; Pàmies-Vilà, Rosa; Català Calderon, Pau; Puig-Ortiz, Joan

    2013-01-01

    This article examines new tutoring evaluation methods to be adopted in the course, Machine Theory, in the Escola Tècnica Superior d'Enginyeria Industrial de Barcelona (ETSEIB, Universitat Politècnica de Catalunya). These new methods have been developed in order to facilitate teaching staff work and include students in the evaluation process.…

  12. Machine Tool Advanced Skills Technology (MAST). Common Ground: Toward a Standards-Based Training System for the U.S. Machine Tool and Metal Related Industries. Volume 13: Laser Machining, of a 15-Volume Set of Skill Standards and Curriculum Training Materials for the Precision Manufacturing Industry.

    Science.gov (United States)

    Texas State Technical Coll., Waco.

    This document is intended to help education and training institutions deliver the Machine Tool Advanced Skills Technology (MAST) curriculum to a variety of individuals and organizations. MAST consists of industry-specific skill standards and model curricula for 15 occupational specialty areas within the U.S. machine tool and metals-related…

  13. 75 FR 57271 - Creating an Offshore Wind Industry in the United States: A National Vision

    Science.gov (United States)

    2010-09-20

    ... of Energy Efficiency and Renewable Energy Creating an Offshore Wind Industry in the United States: A... planning a series of public events to exchange information on the development of offshore wind energy in... U.S. in creation of a world-leading offshore wind industry; focusing on ways in which the...

  14. Discovery of innovative therapeutics: today's realities and tomorrow's vision. 1. Criticisms faced by the pharmaceutical industry.

    Science.gov (United States)

    Abou-Gharbia, Magid; Childers, Wayne E

    2013-07-25

    The pharmaceutical industry is facing enormous challenges, including reduced efficiency, declining innovation, key patent expirations, fierce price competition from generics, high regulatory hurdles, and a tarnished image. There is a clear need for change in the paradigms designed to address these challenges. Pharma has responded by embarking on a range of initiatives. However, along the way the industry has accrued critics whose accusations have tainted its reputation. The first part of this two-part series will discuss the criticisms that have been leveled at the pharmaceutical industry and summarize the supporting data for and against these criticisms. The second installment will focus on the current challenges facing the pharmaceutical industry and Pharma's responses to address these challenges. It will describe the industry's changing perspective and new business models for coping with the recent loss of talent and declining clinical pipelines as well as present some examples of recent drug discovery successes.

  15. 基于机器视觉维氏硬度检测技术研究%Research on Technigues of Vickers Hardness Test Based on Machine Vision

    Institute of Scientific and Technical Information of China (English)

    韦喆; 张绍荣

    2015-01-01

    Vickers hardness test has advantages of high precision and wide application. But it has great manual operation error and limitation. The Vickers hardness test platform is set up base on machine vision method in this paper. Through acquiring and processing the images in dentation, hardness value is obtained by calculating. Its feasibility is verified through experiment.%维氏硬度测试是一种精度高、应用范围广的硬度测量方法,但人工操作测量误差高、局限性大。本研究基于机器视觉的方法,搭建维氏硬度测试平台,通过采集压痕图像并对其进行处理、运算得出被测物硬度值。实验验证了其可行性。

  16. Machine Tool Advanced Skills Technology (MAST). Common Ground: Toward a Standards-Based Training System for the U.S. Machine Tool and Metal Related Industries. Volume 7: Industrial Maintenance Technology, of a 15-Volume Set of Skill Standards and Curriculum Training Materials for the Precision Manufacturing Industry.

    Science.gov (United States)

    Texas State Technical Coll., Waco.

    This document is intended to help education and training institutions deliver the Machine Tool Advanced Skills Technology (MAST) curriculum to a variety of individuals and organizations. MAST consists of industry-specific skill standards and model curricula for 15 occupational specialty areas within the U.S. machine tool and metals-related…

  17. Real-time drogue recognition and 3D locating for UAV autonomous aerial refueling based on monocular machine vision

    Institute of Scientific and Technical Information of China (English)

    Wang Xufeng; Kong Xingwei; Zhi Jianhui; Chen Yong; Dong Xinmin

    2015-01-01

    Drogue recognition and 3D locating is a key problem during the docking phase of the autonomous aerial refueling (AAR). To solve this problem, a novel and effective method based on monocular vision is presented in this paper. Firstly, by employing computer vision with red-ring-shape feature, a drogue detection and recognition algorithm is proposed to guarantee safety and ensure the robustness to the drogue diversity and the changes in environmental condi-tions, without using a set of infrared light emitting diodes (LEDs) on the parachute part of the dro-gue. Secondly, considering camera lens distortion, a monocular vision measurement algorithm for drogue 3D locating is designed to ensure the accuracy and real-time performance of the system, with the drogue attitude provided. Finally, experiments are conducted to demonstrate the effective-ness of the proposed method. Experimental results show the performances of the entire system in contrast with other methods, which validates that the proposed method can recognize and locate the drogue three dimensionally, rapidly and precisely.

  18. Fully automatic CNC machining production system

    Directory of Open Access Journals (Sweden)

    Lee Jeng-Dao

    2017-01-01

    Full Text Available Customized manufacturing is increasing years by years. The consumption habits change has been cause the shorter of product life cycle. Therefore, many countries view industry 4.0 as a target to achieve more efficient and more flexible automated production. To develop an automatic loading and unloading CNC machining system via vision inspection is the first step in industrial upgrading. CNC controller is adopted as the main controller to command to the robot, conveyor, and other equipment in this study. Moreover, machine vision systems are used to detect position of material on the conveyor and the edge of the machining material. In addition, Open CNC and SCADA software will be utilized to make real-time monitor, remote system of control, alarm email notification, and parameters collection. Furthermore, RFID has been added to employee classification and management. The machine handshaking has been successfully proposed to achieve automatic vision detect, edge tracing measurement, machining and system parameters collection for data analysis to accomplish industrial automation system integration with real-time monitor.

  19. OF THE MACHINES, AND DIRECTIONS OF DEVELOPMENT

    Directory of Open Access Journals (Sweden)

    Kamsky, G.V.

    2016-08-01

    Full Text Available Additive manufacturing (AM of metal parts and components is a great goal for researchers and producers. In this research, we try to compare achievements and different approaches of 3d-machines producers; and to determine the most perspective AM producers, and the ways of further development of AM industry. For this purpose in addition to literary survey and analysis, the experimental building of the same object on different AM machines was carried out. Its results gives us vision of the most effective AM machines.

  20. SENSITIVITY ANALYSIS BY ARTIFICIAL NEURAL NETWORK (ANN) OF VARIABLES THAT INFLUENCE THE DIAGONAL TWIST IN A PAPERBOARD INDUSTRIAL MACHINE

    OpenAIRE

    Guinter Neutzling Schneid; Rubens Chaves de Oliveira; Osvaldo Vieira

    2016-01-01

    The dimensional stability of the paper may change due to middle exchange moisture, releasing the latent stress acquired into the manufacturing process. One result of this tension release is the diagonal curl. This study aims to conduct a sensitivity analysis of the different input’s variables of an industrial paper machine, along with some laboratory measurements, in order to identify the importance in production of paperboard quality control and relate to the property of the paper called...

  1. Decoding the industrial and digital city: visions of security in Holmes' and Sherlock’s London

    NARCIS (Netherlands)

    Kustritz, A.; Kohnen, M.E.S.; Stein, L.E.; Busse, K.

    2012-01-01

    Both the original and BBC Sherlock Holmes rely on the science of deduction to solve crimes and dazzle audiences. Emerging in times of cultural transformation, both characters offer reassurance about safety in the city by decoding people and places using contemporary technologies. In industrial

  2. Decoding the industrial and digital city: visions of security in Holmes' and Sherlock’s London

    NARCIS (Netherlands)

    Kustritz, A.; Kohnen, M.E.S.; Stein, L.E.; Busse, K.

    2012-01-01

    Both the original and BBC Sherlock Holmes rely on the science of deduction to solve crimes and dazzle audiences. Emerging in times of cultural transformation, both characters offer reassurance about safety in the city by decoding people and places using contemporary technologies. In industrial Victo

  3. Development of requirements on safety cases of machine industry products for power engineering

    Science.gov (United States)

    Aronson, K. E.; Brezgin, V. I.; Brodov, Yu. M.; Gorodnova, N. V.; Kultyshev, A. Yu.; Tolmachev, V. V.; Shablova, E. G.

    2016-12-01

    This article considers security assurance for power engineering machinery in the design and production phases. The Federal Law "On Technical Regulation" and the Customs Union Technical Regulations "On Safety of Machinery and Equipment" are analyzed in the legal, technical, and economic aspect with regard to power engineering machine industry products. From the legal standpoint, it is noted that the practical enforcement of most norms of the Law "On Technical Regulation" makes it necessary to adopt subordinate statutory instruments currently unavailable; moreover, the current level of adoption of technical regulations leaves much to be desired. The intensive integration processes observed in the Eurasian Region in recent years have made it a more pressing task to harmonize the laws of the region's countries, including their technical regulation framework. The technical aspect of analyzing the technical regulation of the Customs Union has been appraised by the IDEF0 functional modeling method. The object of research is a steam turbine plant produced at the turbine works. When developing the described model, we considered the elaboration of safety case (SC) requirements from the standpoint of the chief designer of the turbine works as the person generally responsible for the elaboration of the SC document. The economic context relies on risk analysis and appraisal methods. In their respect, these are determined by the purposes and objectives of analysis, complexity of considered objects, availability of required data, and expertise of specialists hired to conduct the analysis. The article proposes the description of all sources of hazard and scenarios of their actualization in all production phases of machinery life cycle for safety assurance purposes. The detection of risks and hazards allows forming the list of unwanted events. It describes the sources of hazard, various risk factors, conditions for their rise and development, tentative risk appraisals, and

  4. Remediation, General Education, and Technical Mathematics. Educational Resources for the Machine Tool Industry.

    Science.gov (United States)

    Texas State Technical Coll. System, Waco.

    This document contains descriptions of adult education courses in remediation, general education, and technical mathematics. They are part of a program developed by the Machine Tool Advanced Skills Technology Educational Resources (MASTER) program to help workers become competent in the skills needed to be productive workers in the machine tools…

  5. Simulation of the «COSMONAUT-ROBOT» System Interaction on the Lunar Surface Based on Methods of Machine Vision and Computer Graphics

    Science.gov (United States)

    Kryuchkov, B. I.; Usov, V. M.; Chertopolokhov, V. A.; Ronzhin, A. L.; Karpov, A. A.

    2017-05-01

    Extravehicular activity (EVA) on the lunar surface, necessary for the future exploration of the Moon, involves extensive use of robots. One of the factors of safe EVA is a proper interaction between cosmonauts and robots in extreme environments. This requires a simple and natural man-machine interface, e.g. multimodal contactless interface based on recognition of gestures and cosmonaut's poses. When travelling in the "Follow Me" mode (master/slave), a robot uses onboard tools for tracking cosmonaut's position and movements, and on the basis of these data builds its itinerary. The interaction in the system "cosmonaut-robot" on the lunar surface is significantly different from that on the Earth surface. For example, a man, dressed in a space suit, has limited fine motor skills. In addition, EVA is quite tiring for the cosmonauts, and a tired human being less accurately performs movements and often makes mistakes. All this leads to new requirements for the convenient use of the man-machine interface designed for EVA. To improve the reliability and stability of human-robot communication it is necessary to provide options for duplicating commands at the task stages and gesture recognition. New tools and techniques for space missions must be examined at the first stage of works in laboratory conditions, and then in field tests (proof tests at the site of application). The article analyzes the methods of detection and tracking of movements and gesture recognition of the cosmonaut during EVA, which can be used for the design of human-machine interface. A scenario for testing these methods by constructing a virtual environment simulating EVA on the lunar surface is proposed. Simulation involves environment visualization and modeling of the use of the "vision" of the robot to track a moving cosmonaut dressed in a spacesuit.

  6. Design and Application of Gun Type Micro Resistance Welding System Based on Machine Vision%基于机器视觉的枪式微型电阻焊接系统设计与应用

    Institute of Scientific and Technical Information of China (English)

    乔凤斌; 张松; 郭立杰

    2013-01-01

    Machine vision has a broad and important applications in industry, using CCD visual sensor collection the spot information in welding, thereby determining the solder joint pixel coordinates, and converted to the actual spatial coordinates, and then control the welding torch is moved to the top spot, achieving the purpose of automatic welding. The welding system for solar array efficient automated assembly and welding, which improved the solar array solder joint bearing capacity, extreme temperature mechanics performance, reliability, conductive and has the important significance.%基于机器视觉在工业上的广泛应用,通过采用CCD视觉传感器在焊前采集焊点的图像信息来确定焊点的像素坐标,并将其转换为实际的空间位置坐标,然后控制焊枪移动到焊点的正上方,达到自动焊接的目的.该焊接系统的研制对实现太阳电池阵的高效自动化组装和焊接,提高太阳电池阵焊点的承载能力、极端温度下的力学性能、可靠性、导电性等具有重要意义.

  7. Real-time vision systems

    Energy Technology Data Exchange (ETDEWEB)

    Johnson, R.; Hernandez, J.E.; Lu, Shin-yee [Lawrence Livermore National Lab., CA (United States)

    1994-11-15

    Many industrial and defence applications require an ability to make instantaneous decisions based on sensor input of a time varying process. Such systems are referred to as `real-time systems` because they process and act on data as it occurs in time. When a vision sensor is used in a real-time system, the processing demands can be quite substantial, with typical data rates of 10-20 million samples per second. A real-time Machine Vision Laboratory (MVL) was established in FY94 to extend our years of experience in developing computer vision algorithms to include the development and implementation of real-time vision systems. The laboratory is equipped with a variety of hardware components, including Datacube image acquisition and processing boards, a Sun workstation, and several different types of CCD cameras, including monochrome and color area cameras and analog and digital line-scan cameras. The equipment is reconfigurable for prototyping different applications. This facility has been used to support several programs at LLNL, including O Division`s Peacemaker and Deadeye Projects as well as the CRADA with the U.S. Textile Industry, CAFE (Computer Aided Fabric Inspection). To date, we have successfully demonstrated several real-time applications: bullet tracking, stereo tracking and ranging, and web inspection. This work has been documented in the ongoing development of a real-time software library.

  8. The Role of Sustainable Service Innovation in Crafting the Vision of the Hospitality Industry

    Directory of Open Access Journals (Sweden)

    Jeou-Shyan Horng

    2016-03-01

    Full Text Available The purpose of this study was to examine the key characteristics of sustainable service innovation in the hospitality industry. We conducted a content analysis based on the interview records for 17 experts (including three academic scholars, three government officers and 11 top-level managers with an average of 20 years of experience in the hospitality management domain in Taiwan. The analytical results conform to Amabile’s (1988 componential theory of creativity and innovation and show that 11 characteristics are major indicators of sustainable service innovation in the hotel management field. These include the following characteristics: market position, customer satisfaction, service orientation, environmental thinking, employee involvement, incentive mechanism, human resource development, environmental services, cultural resource management, government policy and school education. Accordingly, using the integrated theory of sustainable service innovation and professional opinions from experts, we provide theoretical and practical implications for current and future trends on sustainability and innovation in the hospitality industry.

  9. Advances in deep learning for vision, with applications to industrial inspection: classification, segmentation and morphological extensions

    OpenAIRE

    Masci, Jonathan; Schmidhuber, Jürgen

    2014-01-01

    Learning features for object detection and recognition with deep learning has received increasing attention in the past several years and recently attained widespread popularity. In this PhD thesis we investigate its applications to the automatic surface inspection system of our industrial partner ArcelorMittal, for classification and segmentation problems. Currently employed algorithms, in fact, use fixed feature extractors which are hard to tune and require extensive prior-knowledge. Ou...

  10. Machine Tool Advanced Skills Technology (MAST). Common Ground: Toward a Standards-Based Training System for the U.S. Machine Tool and Metal Related Industries. Volume 1: Executive Summary, of a 15-Volume Set of Skills Standards and Curriculum Training Materials for the Precision Manufacturing Industry.

    Science.gov (United States)

    Texas State Technical Coll., Waco.

    The Machine Tool Advanced Skills Technology (MAST) consortium was formed to address the shortage of skilled workers for the machine tools and metals-related industries. Featuring six of the nation's leading advanced technology centers, the MAST consortium developed, tested, and disseminated industry-specific skill standards and model curricula for…

  11. Vision and Motion Pictures.

    Science.gov (United States)

    Grambo, Gregory

    1998-01-01

    Presents activities on persistence of vision that involve students in a hands-on approach to the study of early methods of creating motion pictures. Students construct flip books, a Zoetrope, and an early movie machine. (DDR)

  12. The special industrial sewing machines based on PLC%基于PLC的特种工业缝纫机

    Institute of Scientific and Technical Information of China (English)

    石航飞; 郭丽

    2012-01-01

    由于特种工业缝纫机较一般工业缝纫机控制目标更多、任务更重,从而导致它对面线张力开关、脚踏板开关以及电磁阀控制的精度不高,以致缝制出的图案不规整,容易断线。针对此问题,本文以工业缝纫机的从机部分为研究对象,提出了一种基于PLC的特种工业缝纫机系统。试验结果表明:将PLC与电控系统相结合,既可提高从机系统的控制精度,又可提高缝纫机的整体性能。%Because the special industrial sewing machines used to have more control targets and tasks than those of common ones, for which they can't easily control the line tension switch, foot pedal switch and the electro-magnet valve with higher accuracy. Finally the design diagram of sewing wasn't neat and the wire was also easy to break. The article took the industry sewing machine system as the study object and proposed a special industrial sewing machine based on PLC. The experiment indicates that the PLC combin- ing with the electro-control system not only improves the control accuracy of the slave system, but also improves the overall performance of sewing machines.

  13. Enhancement in evaluating small group work in courses with large number of students. Machine theory at industrial engineering degrees

    Directory of Open Access Journals (Sweden)

    Lluïsa Jordi Nebot

    2013-03-01

    Full Text Available This article examines new tutoring evaluation methods to be adopted in the course, Machine Theory, in the Escola Tècnica Superior d’Enginyeria Industrial de Barcelona (ETSEIB, Universitat Politècnica de Catalunya. These new methods have been developed in order to facilitate teaching staff work and include students in the evaluation process. Machine Theory is a required course with a large number of students. These students are divided into groups of three, and required to carry out a supervised work constituting 20% of their final mark. These new evaluation methods were proposed in response to the significant increase of students in spring semester of 2010-2011, and were pilot tested during fall semester of academic year 2011-2012, in the previous Industrial Engineering degree program. Pilot test results were highly satisfactory for students and teachers, alike, and met proposed educational objectives. For this reason, the new evaluation methodology was adopted in spring semester of 2011-2012, in the current bachelor’s degree program in Industrial Technology (Grau en Enginyeria en Tecnologies Industrials, GETI, where it has also achieved highly satisfactory results.

  14. Using Standard-Sole Cost Method for Performance Gestion Accounting and Calculation Cost in the Machine Building Industry

    Directory of Open Access Journals (Sweden)

    Cleopatra Sendroiu

    2006-07-01

    Full Text Available The main purpose of improving and varying cost calculation methods in the machine building industry is to make them more operational and efficient in supplying the information necessary to the management in taking its decisions. The present cost calculation methods used in the machine building plants - global method and the method per orders - by which a historical cost is determined a posteriori used in deducting and post factum justification of manufacturing expenses does not offer the management the possibility to fully satisfy its need for information. We are talking about a change of conception in applying certain systems, methods and work techniques, according to the needs of efficient administration of production and the plant seen as a whole. The standard-cost method best answers to the needs of the effective management of the value side of the manufacturing process and raising economic efficiency. We consider that, in the machine building industry, these objectives can be achieved by using the standard - sole cost alternative of the standard-cost method.

  15. Using Standard-Sole Cost Method for Performance Gestion Accounting and Calculation Cost in the Machine Building Industry

    Directory of Open Access Journals (Sweden)

    Aureliana Geta Roman

    2006-09-01

    Full Text Available The main purpose of improving and varying cost calculation methods in the machine building industry is to make them more operational and efficient in supplying the information necessary to the management in taking its decisions. The present cost calculation methods used in the machine building plants – global method and the method per orders – by which a historical cost is determined a posteriori used in deducting and post factum justification of manufacturing expenses does not offer the management the possibility to fully satisfy its need for information. We are talking about a change of conception in applying certain systems, methods and work techniques, according to the needs of efficient administration of production and the plant seen as a whole. The standard-cost method best answers to the needs of the effective management of the value side of the manufacturing process and raising economic efficiency. We consider that, in the machine building industry, these objectives can be achieved by using the standard - sole cost alternative of the standard-cost method.

  16. Türk Savunma Sanayi Firmaları Vizyon ve Misyon İfadelerinin İçerik Analizi (The Content Analysis of Vision and Mission Statements in Turkish Defense Industry Firms)

    OpenAIRE

    Metin OCAK; Murat GÜLER; H. Nejat BASIM

    2016-01-01

    In this research, components used in mission and vision statements by Turkish Defense Industry Firms and their relations with national defense industry guidance documents are examined. For this reason 87 vision and 79 mission statements which mentioned on the web pages of 148 Turkish Defense Industry Firms’ are taken into consideration. A qualitative research design phenomenology was used and the data were analyzed through content analysis in this study. At the end of the analy...

  17. Recognition of Mould Colony on Unhulled Paddy Based on Computer Vision using Conventional Machine-learning and Deep Learning Techniques

    Science.gov (United States)

    Sun, Ke; Wang, Zhengjie; Tu, Kang; Wang, Shaojin; Pan, Leiqing

    2016-11-01

    To investigate the potential of conventional and deep learning techniques to recognize the species and distribution of mould in unhulled paddy, samples were inoculated and cultivated with five species of mould, and sample images were captured. The mould recognition methods were built using support vector machine (SVM), back-propagation neural network (BPNN), convolutional neural network (CNN), and deep belief network (DBN) models. An accuracy rate of 100% was achieved by using the DBN model to identify the mould species in the sample images based on selected colour-histogram parameters, followed by the SVM and BPNN models. A pitch segmentation recognition method combined with different classification models was developed to recognize the mould colony areas in the image. The accuracy rates of the SVM and CNN models for pitch classification were approximately 90% and were higher than those of the BPNN and DBN models. The CNN and DBN models showed quicker calculation speeds for recognizing all of the pitches segmented from a single sample image. Finally, an efficient uniform CNN pitch classification model for all five types of sample images was built. This work compares multiple classification models and provides feasible recognition methods for mouldy unhulled paddy recognition.

  18. Demonstration of a semi-autonomous hybrid brain-machine interface using human intracranial EEG, eye tracking, and computer vision to control a robotic upper limb prosthetic.

    Science.gov (United States)

    McMullen, David P; Hotson, Guy; Katyal, Kapil D; Wester, Brock A; Fifer, Matthew S; McGee, Timothy G; Harris, Andrew; Johannes, Matthew S; Vogelstein, R Jacob; Ravitz, Alan D; Anderson, William S; Thakor, Nitish V; Crone, Nathan E

    2014-07-01

    To increase the ability of brain-machine interfaces (BMIs) to control advanced prostheses such as the modular prosthetic limb (MPL), we are developing a novel system: the Hybrid Augmented Reality Multimodal Operation Neural Integration Environment (HARMONIE). This system utilizes hybrid input, supervisory control, and intelligent robotics to allow users to identify an object (via eye tracking and computer vision) and initiate (via brain-control) a semi-autonomous reach-grasp-and-drop of the object by the MPL. Sequential iterations of HARMONIE were tested in two pilot subjects implanted with electrocorticographic (ECoG) and depth electrodes within motor areas. The subjects performed the complex task in 71.4% (20/28) and 67.7% (21/31) of trials after minimal training. Balanced accuracy for detecting movements was 91.1% and 92.9%, significantly greater than chance accuracies (p system improvements implemented for the second subject. Our hybrid-BMI design prevented all but one baseline false positive from initiating the system. The novel approach demonstrated in this proof-of-principle study, using hybrid input, supervisory control, and intelligent robotics, addresses limitations of current BMIs.

  19. DEVELOPMENT OF A MACHINE VISION SYSTEM FOR WEED DETECTION DURING BOTH OF OFF-SEASON AND IN-SEASON IN BROADACRE NO-TILLAGE CROPPING LANDS

    Directory of Open Access Journals (Sweden)

    Huajian Liu

    2014-01-01

    Full Text Available More than half of the Australian cropping land is no-tillage and weed control within continuous no-tillage agricultural cropping area is becoming more and more difficult. A major problem is that the heavy herbicide usage causes some of more prolific weeds becoming more resistant to the regular herbicides and therefore more powerful and more expensive options are being pursued. To overcome such problems with aiming at the reduction of herbicide usage, this proposed research focuses on developing a machine vision system which can detect and mapping weeds or do spot spray. The weed detection methods described in this study include three aspects which are image acquisition, a new green plant detection algorithm using hybrid spectral indices and a new inter-row weed detection method taking the advantage of the location of the crop rows. The developed method could detect the weeds both during the non-growing summer period and also within the growing season until the canopy of the crop has closed. The design of the methods focuses on overcoming the challenges of the complex no-tillage background, the faster image acquisition speed and quicker processing time for real-time spot spray. The experiment results show that the proposed method are more suitable for the weed detection in the no-tillage background than the existing methods and could be used as a powerful tool for the weed control.

  20. Designing of cigarette detection system based on machine vision%基于机器视觉的烟支检测系统的设计

    Institute of Scientific and Technical Information of China (English)

    章磊; 李耀; 刘光徽

    2012-01-01

    According to the loose-ends and tobacco shortage problems in cigarette packaging line. This paper proposes a software and hardware design of cigarette detection system based on machine vision, gives the critical circuit and software processes of system, and analyzes problems in practical test. The system realizes the real-time images acquisition by OV7620 and FIFO cache, uses the image processing technology in cigarette image analysis,and chieves the automatic detection of the loose-ends and tobacco shortage.%针对卷烟包装线上出现的空头和缺支问题,提出了一种基于机器视觉技术的烟支在线检测系统软硬件设计,给出了关键的电路原理图及软件流程,并对实际测试中的一些问题进行了分析.系统利用OV7620及FIFO缓存技术实现了图像的实时采集,并采用数字图像处理的方法对烟支图像进行分析,实现了空头及缺支的自动检测.

  1. SURFACE QUALITY INSPECTION OF CERAMIC TILES BY MACHINE VISION%陶瓷砖表面质量视觉检测系统研究

    Institute of Scientific and Technical Information of China (English)

    李庆利; 郭彩玲; 张向红

    2011-01-01

    重点介绍了机器视觉技术在陶瓷砖表面质量检测中的应用.系统采用面阵摄象机作为测量工具,应用方向算子进行对目标边缘的定位和跟踪,以便获得完整、精确、封闭的目标边缘.实现了对陶瓷砖的边直度、直角度、缺边和缺角等项目的非接触检测.%In this paper, an on-line machine vision system for surface quality inspection of ceramic tiles is introduced, which grabs the images scanned by area-array cameras. The image processing algorithm which uses direction masks is used to locate the edge points exactly. The surface quality of ceramic tiles is measured by the real-time, high precision and non-contact method, which can detect straightness of sides, deviation from rectangularity, rough edge, chip and so on.

  2. STUDY ON SURFACE QUALITY OF CERAMIC TILES BY MACHINE VISION%陶瓷砖表面质量视觉检测系统研究

    Institute of Scientific and Technical Information of China (English)

    李庆利; 郭彩玲; 张向红

    2011-01-01

    In this paper an on-line machine vision system for surface quality of ceramic tiles is introduced, which grabs the images scanned by area-array camera.The image processing algorithm which uses direction masks is used to locate the edge points exactly.The surface quality of ceramic tiles is measured with the real-time, high precision and non-contact method, which includes straightness of sides,deviation from rectangularity, rough edge,chip and so on.%重点介绍了机器视觉技术在陶瓷砖表面质量检测中的应用.系统采用面阵摄像机作为测量工具,应用方向算子进行对目标边缘的定位和跟踪,以便获得完整、精确、封闭的目标边缘.实现了对陶瓷砖的边直度、直角度、缺边和缺角等项目的非接触检测.

  3. TWO-DIMENSION CODE RECOGNITION BASED ON MACHINE VISION%基于机器视觉的2D码识别

    Institute of Scientific and Technical Information of China (English)

    常晓玮

    2014-01-01

    According to components detection of the auto parts supply chain,put forward a kind code recognition method for DataMatrix code,PDF41 7 code,and QR code based on machine vision.The method of obtaining image firstly,and then using the image denoising technique to the image acquired with a 2D code processing,and then select different processing methods according to the 2D code can effectively identify these three 2D codes.The experimental result shows that the proposed approach is feasible and effective and can recognize DataMatrix code,PDF41 7 code,QR code real -timely.%针对汽车生产中零部件供应环节的部件检测应用,提出一种基于机器视觉的DataMatrix码、PDF417码、QR码识别方法。本方法利用图像获取、图像去噪等技术对获取的具有2D码的图像进行处理,然后根据2D码选取不同的处理方法,能有效识别以上三种2D码。实验结果表明该方法是可行的,能实时识别DataMatrix码、PDF417码、QR码。

  4. Regulation of unbalanced electromagnetic moment in mutual loading systems of electric machines of traction rolling stock and multiple unit of mainline and industrial transport

    Directory of Open Access Journals (Sweden)

    A. M. Afanasov

    2014-12-01

    Full Text Available Purpose. The research data are aimed to identify the regulatory principles of unbalanced electromagnetic moment of mutually loaded electric machines of traction rolling stock and multiple unit of main and industrial transport. The purpose of this study is energy efficiency increase of the testing of traction electric machines of direct and pulse current using the improvement methods of their mutual loading, including the principles of automatic regulation of mutual loading system. Methodology. The general theoretical provisions and principles of system approach to the theoretical electric engineering, the theory of electric machines and theoretical mechanics are the methodological basis of this research. The known methods of analysis of electromagnetic and electromechanical processes in electrical machines of direct and pulse current are used in the study. Methods analysis of loading modes regulation of traction electric machines was conducted using the generalized scheme of mutual loading. It is universal for all known methods to cover the losses of idling using the electric power. Findings. The general management principles of mutual loading modes of the traction electric machines of direct and pulse current by regulating their unbalanced electric magnetic moment were developed. Regulatory options of unbalanced electromagnetic moment are examined by changing the difference of the magnetic fluxes of mutually loaded electric machines, the current difference of electric machines anchors, the difference of the angular velocities of electric machines shafts. Originality. It was obtained the scientific basis development to improve the energy efficiency test methods of traction electric machines of direct and pulse current. The management principles of mutual loading modes of traction electric machines were formulated. For the first time it is introduced the concept and developed the principles of regulation of unbalanced electromagnetic moment in

  5. Industrial Maintenance Series. Educational Resources for the Machine Tool Industry. Course Syllabi, Instructor's Handbook, [and] Student Laboratory Manual.

    Science.gov (United States)

    Texas State Technical Coll. System, Waco.

    This package consists of course syllabi, an instructor's handbook, and a student laboratory manual for a 1-year vocational training program to prepare students for entry-level employment as industrial maintenance technicians. The program was developed through a modification of the DACUM (Developing a Curriculum) technique. The course syllabi…

  6. Diagnostics and Control of Natural Gas-Fired furnaces via Flame Image Analysis using Machine Vision & Artificial Intelligence Techniques

    Energy Technology Data Exchange (ETDEWEB)

    Shahla Keyvan

    2005-12-01

    A new approach for the detection of real-time properties of flames is used in this project to develop improved diagnostics and controls for natural gas fired furnaces. The system utilizes video images along with advanced image analysis and artificial intelligence techniques to provide virtual sensors in a stand-alone expert shell environment. One of the sensors is a flame sensor encompassing a flame detector and a flame analyzer to provide combustion status. The flame detector can identify any burner that has not fired in a multi-burner furnace. Another sensor is a 3-D temperature profiler. One important aspect of combustion control is product quality. The 3-D temperature profiler of this on-line system is intended to provide a tool for a better temperature control in a furnace to improve product quality. In summary, this on-line diagnostic and control system offers great potential for improving furnace thermal efficiency, lowering NOx and carbon monoxide emissions, and improving product quality. The system is applicable in natural gas-fired furnaces in the glass industry and reheating furnaces used in steel and forging industries.

  7. Learning Control: Sense-Making, CNC Machines, and Changes in Vocational Training for Industrial Work

    Science.gov (United States)

    Berner, Boel

    2009-01-01

    The paper explores how novices in school-based vocational training make sense of computerized numerical control (CNC) machines. Based on two ethnographic studies in Swedish schools, one from the early 1980s and one from 2006, it analyses change and continuity in the cognitive, social, and emotional processes of learning how to become a machine…

  8. Learning Control: Sense-Making, CNC Machines, and Changes in Vocational Training for Industrial Work

    Science.gov (United States)

    Berner, Boel

    2009-01-01

    The paper explores how novices in school-based vocational training make sense of computerized numerical control (CNC) machines. Based on two ethnographic studies in Swedish schools, one from the early 1980s and one from 2006, it analyses change and continuity in the cognitive, social, and emotional processes of learning how to become a machine…

  9. Body_Machine? Encounters of the Human and the Mechanical in Education, Industry and Science

    Science.gov (United States)

    Herman, Frederik; Priem, Karin; Thyssen, Geert

    2017-01-01

    This paper unveils the body_machine as a key element of dynamic mental maps that have come to shape both educational praxis and research. It traces and analyses instances in which the human and the mechanical encountered each other in metaphorical, material and visual forms, thereby blurring to some extent the boundaries between them while…

  10. Automated analysis of retinal imaging using machine learning techniques for computer vision [version 2; referees: 2 approved

    Directory of Open Access Journals (Sweden)

    Jeffrey De Fauw

    2017-06-01

    Full Text Available There are almost two million people in the United Kingdom living with sight loss, including around 360,000 people who are registered as blind or partially sighted. Sight threatening diseases, such as diabetic retinopathy and age related macular degeneration have contributed to the 40% increase in outpatient attendances in the last decade but are amenable to early detection and monitoring. With early and appropriate intervention, blindness may be prevented in many cases. Ophthalmic imaging provides a way to diagnose and objectively assess the progression of a number of pathologies including neovascular (“wet” age-related macular degeneration (wet AMD and diabetic retinopathy. Two methods of imaging are commonly used: digital photographs of the fundus (the ‘back’ of the eye and Optical Coherence Tomography (OCT, a modality that uses light waves in a similar way to how ultrasound uses sound waves. Changes in population demographics and expectations and the changing pattern of chronic diseases creates a rising demand for such imaging. Meanwhile, interrogation of such images is time consuming, costly, and prone to human error. The application of novel analysis methods may provide a solution to these challenges. This research will focus on applying novel machine learning algorithms to automatic analysis of both digital fundus photographs and OCT in Moorfields Eye Hospital NHS Foundation Trust patients. Through analysis of the images used in ophthalmology, along with relevant clinical and demographic information, DeepMind Health will investigate the feasibility of automated grading of digital fundus photographs and OCT and provide novel quantitative measures for specific disease features and for monitoring the therapeutic success.

  11. Automated analysis of retinal imaging using machine learning techniques for computer vision [version 1; referees: 2 approved

    Directory of Open Access Journals (Sweden)

    Jeffrey De Fauw

    2016-07-01

    Full Text Available There are almost two million people in the United Kingdom living with sight loss, including around 360,000 people who are registered as blind or partially sighted. Sight threatening diseases, such as diabetic retinopathy and age related macular degeneration have contributed to the 40% increase in outpatient attendances in the last decade but are amenable to early detection and monitoring. With early and appropriate intervention, blindness may be prevented in many cases.   Ophthalmic imaging provides a way to diagnose and objectively assess the progression of a number of pathologies including neovascular (“wet” age-related macular degeneration (wet AMD and diabetic retinopathy. Two methods of imaging are commonly used: digital photographs of the fundus (the ‘back’ of the eye and Optical Coherence Tomography (OCT, a modality that uses light waves in a similar way to how ultrasound uses sound waves. Changes in population demographics and expectations and the changing pattern of chronic diseases creates a rising demand for such imaging. Meanwhile, interrogation of such images is time consuming, costly, and prone to human error. The application of novel analysis methods may provide a solution to these challenges.   This research will focus on applying novel machine learning algorithms to automatic analysis of both digital fundus photographs and OCT in Moorfields Eye Hospital NHS Foundation Trust patients.   Through analysis of the images used in ophthalmology, along with relevant clinical and demographic information, Google DeepMind Health will investigate the feasibility of automated grading of digital fundus photographs and OCT and provide novel quantitative measures for specific disease features and for monitoring the therapeutic success.

  12. Artificial Vision, New Visual Modalities and Neuroadaptation

    Directory of Open Access Journals (Sweden)

    Hilmi Or

    2012-01-01

    Full Text Available To study the descriptions from which artificial vision derives, to explore the new visual modalities resulting from eye surgeries and diseases, and to gain awareness of the use of machine vision systems for both enhancement of visual perception and better understanding of neuroadaptation. Science could not define until today what vision is. However, some optical-based systems and definitions have been established considering some factors for the formation of seeing. The best known system includes Gabor filter and Gabor patch which work on edge perception, describing the visual perception in the best known way. These systems are used today in industry and technology of machines, robots and computers to provide their "seeing". These definitions are used beyond the machinery in humans for neuroadaptation in new visual modalities after some eye surgeries or to improve the quality of some already known visual modalities. Beside this, “the blindsight” -which was not known to exist until 35 years ago - can be stimulated with visual exercises. Gabor system is a description of visual perception definable in machine vision as well as in human visual perception. This system is used today in robotic vision. There are new visual modalities which arise after some eye surgeries or with the use of some visual optical devices. Also, blindsight is a different visual modality starting to be defined even though the exact etiology is not known. In all the new visual modalities, new vision stimulating therapies using the Gabor systems can be applied. (Turk J Oph thal mol 2012; 42: 61-5

  13. MM98.52 - An industrial comparison of coordinate measuring machines in Scandinavia with focus on uncertainty statements

    DEFF Research Database (Denmark)

    Hansen, Hans Nørgaard; Chiffre, Leonardo De

    1999-01-01

    This paper describes an industrial comparison of coordinate measuring machines (CMMs) carried out in the Scandinavian countries from October 1994 to May 1996. Fifty-nine industrial companies with a total of 62 CMMs participated in the project and measured a comparison package with five items chosen...... results for the majority of the participants; whereas, increasing the level of difficulty from simple length measurements to more complex geometrical quantities gave severe problems for some of the companies. This occurred even though the participants measured according to prescribed procedures....... An important part of the intercomparison was to test the ability of the participants to determine measurement uncertainties. One of the uncertainties was based upon a "best guess" but nevertheless, many participants did not even report this uncertainty. Uncertainty budgeting was not used for measurements other...

  14. Low Vision

    Science.gov (United States)

    ... HHS USAJobs Home > Statistics and Data > Low Vision Low Vision Low Vision Defined: Low Vision is defined as the ... Ethnicity 2010 U.S. Age-Specific Prevalence Rates for Low Vision by Age, and Race/Ethnicity Table for ...

  15. The PLC Control of Vision Detection Machine for Ceramic Sleeve Surface Defects%陶瓷套圈表面质量机器视觉检测系统

    Institute of Scientific and Technical Information of China (English)

    张磊; 陈红; 范维浩

    2011-01-01

    本文在分析陶瓷套圈表面质量机器视觉检测机的系统组成和自动检测工作流程基础上,设计出检测机的气动驱动系统和PLC集成电气控制系统,给出PLC控制程序流程.通过PLC集成机器视觉、气动驱动和步进电机驱动控制系统,实现陶瓷套圈外圆表面缺陷机器视觉检测自动化,自动检测节拍达到2秒/件.%This paper firstly analyzes the mechanical system principle and technological process of the vision detection machine for ceramic sleeve surface quality inspection, and then designs a pneumatic drive system and PLC control system for the machine finally programs a PLC control program to implement the integrating control of machine vision, pneumatic drive system and stepping motor. The automatic cycle time of vision detection implements is 2 sec / piece.

  16. Machine News and Volatility: The Dow Jones Industrial Average and the TRNA Sentiment Series

    NARCIS (Netherlands)

    D.E. Allen (David); A.K. Singh (Abhay)

    2014-01-01

    markdownabstract__Abstract__ This paper features an analysis of the relationship between the volatility of the Dow Jones Industrial Average (DJIA) Index and a sentiment news series using daily data obtained from the Thomson Reuters News Analytics (TRNA) provided by SIRCA (The Securities Industry Re

  17. An open CAM system for dentistry on the basis of China-made 5-axis simultaneous contouring CNC machine tool and industrial CAM software.

    Science.gov (United States)

    Lu, Li; Liu, Shusheng; Shi, Shenggen; Yang, Jianzhong

    2011-10-01

    China-made 5-axis simultaneous contouring CNC machine tool and domestically developed industrial computer-aided manufacture (CAM) technology were used for full crown fabrication and measurement of crown accuracy, with an attempt to establish an open CAM system for dental processing and to promote the introduction of domestic dental computer-aided design (CAD)/CAM system. Commercially available scanning equipment was used to make a basic digital tooth model after preparation of crown, and CAD software that comes with the scanning device was employed to design the crown by using domestic industrial CAM software to process the crown data in order to generate a solid model for machining purpose, and then China-made 5-axis simultaneous contouring CNC machine tool was used to complete machining of the whole crown and the internal accuracy of the crown internal was measured by using 3D-MicroCT. The results showed that China-made 5-axis simultaneous contouring CNC machine tool in combination with domestic industrial CAM technology can be used for crown making and the crown was well positioned in die. The internal accuracy was successfully measured by using 3D-MicroCT. It is concluded that an open CAM system for dentistry on the basis of China-made 5-axis simultaneous contouring CNC machine tool and domestic industrial CAM software has been established, and development of the system will promote the introduction of domestically-produced dental CAD/CAM system.

  18. Age, diversification and survival in the German machine tool industry, 1953-2002

    OpenAIRE

    Coad, Alex; Guenther, Christina

    2011-01-01

    We focus on the relationship of age and diversification patterns of German machine tool manufacturers in the post war era. Based on trade journals we track the entire firm populations' product portfolio development throughout each firm's lifetime. We distinguish between 'minor diversification' and 'major diversification', where these two concepts refer to adding a new product variation within a familiar submarket, or expanding the product portfolio into new submarkets. Our analysis reveals fo...

  19. A New Technique: Research and industrial application of a novel compound permanent magnet synchronous machine

    Institute of Scientific and Technical Information of China (English)

    Cheng-zhi FAN; Ming-xing HUANG; Yun-yue YE

    2009-01-01

    We propose a novel kind of compound permanent magnet synchronous machine (CPMSM), which is applicable in low-speed and high-torque situations. We first explain the structure of the CPMSM. Based on theoretically deducing the calculation formulae of the CPMSM electromagnetic parameters, we analyze the operating characteristics of the CPMSM, and obtain the power-angle curves and working curves. The no-load magnetic field distribution and the cogging torque are analyzed by applying the finite element method of three-dimensional (3D) magnetic fields, to determine the no-load leakage coefficient and the wave0form of the cogging torque. Furthermore, the optimal parameters of the permanent magnet for reducing the cogging torque are determined. An important application target of the CPMSM is in direct-drive pumping units. We have installed and tested a directdrive pumping unit in an existing oil well. Test results show that the power consumption of the direct-drive pumping unit driven by CPMSM is 6 1. 1% of that of the beam-pumping unit, and that the floor space and weight are only 50% of those of a beam-pumping unit. The noise output does not exceed 58 dB in a range of 1 m around the machine when the machine is 1.5 m from the ground.

  20. Machine Tool Advanced Skills Technology (MAST). Common Ground: Toward a Standards-Based Training System for the U.S. Machine Tool and Metal Related Industries. Volume 11: Computer-Aided Manufacturing & Advanced CNC, of a 15-Volume Set of Skill Standards and Curriculum Training Materials for the Precision Manufacturing Industry.

    Science.gov (United States)

    Texas State Technical Coll., Waco.

    This document is intended to help education and training institutions deliver the Machine Tool Advanced Skills Technology (MAST) curriculum to a variety of individuals and organizations. MAST consists of industry-specific skill standards and model curricula for 15 occupational specialty areas within the U.S. machine tool and metals-related…

  1. Machine Tool Advanced Skills Technology (MAST). Common Ground: Toward a Standards-Based Training System for the U.S. Machine Tool and Metal Related Industries. Volume 14: Automated Equipment Technician (CIM), of a 15-Volume Set of Skill Standards and Curriculum Training Materials for the Precision Manufacturing Industry.

    Science.gov (United States)

    Texas State Technical Coll., Waco.

    This document is intended to help education and training institutions deliver the Machine Tool Advanced Skills Technology (MAST) curriculum to a variety of individuals and organizations. MAST consists of industry-specific skill standards and model curricula for 15 occupational specialty areas within the U.S. machine tool and metals-related…

  2. Effects of occupational exposure to poorly soluble forms of beryllium on biomarkers of pulmonary response in exhaled breath of workers in machining industries

    OpenAIRE

    2016-01-01

    International audience; Objective: To analyze the effects of occupational exposure to poorly soluble forms of beryllium (Be) on biomarkers of pulmonary inflammation using exhaled breath condensate (EBC) in workers employed in machining industries.Methods: Twenty machining operators were compared to 16 controls. The individual exposure to Be was assessed from the work history with several indices of exposure calculated on the basis of task-exposures matrices developed for each plant using hist...

  3. Automatic Defect Inspection of PCB Bare Board Based on Machine Vision%基于机器视觉PCB裸板缺陷自动检测研究

    Institute of Scientific and Technical Information of China (English)

    刘百芬; 李海文; 张姝颖; 林德欣

    2014-01-01

    AppIying to the method of reference comparison to automatic defect inspection of PCB bare board based on machine vision.Camera captures muItipIe standard PCB image and caIcuIate its average gray get standard circuit board image tn the same position,image registration compIeted by standard PCB image under test PCB image's corner detection and cor-ner registration,adopting to standard PCB image under test PCB image adopt gray-scaIe transformation,fiItering,binarization, XOR and other image processing respectiveIy to detect the position of the defect area.%运用参考比较法对机器视觉PCB裸板缺陷检测进行了研究。在相机摄像头下同一位置采集多幅标准PCB图像累加求平均值得到标准电路板图像,运用Harris角点算法进行标准电路板图像和待测电路板图像的配准,分别对标准电路板图像和待测电路板图像进行灰度变换、中值滤波、二值化、异或等图像处理检测出缺陷区域,然后通过形态学消除伪缺陷,实验证明,该检测方法有较高的准确率。

  4. Application of machine vision in smartphone based on OpenCV%基于OpenCV的机器视觉在智能手机中的应用

    Institute of Scientific and Technical Information of China (English)

    何鹏; 王连鹏; 楚艳红

    2011-01-01

    For the features of competing mainly in software in the smart phone market, the machine vision technology is introduced to the smart phone based on embedded Linux. The hand signal recognition control application procedure based on OpenCV is studied and realized. Part of the decision started music player with the hand signal to regularly to carry on the discussion, and the program expansion interfaces can implement more different gestures to control the different actions. The experiment indicated that this system meets the realtime processing need, and the movement is stable. This feature of contactless controlling smart phone are both practical and avant-garde, and it makes the smart phones based on Linux more attractive, more broad prospects for development.%针对智能手机市场竞争中主要力拼软件的特点,将机器视觉技术引入以Linux为操作系统的智能手机中,基于OpenCV研究并实现了手势识别控制应用程序.系统决策实现的部分是以手势来启动音乐播放程序进行讨论,而且程序留有扩展接口可以实现更多不同的手势来控制不同的操作.实验结果表明,该系统满足实时处理需求,运行稳定,这种非接触式控制智能手机操作的功能既实用又前卫,使Linux操作系统的智能手机更具吸引力,发展前景更广阔.

  5. 基于机器视觉的点餐自动提示器设计%Design for automatic ordering prompter based on machine vision

    Institute of Scientific and Technical Information of China (English)

    陈善为; 余建安; 邵梦甜; 李萍; 王小梅

    2015-01-01

    According to blinding consumption and unhealthy diet, this thesis puts forward the automatic ordering prompter system based on machine vision;Starting with the key software and hardware technology from the composition of this system, based on the Design of light source, the selection of lens and image acquisition card and image processing control system integrated, this thesis analyzes the working principle of the system, designs the principle structure of the system and prototype designs;Finally, through the analysis of the data from the practice application, showing that the design is helpful to realize the expected goal of the scientific meal and civilized dining and showing that the design has a certain application prospect on the premise of cost control.%针对在外就餐中的盲目消费,不健康饮食等问题,提出基于机器视觉的点餐自动提示器系统;从组成系统的关键软硬件技术入手,基于光源设计、镜头及图像采集卡的选择、图像处理控制系统的设计集成,分析了系统的工作原理,设计了系统的原理结构,并在此基础上进行了原型设计;最后通过对原型系统实践应用得到的数据分析,表明该设计有助于实现科学点餐,文明就餐的预期目标,在成本得到进一步控制的前提下具有一定的应用前景。

  6. Automatic Detecting a Bunch of Cash Based on Machine Vision Systems%基于机器视觉的智能卡把系统

    Institute of Scientific and Technical Information of China (English)

    张海宁; 许飞; 冯晓岗

    2012-01-01

    卡把是指对捆钱的把数进行数目的核定.目前的卡把操作是人工的,不仅费时,而且可能出现误判.基于机器视觉的卡把系统通过摄像机取像,将被摄取的目标信号转换成图像信号,并将此图像信号传送给专用的图像处理系统,抽取图像的特征,进而根据判别的结果来控制智能设备的执行相应的操作.本系统能够自动进行智能卡把操作,并对不符合规范的钱捆进行报警和处理.不仅提高了卡把速度,而且极大降低了卡把的误判率.%Detecting a bunch of cash is refers to approve the number of money. Recently, this operation is manual, which not only takes time, but also appears a miscalculation. Automatic detecting a bunch of cash based on machine vision system gets the picture through the camera, makes the target signal convert into image signal, and takes the image signals lo the dedicated image processing system, extracts the image characteristics, and then controls the equipment to do the corresponding operation according to the result of discrimination. Tliis system can be automatically detected a bunch of cash, and alarms and handles money which is not up to standard, which not only improves the speed, and greatly reduces the false rate.

  7. 采棉机视觉导航路线图像检测方法%Detection for navigation route for cotton harvester based on machine vision

    Institute of Scientific and Technical Information of China (English)

    李景彬; 陈兵旗; 刘阳; 查涛

    2013-01-01

    Auto-navigation has a great significance in increasing the operating quality and production efficiency of agriculture machinery, such as improving the working environment and security situation for workers, reducing the labor intensity, etc. The vision navigation has many technical advantages that it can adapt to the complicated field of the operating environment, has wide detection range and has rich and complete information. It is the research focus in the field of agriculture machinery auto-navigation. How to extract routes fast, accurately, and effectively in the natural environment is the key in vision navigation. The vision navigation routes’ detect of a Cotton-picker is the main premise to achieve its auto-navigation. There are many difficulties in detecting the operation routes of a cotton-picker in the field. For example, during harvest, there are many kinds of target features like stalks, cotton, bolls, leaves, weeds in the cotton field and its outside region. In addition, a little cotton may be left on the stalks in the harvested region when we use machine to pick. This paper puts forward the detection algorithms of the operation routes of a cotton-picker, the edge and the end of the cotton field by analyzing the different color features of the harvested region, the un-harvested region, the outside region, and the end of the field. First, we used the difference of color components, such as 3B-R-G, |R-G|, |R-B| and |G-B| to extract the target features of the inner and outside of the cotton field respectively, and smooth the image using the moving average method by the set length. Then by finding the rose critical point of the crest that is based on the lowest trough point to the un-harvested region, and connecting with the line detect result of the previous frame, we determine the alternate point group of a straight line transform. At last, we extracted the navigation routes based on Passing a Known Point Hough Transform (PKPHT). The test proves that

  8. The '2000-Watt per person'- industrial society - Utopia, vision or necessity?; Die '2000 Watt pro Kopf'-Industriegesellschaft - Utopie, Vision oder Notwendigkeit?

    Energy Technology Data Exchange (ETDEWEB)

    Jochem, E

    2006-07-01

    This short article takes a look at the '2000-Watt per person' concept initially developed at the Swiss Federal Institute of Technology (ETH) in Zurich, Switzerland, in 1998. The author is of the opinion that the concept is not utopian but a vision that can be realised - providing it is accepted socially and that politics can implement it. Further work on the concept done at the ETH over the years is listed and commented on. A diagram provides an overview of energy resources, energy transformation and energy flows to final energy consumption. The question as to if the realisation of such a '2000-Watt'-society is actually necessary is posed.

  9. A Real Time Quality Monitoring System for the Lighting Industry: A Practical and Rapid Approach Using Computer Vision and Image Processing (CVIP Tools

    Directory of Open Access Journals (Sweden)

    C.K. Ng

    2011-11-01

    Full Text Available In China, the manufacturing of lighting products is very labour intensive. The approach used to check quality and control production relies on operators who test using various types of fixtures. In order to increase the competitiveness of the manufacturer and the efficiency of production, the authors propose an integrated system. This system has two major elements: a computer vision system (CVS and a real‐time monitoring system (RTMS. This model focuses not only on the rapid and practical application of modern technology to a traditional industry, but also represents a process innovation in the lighting industry. This paper describes the design and development of the prototyped lighting inspection system based on a practical and fast approach using computer vision and imaging processing (CVIP tools. LabVIEW with IMAQ Vision Builder is the chosen tool for building the CVS. Experimental results show that this system produces a lower error rate than humans produce in the quality checking process. The whole integrated manufacturing strategy, aimed at achieving a better performance, is most suitable for a China and other labour intensive environments such as India.

  10. Design on special robot used for colliery based on machine vision and independent suspension system%基于机器视觉和独立悬挂系统的煤矿特种机器人设计

    Institute of Scientific and Technical Information of China (English)

    赵建伟; 班钰; 王俊懿

    2016-01-01

    由于煤矿井下煤尘存在爆炸性、煤层中溢出的瓦斯也具有威胁性,所以采煤工作环境十分恶劣和危险。为此利用 LabVIEW 和 IMAQ Vision 构建了基于彩色图像二值化的机器视觉图像处理算法,提出了一种基于机器视觉和独立悬挂系统的煤矿特种机器人。该机器人四轮能够独立运动,同时兼备灵活的探测抓取和越障能力,应用于煤矿勘探以及利用视觉进行物体识别方面,并通过抓球和爬楼梯试验验证了该机构的可行性。%In view of severe and dangerous surroundings of coal mining operation, the paper applied LabVIEW and IMAQ Vision to construct the machine vision image processing algorithm based on color image binarization, and proposed a special robot used for colliery based on machine vision and independent suspension system. The four wheels of the robot moved independently, and the robot possessed flexible grasping ability and obstacle climbing ability. It could be applied to colliery exploration and object recognition via vision. Finally, the robot proved feasible via ball grasping and stair climbing test.

  11. A new hybrid machine design for a 6 DOF industrial robot arm

    CSIR Research Space (South Africa)

    Shaik, AA

    2012-05-01

    Full Text Available of units sold since 1960 amounted to more than 2 230 000, and the IFR (International Federation of Robotics) estimates the total number of operational industrial robots worldwide to be between 1 021 000 and 1 300 000 units at the end of 2009. [Exec sum... productivity to be competitive on the global market and the competition for market share in rising consumer markets. [IFR 1] The main drivers for the strong recovery in 2010 were automotive manufacturers and the electronics industry. In addition...

  12. SENSITIVITY ANALYSIS BY ARTIFICIAL NEURAL NETWORK (ANN OF VARIABLES THAT INFLUENCE THE DIAGONAL TWIST IN A PAPERBOARD INDUSTRIAL MACHINE

    Directory of Open Access Journals (Sweden)

    Guinter Neutzling Schneid

    2016-01-01

    Full Text Available The dimensional stability of the paper may change due to middle exchange moisture, releasing the latent stress acquired into the manufacturing process. One result of this tension release is the diagonal curl. This study aims to conduct a sensitivity analysis of the different input’s variables of an industrial paper machine, along with some laboratory measurements, in order to identify the importance in production of paperboard quality control and relate to the property of the paper called twist. A survey was made of the production history, relating to 2012, to observe the products with the highest quality losses. From this, they were correlated with the critical points of measurement profile in the machine cross direction and consequently with the paper. It was found some changes once the variables correlated with twist, referring to the three analyzes of the profile (tender side, middle and drive side. It was revealed, from the sensitivity analysis, that the most important and sensitive variables, respectively for the tender side, middle and drive side, were total flow from the top layer, vapor pressure in the 6th group of drying cylinders and mass flow side of the bottom layer of the formation of paperboard.

  13. LES MAISONS LOUCHEUR. LA MÁQUINA PARA HABITAR SE INDUSTRIALIZA / Maisons Loucheur. The machine for living in becomes industrialized

    Directory of Open Access Journals (Sweden)

    Alfonso Díaz Segura

    2012-05-01

    Full Text Available RESUMEN La famosa expresión de Le Corbusier, “La casa es una máquina para habitar” ha sido tradicionalmente malinterpretada. El maestro suizo no pretendía hacer casas que parecieran artefactos industriales, sino responder con la precisión de una máquina a los requerimientos funcionales y espirituales del hombre moderno. Las maisons Loucheur destacan entre los innumerables prototipos de viviendas para ser producidas en serie proyectadas a lo largo de su vida, puesto que las propone para ser construidas en seco, aplicando las posibilidades de la industria, pero teniendo en cuenta la capacidad operativa de los constructores locales. El desastre de los barrios de Lège y Pessac le había hecho comprender que la aproximación a la técnica debe hacerse desde el conocimiento y no desde la mitificación. SUMMARY Le Corbusier’s famous expression, “The house is a machine for living in”, has traditionally been misunderstood. The Swiss master did not intend to make houses that look like industrial artefacts, but that they should respond with the precision of a machine to the functional and spiritual requirements of modern man. Le Corbusier’s Maisons Loucheur stand out among the many housing prototypes for serial production planned throughout his life. He proposed dry–assembly for their construction, using the possibilities of industry, but taking into account the operational capability of the local builders. The disaster of the Lège and Pessac neighbourhoods made him understand that the technical approach must be made from knowledge and not from myth.

  14. Industrial application of liquid steel filtration out of dispersed nonmetallic phase in the continuous casting machine

    Directory of Open Access Journals (Sweden)

    K. Janiszewski

    2013-01-01

    Full Text Available Hitherto existing investigations concerning the ceramic filter use in the steel making processes (both of laboratory and industrial scale have given good results. The obtained results of filtration (in the laboratory have proved that this method may be used as an effective and cheap way of steel filtration from non-metallic inclusions. Placing filters in the tundish is the best location in consideration of limiting the possibility of secondary pollution of steel. Yet, the results presented in this paper, of an experiment prepared and carried out in the industrial environment, are the only positive results obtained, which are connected with so much quantities of liquid steel processed with use of the multi-hole ceramic filters.

  15. Shape Parameter of Micro Part Detection Method Based on Machine Vision%基于机器视觉的微小零件形貌检测方法

    Institute of Scientific and Technical Information of China (English)

    2015-01-01

    针对当前工业生产中人工对微小异形零件形貌参数测量精度低、速度慢的问题,提出了一种基于机器视觉的检测方法,并开发了一款基于开源计算机视觉库OpenCV的检测软件。该检测方法首先使用CMOS相机采集被测零件的图像,并结合频谱特征对其进行滤波、阈值分割等预处理;然后选取效率高、边缘跨度为单像素的Canny边缘检测算法对预处理之后的图像进行边缘检测;最后采用Ramer算法对零件轮廓进行递归细分,拟合出几何基元,并结合测量焦距下的系统标定系数计算出零件实际的形貌参数。实验结果表明:通过该检测方法对长、宽均为毫米量级的Ω型微小零件进行形貌检测,检测精度达到10μm以下,具有精度高、速度快的优点,可为工业化生产提供可靠依据。%Aiming at the faults of low precision and slow speed in the manual measurement of tiny special-shaped com-ponent’s shape parameters in current industrial production, a detecting method based on machine vision was proposed and a detecting software founded on open-source computer vision library OpenCV was programmed. Firstly, the object was imaged with a CMOS sensor and preprocessed with filtering and threshold by the use of spectrum analysis method. And then Canny edge detecting algorithm which is successful in extracting the edges with pixel precision and high effi-ciency was chosen to detect the edge of preprocessed image. In the end,by adopting the Ramer algorithm which per-forms a recursive subdivision of the contour to fit geometric primitives and using system calibration coefficient, the shape parameters of the measured part were obtained. The experimental result shows that through the proposed detec-tion method, the shape parameters of a micro component in the shape of Ω, the length and width of which were in millimeter level which can be acquired. And the detecting precision can reach to a

  16. Novel pose measurement for agricultural vehicle guided by machine vision%视觉导航农用车辆相对位姿测量新方法

    Institute of Scientific and Technical Information of China (English)

    周俊; 姬长英; 刘成良

    2006-01-01

    农田环境中农作物大多呈近似直线的行垄分布特点,农用车辆自主视觉导航时通常利用这些景物特征作为跟踪目标.提出了一种计算车辆相对于跟踪目标位姿的新型方法,首先分析了传统算法中存在的计算量大、忽视图像平面中各像素权重不同等缺陷,而后依据跟踪路径局部线性模型假设,详细地推导了算法过程.基于视觉导航原型车辆的试验结果表明,与人工测量值相比,横向距离和航向角的误差均值都等于零,标准差分别为3cm 和0.62deg.%Some agricultural tasks consist of applying chemical fertilizer to crops, but the products are often applied throughout the field in most cases, which cause pollution of water and possible chemical residues. In order to apply the products selectively and reduce the quantity of application, an autonomous vehicle can be used. Generally, this kind of vehicle follows the crop rows autonomously in the field where plants are arranged in rows, so its pose relative to crop row is important for tracking algorithm to work. With the machine vision, a novel method to calculate this pose was demonstrated, which could adapt to the complex characteristics of field environment excellently. First, some shortcomings involved in the conventional measuring method were analyzed carefully, such as processing time being long, pixel weight in the digital image being ignored and so on. With the local linear model of the tracked crop row then the algorithm was deduced at full length. Finally, based on the prototype of autonomous agricultural vehicle, the experiment was carried out, and it was shown that compared with the manual measurement the standard deviation of offset was 3 cm and of heading angle 0.62 deg while without any fixed displacement.

  17. Application of OpenCV in machine vision detection system of cigarette case%OpenCV在条烟视觉检测系统中的应用

    Institute of Scientific and Technical Information of China (English)

    周传宏; 陈郭宝; 王怀虎; 康少博

    2011-01-01

    The cigarette case detection system is a special device, which is installed on the production line in front of packing machine to detect the appearance defect.The system can detect cigarette case in real-time and remove the defective products in time with characteristics of high-speed, efficient and accurate, which is an auto-detection system covering mechanic, optical, electric, computer and communications as well as other technologies.The application of the system greatly improves the automation of the tobacco company;In addition, it also can reduce the labor intensity,improve the working environment and ensure the product quality.The algorithm for common detection items of cigarette case was designed and the open source computer vision library OpenCV of Intel Company was used to improve the detection speed and accuracy in it.%条烟视觉检测系统是安装在条包生产线上,在条包装箱之前,对其外观缺陷进行检测的一种专用设备.系统可以对生产线上的条包进行实时检测,并及时剔除外观有缺陷的产品,具有高速、高效、准确的优点.该检测系统是集机械、光电、计算机、通信等技术为一体自动化检测系统,系统具有高速、高效、准确的优点,它的使用不仅可以提高烟草生产企业的自动化程度,还可以降低工人的劳动程度,改善工作环境,保证产品的质量.对常见条烟检测项进行了算法设计,并利用某公司的开源计算机视觉库OpenCV进行算法实现,提高了检测速度和精度.

  18. Predictive Models of Work-Related Musculoskeletal Disorders (WMSDs Among Sewing Machine Operators in the Garments Industry

    Directory of Open Access Journals (Sweden)

    Carlos Ignacio P. Lugay

    2015-02-01

    Full Text Available The Philippine garments industry has been a driving force in the country’s economy, with apparel manufacturing firms catering to the local and global markets and providing employment opportunities for skilled Filipinos. Tight competition from neighboring Asian countries however, has made the industry’s situation difficult to flourish, especially in the wake of the Association of Southeast Asian Nations (ASEAN 2015 Integration. To assist the industry, this research examined one of the more common problems among sewing machine operators, termed as Work-related Musculoskeletal Disorders (WMSDs. These disorders are reflective in the frequency and severity of the pain experienced by the sewers while accomplishing their tasks. The causes of these disorders were identified and were correlated with the frequency and severity of pain in various body areas of the operator. To forecast pain from WMSDs among the operators, mathematical models were developed to predict the combined frequency and severity of the pain from WMSDs. Loss time or “unofficial breaktimes” due to pain from WMSDs was likewise forecasted to determine its effects on the firm’s production capacity. Both these predictive models were developed in order to assist garment companies in anticipating better the effects of WMSDs and loss time in their operations. Moreover, ergonomic interventions were suggested to minimize pain from WMSDs, with the expectation of increased productivity of the operators and improved quality of their outputs.

  19. 机器视觉辅助的插头锥套式无人机自主空中加油仿真%Machine Vision Aided Simulation of Probe and Drogue Unmanned Aerial Vehicle Autonomous Aerial Refueling

    Institute of Scientific and Technical Information of China (English)

    王旭峰; 董新民; 孔星炜

    2013-01-01

    In order to precisely obtain the relative pose between probe and drogue during unmanned aerial vehicle (UAV) autonomous aerial refueling docking,a machine vision aided simulation scheme of probe-drogue UAV autonomous aerial refueling is proposed.Based on the machine vision,the recognition and tracking algorithm of refueling drogue is investigated.The relative pose between UAV and refueling drogue is estimated by using of Kalman filter algorithm.Experiment results show that the machine vision aided image processing algorithm can recognize and track refueling drogue precisely and the convergence of relative pose errors estimated by the filter algorithm is proved,fulfilling the demand of probe-drogue UAV autonomous aerial refueling.%为准确获取无人机自主空中加油对接阶段受油插头与加油锥套的相对位姿信息,提出一种机器视觉辅助的插头锥套式无人机自主空中加油方案.研究了机器视觉识别跟踪加油锥套的算法,利用卡尔曼滤波算法估计无人机与加油锥套的相对位姿.实验结果表明:机器视觉图像处理算法可精确识别跟踪加油锥套,滤波器估计的相对位姿误差收敛速度较快,满足插头锥套式无人机自主空中加油的需要.

  20. Türk Savunma Sanayi Firmaları Vizyon ve Misyon İfadelerinin İçerik Analizi (The Content Analysis of Vision and Mission Statements in Turkish Defense Industry Firms

    Directory of Open Access Journals (Sweden)

    Metin OCAK

    2016-08-01

    Full Text Available In this research, components used in mission and vision statements by Turkish Defense Industry Firms and their relations with national defense industry guidance documents are examined. For this reason 87 vision and 79 mission statements which mentioned on the web pages of 148 Turkish Defense Industry Firms’ are taken into consideration. A qualitative research design phenomenology was used and the data were analyzed through content analysis in this study. At the end of the analysis, it is identified that there are common 14 components in vision statements and 13 common components in mission statements. Also it is discovered that some of the components are relevant with components mentioned in the national defense industry guidance documents.

  1. Rage against the Machine: Vincenzo Agnetti’s Critique of Industrial Alienation

    Directory of Open Access Journals (Sweden)

    Laura Moure Cecchini

    2012-12-01

    Full Text Available This essay analyzes the work of the Milanese artist Vincenzo Agnetti (1926-1981, in particular his pieces La macchina drogata (1968 and NEG (1970. Like other Italian artists and intellectuals of the 1960s and 1970s, Agnetti was concerned about the alienation caused by industrial development and consumer society, manifested in carefully designed objects of everyday use. To counteract the automatism of perception and thought that he considered the sign of alienated experience, Agnetti’s artworks employed several strategies that obliged the public to attend to its thinking processes. Thus, Agnetti put in practice forms of aesthetic estrangement similar to those evoked in the same period by Gillo Dorfles and Umberto Eco to counteract the widespread loss of awareness.

  2. Introduction: Minds, Bodies, Machines

    Directory of Open Access Journals (Sweden)

    Deirdre Coleman

    2008-10-01

    Full Text Available This issue of 19 brings together a selection of essays from an interdisciplinary conference on 'Minds, Bodies, Machines' convened last year by Birkbeck's Centre for Nineteenth-Century Studies, University of London, in partnership with the English programme, University of Melbourne and software developers Constraint Technologies International (CTI. The conference explored the relationship between minds, bodies and machines in the long nineteenth century, with a view to understanding the history of our technology-driven, post-human visions. It is in the nineteenth century that the relationship between the human and the machine under post-industrial capitalism becomes a pervasive theme. From Blake on the mills of the mind by which we are enslaved, to Carlyle's and Arnold's denunciation of the machinery of modern life, from Dickens's sooty fictional locomotive Mr Pancks, who 'snorted and sniffed and puffed and blew, like a little labouring steam-engine', and 'shot out […]cinders of principles, as if it were done by mechanical revolvency', to the alienated historical body of the late-nineteenth-century factory worker under Taylorization, whose movements and gestures were timed, regulated and rationalised to maximize efficiency; we find a cultural preoccupation with the mechanisation of the nineteenth-century human body that uncannily resonates with modern dreams and anxieties around technologies of the human.

  3. Quantificação da falha na madeira em juntas coladas utilizando técnicas de visão artificial Measuring wood failure percentage using a machine vision system

    Directory of Open Access Journals (Sweden)

    Christovão Pereira Abrahão

    2003-02-01

    Full Text Available Com o emprego de adesivos pode-se obter um grande número de produtos derivados da madeira. Para confecção industrial de produtos de madeira colada, normas reconhecidas internacionalmente exigem que a adesão da madeira seja testada segundo procedimentos padronizados e que nos resultados destes testes seja reportado, além da resistência das juntas, o porcentual de falha na madeira. Para avaliação da falha a norma ASTM D5266-99 recomenda o emprego de uma rede de quadrículas traçada sobre um material transparente. Contudo, esta avaliação, além de demandar muito tempo, ainda é realizada com muita subjetividade. A hipótese do presente trabalho é que se pode quantificar a falha na madeira com um sistema de visão artificial, tornando o procedimento mais rápido e menos sujeito à subjetividade. Foram testados dois tipos de algoritmos de limiarização automática em imagens adquiridas com digitalizadores de mesa. Concluiu-se que a falha na madeira pode ser quantificada por limiarização automática em substituição ao método convencional das quadrículas. Os algoritmos testados apresentaram erro médio absoluto menor que 3% em relação ao sistema convencional da rede quadriculada.It is possible to obtain several products by glueing wood. Internationally approved standards require wood adhesion to be tested according to standardized procedures, including in the results, shear stress and wood failure percentages. In order to estimate wood failure percentage, the ASTM D5266-99 standard suggests the use of a grid template printed on a transparent sheet. However, this evaluation is not only time-consuming but also subjective. This work developed and tested an algorithm to quantify the flawed wood areas by using a machine vision system, a faster and less subjective procedure. Two types of automatic threshold algorithms were tested. The glued wood samples were scanned after the shear tests under compression. It was concluded that automatic

  4. Dynamism in a Semiconductor Industrial Machine Allocation Problem using a Hybrid of the Bio-inspired and Musical-Harmony Approach

    Science.gov (United States)

    Kalsom Yusof, Umi; Nor Akmal Khalid, Mohd

    2015-05-01

    Semiconductor industries need to constantly adjust to the rapid pace of change in the market. Most manufactured products usually have a very short life cycle. These scenarios imply the need to improve the efficiency of capacity planning, an important aspect of the machine allocation plan known for its complexity. Various studies have been performed to balance productivity and flexibility in the flexible manufacturing system (FMS). Many approaches have been developed by the researchers to determine the suitable balance between exploration (global improvement) and exploitation (local improvement). However, not much work has been focused on the domain of machine allocation problem that considers the effects of machine breakdowns. This paper develops a model to minimize the effect of machine breakdowns, thus increasing the productivity. The objectives are to minimize system unbalance and makespan as well as increase throughput while satisfying the technological constraints such as machine time availability. To examine the effectiveness of the proposed model, results for throughput, system unbalance and makespan on real industrial datasets were performed with applications of intelligence techniques, that is, a hybrid of genetic algorithm and harmony search. The result aims to obtain a feasible solution to the domain problem.

  5. Design of Intelligent Mobile Fruit Picking Robot—Based on Machine Vision Technology%智能移动式水果采摘机器人设计—基于机器视觉技术

    Institute of Scientific and Technical Information of China (English)

    孙承庭; 胡平

    2016-01-01

    The deepening of industry automation and computer intelligent control makes the intelligent robot in various fields of application very widespread ,the development of science and technology drives the development of society .China's vast most of the fruit picking work is still done manually .With the rapid development of China's social and economic , the wages of the workers continues to rise , manual picking fruit increased the fruit of economic cost and the demand of robot in the field of agriculture ,so it is becoming more and more urgent .In this paper , based on machine vision technology de-sign and research on the intelligent mobile fruit picking robot , and the mobile carrier , mechanical arm , clip holding de-vice , it designed a horizontal moving mechanism and intelligent control module in a body , by using binocular stereo vi-sion technology , the mobile robot's walking path planning , fruit maturity automatically judge and of mature fruit location recognition function for picking fruit .Experiments show that the design of the picking robot can overcome the impact of climate factors , by using visual technology with simple mechanical structure , operation process of stable performance , high efficiency , high reliability , adapt to ability .%自动化和计算机智能控制行业的不断发展,使得智能机器人在各个领域的应用已经十分普遍. 目前,我国绝大部分水果采摘工作依然靠人工完成,随着工人工资不断攀升,人工采摘水果增加了果农的经济成本,机器人在农业领域方面的需求越来越迫切. 为此,基于机器视觉技术设计了智能移动式水果采摘机器人,集可移动载体、机械手臂、夹持器、横向移动机构及智能控制模块于一身,采用双目立体视觉技术,实现了水果采摘机器人移动行走路径的规划、果实成熟度自动判断及对成熟果实定位识别的功能. 试验表明:所设计的采摘机器人采用视觉技术,机械结构

  6. Conveyor Belt Surface Image Correction and Fault Detection Algorithm Research Based on Machine Vision%基于机器视觉的输送带图像校正和故障检测算法研究

    Institute of Scientific and Technical Information of China (English)

    2016-01-01

    为了消除基于机器视觉的输送带故障在线监测系统中采集图像的不均匀光照影响,提高图像质量,检测出图像中的故障区域,提出了一种基于机器视觉的输送带图像校正和故障检测算法.该算法首先采用Butterworth低通滤波器对图像滤波,结合Retinex理论计算估计真实图像的背景,对图像进行灰度校正,得到校正后的图像;然后将机器视觉与生物视觉相结合,利用PCNN算法,对采集的图像进行检测,检测出故障区域.实验结果表明,算法能有效校正输送带表面图像,清晰检测出故障区域,具有很高的应用价值.%For the purposes of eliminating the influence of the non-uniform illumination which was used in on-line fault moni-toring system of conveyor belt based on machine vision and improved the quality of detected image and detecting the fault area of the image, a new kind of detection algorithm based on machine vision was proposed which can be used to realize the image correc-tion and fault detection of conveyor belt. The proposed algorithm firstly implemented the low-pass filtering of the acquired images by using Butterworth low-pass filter, then established estimated background model of the non-uniform illumination based on Retinex theory. Gray scale of the image can be amended evenly. Lastly, by using the combination the machine vision with biological vision and PNCC theory, the defected area of collected surface image of the conveyor belt was detected. Experimental results show that the proposed algorithm can be effectively used to correct the uneven gray scale of the surface images and detect the defected area of the surface image. It proves that this proposed algorithm has very high application value in mine belt conveyor supervision system.

  7. 基于机器视觉的水稻秧苗图像分割%Machine vision based segmentation algorithm for rice seedling

    Institute of Scientific and Technical Information of China (English)

    袁加红; 朱德泉; 孙丙宇; 孙磊; 武立权; 宋宇; 蒋锐

    2016-01-01

    水稻秧苗的识别是水稻插秧机自主导航系统的关键内容之一.针对插秧机机器视觉导航中稻田图像秧苗与背景分割问题,建立了基于RGB(红绿蓝)颜色空间的秧苗表面颜色模型.通过颜色特征对秧苗图像进行处理,使用Photoshop软件获取秧苗部分和背景R,G,B分量值;通过对G-R值与G-B值的分析统计,发现两者之间存在分界关系:各自的权重与各分量的乘积之和为某个定值;为方便分析,选取权值a,b为0.5,即ExG因子,采用Otsu法获取定值最佳值,最大程度分割出目标和背景.与适合于大多数绿色作物的传统RGB法进行比较,并采用分割质量因子和算法运算时间作为评判标准,分析各算法的综合性能.试验发现,ExG因子结合Otsu分割法分割效果相对理想、稳定性更高,而且耗时更短.%The recognition of rice seedling is one of the significant parts of autonomous guidance for rice transplan-ting. Considering the segmentation of seedlings and remainder based on machine vision system, a simple dichromatic reflection model was established in RGB color space, which represented that the seedling could be recognized by u-sing its color feature. The values of R, G, B components of seedlings and remainder were obtained in Photoshop soft-ware respectively and analyzed statistically in order to get the relation between them. In order to simplify the compu-ting process, the weight values of a and b were set as 0. 5, ExG index and Otsu method (ExG+Otsu method) which could obtain the optimal threshold were combined to distinguish the seedlings and remainder well. The RGB method and previous ExG+Otsu method were carried out to compare their performance intuitively. Their comprehensive per-formance was evaluated with segmentation quality factor and time consuming. The results have proved that the latter for segmenting was more efficient, highly stable and timesaving.

  8. Vision Lab

    Data.gov (United States)

    Federal Laboratory Consortium — The Vision Lab personnel perform research, development, testing and evaluation of eye protection and vision performance. The lab maintains and continues to develop...

  9. Vision Screening

    Science.gov (United States)

    ... of Prematurity Strabismus Stye (defined) Vision Screening Vision Screening Recommendations Loading... Most Common Searches Adult Strabismus Amblyopia Cataract Conjunctivitis Corneal Abrasions Dilating Eye ...

  10. Support vector machines applications

    CERN Document Server

    Guo, Guodong

    2014-01-01

    Support vector machines (SVM) have both a solid mathematical background and good performance in practical applications. This book focuses on the recent advances and applications of the SVM in different areas, such as image processing, medical practice, computer vision, pattern recognition, machine learning, applied statistics, business intelligence, and artificial intelligence. The aim of this book is to create a comprehensive source on support vector machine applications, especially some recent advances.

  11. The Recognition of Face-Gear' s Tooth Surface based on the Theory of Machine Vision%基于计算机视觉的面齿轮齿面重构技术

    Institute of Scientific and Technical Information of China (English)

    冯美君; 佟勇

    2012-01-01

    As face-gear is used on aeronautical drives system, the advantages of the face-gear drives has been known by people and the research of the face-gear is deep going. Machine vision has the characteristics of high precision, fast speed, no-contact, the thesis has research the application of the machine vision measurement technique on the tooth surface reconstruction, the mathematic model of camera imaging is analyzed, 2D digital image of tooth surface is acquired by two cameras, computer is used to process image and reconstruct 3D coordinates of the key point on the surface of the face-gear and finally realize the reconstruction, this paper provides support for further machining of the face-gear.%随着面齿轮在航空传动系统上的应用,面齿轮传动的优点逐渐被人们认识,对面齿轮的研究也不断深入.计算机视觉检测技术具有检测精度高、实现速度快、非接触检测的特点,论文研究了计算机视觉测量技术在面齿轮齿面重构中的应用,建立了摄像机成像的数学模型,由摄像机获取齿轮齿面的二维图像,通过计算机对数字图像进行图像处理,计算出关键齿面点的三维坐标,实现面齿轮齿面的重构,为基于面齿轮实体的数字化加工奠定了基础.

  12. Mortality studies of machining fluid exposure in the automobile industry. IV: A case-control study of lung cancer.

    Science.gov (United States)

    Schroeder, J C; Tolbert, P E; Eisen, E A; Monson, R R; Hallock, M F; Smith, T J; Woskie, S R; Hammond, S K; Milton, D K

    1997-05-01

    Machining fluids are diverse products that contain numerous additives and contaminants, including polycyclic aromatic hydrocarbons. Studies treating machining fluids as an aggregate exposure have found both positive and negative associations with lung cancer. In this nested case-control study of automotive workers (667 cases and 3,041 matched controls), individual estimates of exposure quantity and duration for specific classes of machining fluids were derived. An inverse dose-response relationship was found between synthetic machining fluids and lung cancer mortality, with an odds ratio of 0.6 (95% CI = 0.4, 0.8) for the highest level of lifetime exposure. The relationship was strongest for recent exposures. There was little evidence of an association with soluble or straight oil machining fluids. Risks were inconsistently elevated in workers exposed to aluminum. Results from this study provide strong evidence that exposure to machining fluids is not associated with an increased risk of lung cancer mortality in automotive workers.

  13. Responding to Agenda 2020: A technology vision and research agenda for America`s forest, wood and paper industry

    Energy Technology Data Exchange (ETDEWEB)

    Lang, K.S.

    1995-03-01

    This document presents project summaries that demonstrate specific capabilities of interest to the forest, wood and paper industry in areas where PNL offers significant depth of experience or unique expertise. Though PNL possesses a wide range of capabilities across many of the technology-related issues identified by the industry, this document focuses on capabilities that meet the specific forest, wood and paper industry needs of the following research areas: forest inventory; human and environmental effects; energy and environmental tradeoffs; reduction of impacts of liquid effluent; solid wastes; removal of non-process elements in pulp and paper operations; life cycle assessment; and process measurement and controls. In addition, PNL can provide the forest, wood and paper industry with support in areas such as strategic and program planning, stakeholder communications and outreach, budget defense and quality metrics. These are services PNL provides directly to several programs within DOE.

  14. Servitization Development Route for Dalian Machine and Equipment Manufacturing Industry%大连装备制造业服务化发展路径探讨

    Institute of Scientific and Technical Information of China (English)

    王春芝; 严姗姗; 金亚南

    2011-01-01

    The current state of Dalian machine and equipment industry is analyzed.Problems concerning the transition of Dalian machine and equipment industry servitization are discussed based on the analysis of the international trend of the servitization developmen%结合制造业服务化发展的国际化趋势,制造企业服务管理的战略演进及其机理,对大连装备制造业服务化转型中存在的问题及原因进行解析论证;并对大连装备制造业服务化发展策略进行了相应的设计,以期为大连装备制造业的发展提供理论指导。

  15. Industrial sewing machine-based embedded controller hardware design%基于嵌入式的工业缝纫机控制器硬件设计

    Institute of Scientific and Technical Information of China (English)

    肖春华; 张洪涛

    2014-01-01

    Aiming at the actual situation of industrial sewing machine technology,this paper presents a scheme of ARM and FPGA technology based on the combination of hardware of special industrial sewing machine control system.The system uses ARM as the main processor,scheduling and management for each of the tasks in a system,to achieve human-computer interaction.%针对目前工业缝纫机技术实际情况,提出了一种基于ARM与FPGA技术相结合的特种工业缝纫机控制系统的硬件实现方案。该系统以ARM为主处理器,负责系统中各个任务的管理与调度,实现人机交互。

  16. Environmental and organizational factors associated with elbow/forearm and hand/wrist disorder among sewing machine operators of garment industry in Ethiopia.

    Science.gov (United States)

    Kebede Deyyas, Wakjira; Tafese, Ararso

    2014-01-01

    Occupational health problems related to upper limp musculoskeletal disorders were the major issue among sewing machine operators of garment industries in Ethiopia. The aim of this study was to assess the prevalence and associated risk factors of work related elbow and wrist musculoskeletal disorders among sewing machine operators of garment industries in Galan City, Oromia Regional State. A cross-sectional study was conducted from April 1 to 30, 2012. A total of 422 study subjects were included in this study. Standard Nordic Musculoskeletal Questionnaire was used to collect detailed information on musculoskeletal symptom, sociodemographic data, and factors associated with the problems through face to face interview. From a total of 422 sewing machine operators included in the study 370 (87.7%) were females and 306 (72.5%) were in the age group of 16 years of service were about five times more likely to develop elbow and wrist musculoskeletal disorders than those who had short (1-5 years) year of services [AOR = 4.7, 95% CI: 1.55-13.02], physical activities [AOR = 5.02, 95% CI: 1.57-16.00], and methods of payment [AOR = 2.01, 95% CI: 1.23-3.28], factors significantly associated with this disorders. Work related elbow and wrist musculoskeletal disorders were high among sewing machine operators in selected garment industries. Moreover, personal and environmental factors were identified as the potential risk factors related to elbow and wrist musculoskeletal disorders among the study group. Therefore, government and the owner of the garment industries should give special attention to prevent and control the problems through proper occupational health and safety policy implementation in the country.

  17. Environmental and Organizational Factors Associated with Elbow/Forearm and Hand/Wrist Disorder among Sewing Machine Operators of Garment Industry in Ethiopia

    Directory of Open Access Journals (Sweden)

    Wakjira Kebede Deyyas

    2014-01-01

    Full Text Available Occupational health problems related to upper limp musculoskeletal disorders were the major issue among sewing machine operators of garment industries in Ethiopia. The aim of this study was to assess the prevalence and associated risk factors of work related elbow and wrist musculoskeletal disorders among sewing machine operators of garment industries in Galan City, Oromia Regional State. A cross-sectional study was conducted from April 1 to 30, 2012. A total of 422 study subjects were included in this study. Standard Nordic Musculoskeletal Questionnaire was used to collect detailed information on musculoskeletal symptom, sociodemographic data, and factors associated with the problems through face to face interview. From a total of 422 sewing machine operators included in the study 370 (87.7% were females and 306 (72.5% were in the age group of 16 years of service were about five times more likely to develop elbow and wrist musculoskeletal disorders than those who had short (1–5 years year of services [AOR = 4.7, 95% CI: 1.55–13.02], physical activities [AOR = 5.02, 95% CI: 1.57–16.00], and methods of payment [AOR = 2.01, 95% CI: 1.23–3.28], factors significantly associated with this disorders. Work related elbow and wrist musculoskeletal disorders were high among sewing machine operators in selected garment industries. Moreover, personal and environmental factors were identified as the potential risk factors related to elbow and wrist musculoskeletal disorders among the study group. Therefore, government and the owner of the garment industries should give special attention to prevent and control the problems through proper occupational health and safety policy implementation in the country.

  18. New vision of the control organisms in industrial safety and maintenance, based approach to new pressure equipment; Nueva vision de los organismos de control en la seguridad industrial y mantenimiento en base al nuevo enfoque de equipos a presion

    Energy Technology Data Exchange (ETDEWEB)

    Bernardez Garcia, A.

    2010-07-01

    Control agencies are companies dedicated to the verification of compliance with the safety of products and facilities as administrative regulation in industrial safety through certification activities, testing, inspection or audit.Changes have been made that will stimulate the increase of companies engaged in this sector.

  19. Applying Machine Learning to Workers' Compensation Data to Identify Industry-Specific Ergonomic and Safety Prevention Priorities: Ohio, 2001 to 2011.

    Science.gov (United States)

    Meyers, Alysha R; Al-Tarawneh, Ibraheem S; Wurzelbacher, Steven J; Bushnell, P Timothy; Lampl, Michael P; Bell, Jennifer L; Bertke, Stephen J; Robins, David C; Tseng, Chih-Yu; Wei, Chia; Raudabaugh, Jill A; Schnorr, Teresa M

    2017-09-25

    This study leveraged a state workers' compensation claims database and machine learning techniques to target prevention efforts by injury causation and industry. Injury causation auto-coding methods were developed to code more than 1.2 million Ohio Bureau of Workers' Compensation claims for this study. Industry groups were ranked for soft-tissue musculoskeletal claims that may have been preventable with biomechanical ergonomic (ERGO) or slip/trip/fall (STF) interventions. On the basis of the average of claim count and rate ranks for more than 200 industry groups, Skilled Nursing Facilities (ERGO) and General Freight Trucking (STF) were the highest risk for lost-time claims (>7 days). This study created a third, major causation-specific U.S. occupational injury surveillance system. These findings are being used to focus prevention resources on specific occupational injury types in specific industry groups, especially in Ohio. Other state bureaus or insurers may use similar methods.

  20. 机器视觉在钢化玻璃缺陷检测中的应用研究%Application and Research of Machine Vision in Tempered Glass Defect Inspection

    Institute of Scientific and Technical Information of China (English)

    杨杰; 卢盛林; 赵晓芳

    2013-01-01

      在总结引发钢化玻璃产生自爆的原因的基础上,针对有缺陷玻璃和无缺陷玻璃的光学特性差异性和人工检测缺陷玻璃的局限性等问题,提出采用机器视觉技术对钢化玻璃的缺陷进行检测。首先分析了钢化玻璃缺陷检测的光学基本原理,然后给出了缺陷检测系统的基本结构设计,最后探讨了针对钢化玻璃自爆的机器视觉检测系统的技术要点。试验结果表明,利用机器视觉技术能够快速、可靠、准确地检测出含有缺陷的钢化玻璃,从而避免其在使用中出现自爆。%Based on the study of several facts that may cause self-broken of tempered glass,a machine vision inspection technology is a-dopted to detect the defects of the tempered glass for the limitations of manual inspection of defects in glass and the optical characteristic differences of defect glass and defect-free glass. First analyze the basic optical principles of the tempered glass defect detection,and then give the basic structure design of the defect detection system,finally the technical points of the machine vision inspection system in view of the self-broken of tempered glass are also mentioned. The test results show that the use of machine vision technology can detect the de-fects rapidly,reliably and accurately,avoiding the self-broken in using.

  1. THE EVALUATION OF EFFICIENCY OF THE USE OF MACHINE WORKING TIME IN THE INDUSTRIAL COMPANY – CASE STUDY

    Directory of Open Access Journals (Sweden)

    Edyta KARDAS

    2017-10-01

    Full Text Available In the paper the evaluation of efficiency of the use of machines in the selected production company was presented. The OEE method (Overall Equipment Effectiveness was used for the analysis. The selected company deals with the produc-tion of tapered roller bearings. The analysis of effectiveness was done for 17 automatic grinding lines working in the department of grinding rollers. Low level of efficiency of machines was affected by problems with the availability of ma-chines and devices. The causes of machine downtime on these lines was also analyzed. Three basic causes of downtime were identified: no kanban card, diamonding, no operator. Ways to improve the use of these machines were suggested. The analysis takes into account the actual results from the production process and covers the period of one calendar year.

  2. 特种工业缝纫机控制系统设计及实现%Design and implementation of special industrial sewing machine control system

    Institute of Scientific and Technical Information of China (English)

    祝本明; 陈军; 窦琴

    2016-01-01

    According to the special industrial sewing machine gradually to the high precision , high speed of professional development needs, designed a model based on ARM+DSP+SOC special industrial sewing machine control system , which integrates the system power、Motion Control Card、AC servo drive、3-in-1 stepper drive、ARM motherboard such as function modules. Integrated application ARM、DSP、FPGA such as embedded technology,realized on the special industrial sewing machine sewing machine of high-speed, high precision motion control,with expansion function advantages of quick, convenient operation and high cost performance, the main technical index has reached the international advanced level.%针对特种工业缝纫机逐渐向高精度、高速度的专业化发展需求,设计了一款以基于ARM+SOC+DSP特种工业缝纫机控制系统,该方案集成了系统电源、运动控制板、交流伺服驱动器、三轴合一步进驱动器、ARM主板等功能模块。该控制系统综合应用ARM、DSP、SOC等嵌入式技术,实现了对特种工业缝纫机缝纫机的高速、高精度运动控制,具有扩张功能快捷、操作方便、性价比高等优点,主要技术指标达到国际先进水平。

  3. Mechatronics in the mining industry. Modelling of underground machines; Mechatronik im Bergbau. Modellbildung von Untertage-Maschinen

    Energy Technology Data Exchange (ETDEWEB)

    Bruckmann, Tobias; Brandt, Thorsten [mercatronics GmbH, Duisburg (Germany)

    2009-12-17

    The development of new functions for machines operating underground often requires a prolonged and cost-intensive test phase. Precisely the development of complex functions as occur in operating assistance systems, for example, is highly iterative. If a corresponding prototype is required for each iteration step of the development, the development costs will, of course, increase rapidly. Virtual prototypes and simulators based on mathematical models of the machine offer an alternative in this case. The article describes the same principles for modelling the kinematics of underground machines. (orig.)

  4. Evolution and prospects of Spanish chemical sector. An overview from its Industrial Observatory; Evolucion y perspectivas del sector quimico espanol. Vision desde su observatorio industrial

    Energy Technology Data Exchange (ETDEWEB)

    Collado Bravo, J.; Sanchez Sanchez, F.

    2012-07-01

    The Industrial Observatory of the Chemical Sector was created in 2005 in order to follow the evolution of the Spanish chemical sector and to improve the competitiveness of the chemical companies operating in Spain. For this sector and its evolution over the years, know their main problems and the actions can be undertaken to solve or minimize them and, ultimately, learn how improve its competitiveness, the Industrial Observatory of the Chemical Sector is a good source of information. This article analyzes the Spanish chemical sector and its evolution in the period 2003-2010 using the field and the data produced within the Observatory, and then to state, through competitive factors discussed in it, what are the main measures proposed to improve the chemical sector. (Author)

  5. Abdominal respiration expression of side-view single pig based on machine vision%基于机器视觉的单侧视猪腹式呼吸表达

    Institute of Scientific and Technical Information of China (English)

    马丽; 纪滨

    2012-01-01

    为了监测猪的呼吸急促,引入机器视觉技术构建单侧视猪的腹式呼吸表达。根据猪腹式呼吸时脊腹部分呈起伏的特点,从视频帧的猪轮廓图像中提取形心,确定感兴趣的脊腹线段,然后在垂直方向提取脊线与腹线的截距,接着,构建脊腹线截距描述子(RACID)作为度量脊腹轮廓波动的指标,最后,根据帧序列中随时间变化的RACID,得到猪腹式呼吸表达。逐段检测猪视频腹式呼吸频次,实验结果显示机器法和人工法相关系数为98.23%。%To monitor the tachypnea of pigs, the machine-vision is introduced to construct a model on the pig's abdominal respiration. Firstly, according to the marked dilating and shrinking at ridge-abdomen of pigs, tworidge-abdomen profile segments are ensured based on the centroid of pig's contour. Secondly, the intercepts between both segments are obtained in vertical direction. Thirdly, Ridge-Abdomen Contour Intercept Descriptor (RACID) is created as an index of the fluctuating ones. Finally, the pig abdominal breathing expression is created according to the varying RACID over time. The frequency of the pig abdominal respiration was respectively obtained by the machine-vision method and the artificial method. Experiments showed that the correlation coefficient between the two methods is 98.23%.

  6. Machine vision based evaluation of impact of light emitting diodes (LEDs) on shoot regeneration and the effect of spectral quality on phenolic content and antioxidant capacity in Swertia chirata.

    Science.gov (United States)

    Dutta Gupta, S; Karmakar, A

    2017-09-01

    The present study demonstrates the influence of LED irradiance of various wavelengths on shoot regeneration, biomass accumulation, photosynthetic pigment contents, and antioxidant potentials of Swertia chirata - a critically endangered medicinal plant. Mixed treatment of blue (BL) and red LEDs (RL) in equal proportion (1:1) significantly improved the shoot regeneration response. A machine vision system was developed to assess the shoot regeneration potential under different lighting treatments. Regenerated shoots exposed under BL:RL (1:1) exhibited higher biomass accumulation and canopy development compared to other lighting treatments. Improved canopy growth was evident from the increase in the area, major axis, minor axis, convex area, equivalent diameter and perimeter of regenerated shoot clusters. A higher correlation of dry weight (DW) was noted with the image feature, weighted density (WD) than the fresh weight (FW) in all the LED treated cultures. The significant correlation between DW and WD implies that the image feature WD can be adopted as a non-invasive approach for measuring biomass accumulation as well as detecting hyperhydricity. The developed machine vision approach provides a new direction in the evaluation of shoot organogenesis that displayed features including both shoot multiplication and canopy development. Chlorophyll and carotenoid contents of the regenerated shoots were found to be higher under BL:RL (1:1) than the other treatments. Supplementation of RL led to a reduction in the pigment contents. Spectral quality of lights also significantly influenced the accumulation of total phenolics, flavonoids and flavonols. Cultures exposed under BL exhibited the maximum accumulation of polyphenols. A similar effect of spectral quality was observed with the antioxidant capacity and reducing power potential of leaf extract. The findings demonstrate the ability of LEDs in inducing shoot regeneration as well as accumulation of phenolic antioxidants and

  7. 基于机器视觉的半球面微小孔位置的精密测量系统%A Machine Vision System for Position Measurement of Small Holes on Spherical Surface

    Institute of Scientific and Technical Information of China (English)

    黄劼; 许斌

    2016-01-01

    针对精密零件的半球表面上微小功能孔的位置测量需求,研制了一套基于二维扫描机构、图像获取单元和精密隔振工作台的机器视觉测量系统.本文提出了基于二维正交旋转扫描测量微小孔孔间位置的理论方法和数学模型,探讨了在图像处理过程中小孔边缘的提取算法以及小孔空心位置的计算方法.为了验证测量系统对半球面微小孔位置的测量能力,实验中选用了半球面半径为60 mm、小孔半径为2 mm的工件作为测量对象;利用光学准直仪验证了小孔位置的测量重复性和测量精度等性能指标,实验结果显示测量重复性误差为1.0″和1.4″,在微孔位置测量偏差的极大值为2.13″和4.13″.%This paper presents a machine vision system for the position measurement of small holes fabri-cated on a spherical surface.The machine vision system consists of two rotation stages to rotate the meas-urement sample, an imaging sensor to scan the surface profile of the small hole under detection and a vi-bration-isolation table to reduce the disturbance of the measurement environment.In this paper, the ap-proach to measuring the spatial position of small holes was firstly introduced based on the method of or-thogonal rotary scanning.Due to that the image quality around the hole edge was influenced by the ma-chining defects and machining marks, the image processing algorithm to search the hole edge and to de-termine the hole centre was described in detail.Then, to verify the feasibility of the machine vision sys-tem, the position measurement of a hemispherical artifact, of which the radius was 60 mm and on which the surface was fabricated with small holes with radius of 2 mm, was carried out.Furthermore, the meas-urement repeatability of the spatial position of small holes was experimentally investigated, and the meas-urement accuracy of that was also studied by an optical autocollimator.Experimental result indicates that the

  8. Design and Implementation of Gesture Recognition System Based on Machine Vision%基于机器视觉的手势识别系统设计与实现

    Institute of Scientific and Technical Information of China (English)

    刘德强

    2015-01-01

    机器视觉的手势识别系统,采用FPGA驱动摄像头OV7650采集视频图像,通过控制FT245RL实现与PC机之间的高速数据传输,在PC机上有运用OpenCV视觉库简单快速的识别手势,避免了高难度算法编程.通过大量实验验证,该系统开发周期短,识别率高.%This article describes the gesture recognition system based on machine vision.The system uses FPGA driven OV7650 camera to capture video images,through controlling FT245RL to achieve high-speed data transfer between PC and FT245RL.Using the simple and rapid identification gestures of OpenCV vision library on PC can avoid the difficult algorithmic programming.A large number of experiments show that the system development cycle is short and recognition rate is high.

  9. 机器视觉技术在卷烟纸剩余量控制中的运用%Applioation of Machine Vision Technology in Control of Cigarette Paper Remnant

    Institute of Scientific and Technical Information of China (English)

    邓春宁

    2015-01-01

    为解决卷烟机自动搭接过程中卷烟纸剩余量过大的问题,利用机器视觉检测技术对生产过程中的卷烟纸剩余量进行精确测量,在最小剩余量的情况下启动卷接纸的自动搭接程序,有效降低了卷烟纸的消耗,可推广到卷烟生产过程中所有卷筒类的辅料自动搭接控制过程中。%To solve the problem of excessive cigarette paper during the process of cigarette machine automatic splice,the machine vision technology is used to accurately measure the cigarette paper remnant during the production. The automatic splice program is started in the case of the minimum remaining amount to effectively reduce the consumption of cigarette paper. It can be applied to al rol class materials automatic splice systems of cigarette manufacturing.

  10. Induction machine handbook

    CERN Document Server

    Boldea, Ion

    2002-01-01

    Often called the workhorse of industry, the advent of power electronics and advances in digital control are transforming the induction motor into the racehorse of industrial motion control. Now, the classic texts on induction machines are nearly three decades old, while more recent books on electric motors lack the necessary depth and detail on induction machines.The Induction Machine Handbook fills industry's long-standing need for a comprehensive treatise embracing the many intricate facets of induction machine analysis and design. Moving gradually from simple to complex and from standard to

  11. 机器视觉技术在烟箱缺条检测中的应用%Application of Machine Vision Technology in Detection of Lacking Carton of Cigarettes during Case-packing

    Institute of Scientific and Technical Information of China (English)

    董鸿江; 赵日峰

    2011-01-01

    The auto case-packing plays an important role in the production of cigarettes. The lacking carton of cigarettes in the case-packing process may result in line or row vacancy, which will cause reputation lapse and serious quality problems. At present, the mature methods, including eddy current, weighing and radiographic detection, all have their own shortcomings. The machine vision detection technique is widely used in the modern cigarette production due to its superiorities, such as low cost, mature technique and strong applicability. The machine vision technique was used in detecting the lacking carton in the case-packing process of cigarettes, which have positive and important significance in removing the hided quality problems, maintaining and increasing the the enterprise reputation. Based on the existing machines and techniques, the system for detecting the lacking carton in the case-packing process of cigarettes was successfully developed and its reliability was also tested in practice.%在卷烟生产过程中,自动装箱是一道重要的工序,在装箱过程中可能产生漏装导致缺条、缺排现象,造成严重的质量问题.目前比较成熟的检测方法有涡流、称重和射线检测等,但都存在不同程度的缺陷.机器视觉检测技术在现代卷烟生产过程中具有日益广泛的应用,其具有费用低、检测技术成熟、适用性强等优点.在此将机器视觉技术应用到装箱机缺条检测中,对于消除产品质量隐患、提高生产可靠性和维护企业信誉具有十分重要的意义.依据现有的生产机械设备和技术手段,成功开发了卷烟生产过程中的烟箱缺条检测系统,并在生产实践中检验了其可靠性.

  12. 基于机器视觉的种薯自动切块机设计%Design of Automatic Cutter for Potato Used as Seeds Based on Machine Vision

    Institute of Scientific and Technical Information of China (English)

    邢作常; 田素博; 刘思瑶; 白雪卫; 张祖立

    2016-01-01

    现阶段中国市场没有成熟的种薯切块机,薯农主要依靠手工切块。其主要原因是种薯切削需要控制切削位置以保留薯芽的顶端优势,普通机器不能识别薯芽,并控制切刀切削方位。为此,使用数字图像处理技术,实现了薯芽及其位姿的实时识别,开发了相应的控制系统,设计了基于机器视觉的薯种自动切块机。试验表明:薯芽识别正确率达100%,位姿识别正确率达98.5%,耗时107.431ms,满足使用要求。%There is not mature cutter for potato used as seeds in Chinese market at the present .Potato farmers rely mainly on manual cutting .The main reason is that potato cutting used as a seed need to control the cutting position to keep pota-to bud advantage , ordinary machine cannot identify potato bud , and controls the cutter cutting position .Using image pro-cessing technology , the potato bud and its posture real-time identification is realized , the corresponding control system is developed , and the automatic cutting machine is designed based on machine vision .Tests show that potato bud recogni-tion accuracy reaches 100%, posture recognition accuracy reaches 98 .5%, takes 107 .431 ms .it meets the require-ment.

  13. Computational vision

    CERN Document Server

    Wechsler, Harry

    1990-01-01

    The book is suitable for advanced courses in computer vision and image processing. In addition to providing an overall view of computational vision, it contains extensive material on topics that are not usually covered in computer vision texts (including parallel distributed processing and neural networks) and considers many real applications.

  14. "A WAR OF MACHINERY”: the British Machine Tool Industry and Arming the Western Front, 1914-1916

    Directory of Open Access Journals (Sweden)

    Roger Lloyd-Jones

    2008-01-01

    Full Text Available According to David Lloyd George, Britain’s first Minister of Munitions, World War L “the Great War” was a “war of machinery,” and required unprecedented supplies of ammunition and the machine tools necessary to make them. In the early phase of the conflict, when the importance of machine tools was not fully recognized, a shortage of ammunition on the western front precipitated a military and political crisis, and led to the formation of the Ministry of Munitions. A trade-off between quantity and quality of ammunition shell (the machined outer metal casing was a product of the Ministry directive to increase output as both makers and users of machine tools came under intense pressure to reach their goals. British engineering achieved huge increases in ammunition output in preparation for the Somme offensive, but the complexities of the supply chain meant that makers and users of machine tools put them to use to make ammunition of a type and quality that was to prove defective.

  15. Artificial vision workbench.

    Science.gov (United States)

    Frenger, P

    1997-01-01

    Machine vision is an important component of medical systems engineering. Inexpensive miniature solid state cameras are now available. This paper describes how these devices can be used as artificial retinas, to take snapshots and moving pictures in monochrome or color. Used in pairs, they produce a stereoscopic field of vision and enable depth perception. Macular and peripheral vision can be simulated electronically. This paper also presents the author's design of an artificial orbit for this synthetic eye. The orbit supports the eye, protects it, and provides attachment points for the ocular motion control system. Convergence and image fusion can be produced, and saccades simulated, along with the other ocular motions. The use of lenses, filters, irises and focusing mechanisms are also discussed. Typical camera-computer interfaces are described, including the use of "frame grabbers" and analog-to-digital image conversion. Software programs for eye positioning, image manipulation, feature extraction and object recognition are discussed, including the application of artificial neural networks.

  16. Research of the Brake Parking Problem of Industrial Sewing Machine System%工业缝纫机系统制动停车问题研究

    Institute of Scientific and Technical Information of China (English)

    边淳; 郗晓田; 文小琴; 游林儒

    2012-01-01

    order to improve the efficiency of industrial sewing machine system based on brushless dc motor control, simplified brake method and simplify the brake method, this paper put forward a new kind of reversing lock brake parking control method about the brushless dc motor control industrial sewing machine system. This method analyzed from the two aspects of speed and braking, PI speed control method is used, detecting needle position signal for reversing locking brake, and demonstrated the feasibility of this control method in theory. Finally, presents a practical control rendering. Practice proves that the method has achieved good effect, met the control requirements of the industrial sewing machine system and improves the dynamic performance of the system.%为提高基于直流无刷电机控制的工业缝纫机系统的制动效率、简化制动方法,提出了一种新型的基于无刷直流电机控制的工业缝纫机系统换向锁定制动停车控制方法.该方法从调速、制动两方面人手,采用PI调节降速,通过检测停针位信号进行换向锁定制动.同时从理论方面分析论证了该控制方法的可行性,并给出了实际的控制效果图.实践证明:该方法取得了良好的控制效果,完全满足工缝机系统的控制要求,提高了系统的性能.

  17. 工业缝纫机控制系统设计%Design of Control System for Industrial Sewing Machine Based on PMSM

    Institute of Scientific and Technical Information of China (English)

    刘登; 李辉; 孙永奎

    2011-01-01

    The control system design and implementation of PMSM used on Industrial Sewing Machine was introduced in this paper. It features that the Hall signal was used to estimate the position of the rotor and speed of the motor, and on this basis to achieve the sinusoidal control of PMSM. The main structure of the pardware platform was set up by dsPIC33FJ16MC304 and IPM,and the SVPWM and PID were used in the software to satisfy the requirements of industrial sewing machine. Experimental results show that the system is of lower cost, better performance and can meet the requirements of industrial sewing machine with high power density,wide speed range and good dynamic performance.%介绍了一套基于永磁同步电机的工业缝纫机控制系统的设计与实现,该系统特点是以霍尔信号对转子的位置和电机的速度进行估算,并在此基础上实现对永磁同步电机的正弦控制.硬件采用dsPIC33FJ16MC304和智能功率模块相搭配的主体结构,软件以空间矢量算法和PID算法相结合的控制策略实现工业缝纫机的各种功能要求.实验表明:该系统成本低、性能好,可满足工业缝纫机功率密度高、速度范围大,动态性能好等技术指标.

  18. Advanced Analysis of Nontraditional Machining

    CERN Document Server

    Tsai, Hung-Yin

    2013-01-01

    Nontraditional machining utilizes thermal, chemical, electrical, mechanical and optical sources of energy to form and cut materials. Advanced Analysis of Nontraditional Machining explains in-depth how each of these advanced machining processes work, their machining system components, and process variables and industrial applications, thereby offering advanced knowledge and scientific insight. This book also documents the latest and frequently cited research results of a few key nonconventional machining processes for the most concerned topics in industrial applications, such as laser machining, electrical discharge machining, electropolishing of die and mold, and wafer processing for integrated circuit manufacturing. This book also: Fills the gap of the advanced knowledge of nonconventional machining between industry and research Documents latest and frequently cited research of key nonconventional machining processes for the most sought after topics in industrial applications Demonstrates advanced multidisci...

  19. Analysis on Application and Research Progress of Machine Vision in Agriculture in China%机器视觉在我国农业中的应用研究进展分析

    Institute of Scientific and Technical Information of China (English)

    王风云; 郑纪业; 唐研; 刘延忠; 李乔宇; 穆元杰; 王磊

    2016-01-01

    随着图像处理、模式识别、人工智能等技术的不断发展,机器视觉技术在我国农业上的研究逐步深入,并取得了许多重要成果。本文基于中国知网全文数据库检索系统,对我国基于机器视觉的农业研究进行了博、硕士学位论文与期刊论文的统计、分析。结果显示,我国农业机器视觉研究主要涉及检测、图像处理、轨迹跟踪与车辆导航、模式识别及其应用等主题,主要集中在图像信息获取方法、图像处理与识别算法、智能导航算法以及系统集成应用等方面,以《农机化研究》、《农业工程学报》和《农业机械学报》为主要发表刊物,主要受国家自然科学基金、国家高技术研究发展计划(“863”计划)、国家科技支撑计划、省科技攻关计划、省自然科学基金等项目支持,国内研究机构以中国农业大学、南京农业大学、浙江大学、华南农业大学、山西农业大学和江苏大学为主。但目前我国基于机器视觉的农业研究在作物生长信息检测、杂草识别、变量控制、机械智能导航、采摘与分选等方面离实用化、商品化仍有一定的距离,集成符合我国农业发展实际的机器视觉技术系统将是今后重要的研究方向。本研究为机器视觉在我国农业上的进一步应用研究提供了参考。%The research on machine vision technology in agriculture in China is gradually deepened with the development of image processing,pattern recognition and artificial intelligence technologies.Many a-chievements have been obtained.Based on the full -text database retrieval system of CNKI (China National Knowledge Infrastructure),the statistical analysis is carried out on dissertations and journal articles to study the research progress of machine version in agriculture.It was summarized that the main research topics in-cluded vision measuring,image processing,trajectory tracking

  20. The reported incidence of man-machine interface issues in Army aviators using the Aviator's Night Vision System (ANVIS) in a combat theatre

    Science.gov (United States)

    Hiatt, Keith L.; Rash, Clarence E.

    2011-06-01

    Background: Army Aviators rely on the ANVIS for night operations. Human factors literature notes that the ANVIS man-machine interface results in reports of visual and spinal complaints. This is the first study that has looked at these issues in the much harsher combat environment. Last year, the authors reported on the statistically significant (p89,000 flight hours of which >22,000 were with ANVIS) participated. Analysis demonstrated high complaints of almost all levels of back and neck pain. Additionally, the use of body armor and other Aviation Life Support Equipment (ALSE) caused significant ergonomic complaints when used with ANVIS. Conclusions: ANVIS use in a combat environment resulted in higher and different types of reports of spinal symptoms and other man-machine interface issues over what was previously reported. Data from this study may be more operationally relevant than that of the peacetime literature as it is derived from actual combat and not from training flights, and it may have important implications about making combat predictions based on performance in training scenarios. Notably, Aircrew remarked that they could not execute the mission without ANVIS and ALSE and accepted the degraded ergonomic environment.

  1. Electrical machines mathematical fundamentals of machine topologies

    CERN Document Server

    Gerling, Dieter

    2015-01-01

    Electrical Machines and Drives play a powerful role in industry with an ever increasing importance. This fact requires the understanding of machine and drive principles by engineers of many different disciplines. Therefore, this book is intended to give a comprehensive deduction of these principles. Special attention is given to the precise mathematical derivation of the necessary formulae to calculate machines and drives and to the discussion of simplifications (if applied) with the associated limits. The book shows how the different machine topologies can be deduced from general fundamentals, and how they are linked together. This book addresses graduate students, researchers, and developers of Electrical Machines and Drives, who are interested in getting knowledge about the principles of machine and drive operation and in detecting the mathematical and engineering specialties of the different machine and drive topologies together with their mutual links. The detailed - but nevertheless compact - mat...

  2. Sociologie du travail et critique du temps industriel The Sociology of Labor and a critical vision of industrial Time

    Directory of Open Access Journals (Sweden)

    Jens Thoemmes

    2009-07-01

    Full Text Available La sociologie du travail a développé un point de vue particulier sur l'analyse des temporalités sociales. L'objectif de cet article est de montrer l'élaboration progressive d'une critique d'un temps industriel unique et unifiant. Cette critique s'appuie sur trois éléments : la multiplicité des temporalités de l’activité professionnelle, le caractère déstructurant du travail industriel et l'émergence d'un temps des loisirs. Ce point de vue a été élaboré par la sociologie du travail en France après 1945, notamment par Georges Friedmann, Pierre Naville et William Grossin.  Avant d’aborder cette période nous voudrions  interroger le moment de la fondation de la sociologie. En mobilisant des travaux peu connus de Max Weber sur le travail, nous verrons en quoi il est un précurseur de l’analyse des attitudes diversifiées des individus et des collectifs à l’égard du temps. Cette perspective lie, dès les premières enquêtes sociologiques, le travail industriel à une interrogation sur les temporalités.The sociology of work and labor developed a particular viewpoint on the analysis of social times. The objective of this article is to show how a criticism of a unique and unifying industrial time progressively grew up. Such criticism leans on three elements: the multiplicity of social times linked to the occupational activity, the disintegrating nature of work in the manufacturing process and the emergence of leisure-time. This point of view was elaborated by the sociology of work in France after 1945, notably by Georges Friedmann, Pierre Naville and William Grossin. Before approaching this period we question the moment of the foundation of sociology. By mobilizing little known research by Max Weber on the manufacturing process, we shall see in what way he was a precursor of the analysis of diversified attitudes regarding time by individuals and groups.

  3. Embedded computer vision

    CERN Document Server

    Kisacanin, Branislav

    2008-01-01

    Brings together experiences from researchers in the field of embedded computer vision, from both academic and industrial research centers, and covers a broad range of challenges and trade-offs brought about by this paradigm shift. This title offers emphasis on tackling important problems for society, safety, security, health, and mobility.

  4. Visual Servoing of a Conventional CNC Machine Using an External Axis Controller

    Directory of Open Access Journals (Sweden)

    Daniel Hanafi

    2003-04-01

    Full Text Available This paper presents the implementation of an external axis control system on a conventional CNC machine so that the machine can be actively controlled in response to sensors such as vision and force. The controller that runs on an external computer has direct access to the CNC controller for machine position sensing. The control signals to the machine are sent through purpose built circuitry via the machine's manual pulse generator (MPG inputs. To demonstrate the accuracy and performance of the control system, it was used to visually track the profile of a mandrel used for shear spinning. The implemented system eliminates the parallax error and the need to use an accurate pixel resolution. The raw tracking data is processed by a curvature detection algorithm that detects linear and circular segments and segment transitions. The results show that the visual tracking system provides accurate tracking results that are well within the tolerances used in the industry.

  5. Living with vision loss

    Science.gov (United States)

    Diabetes - vision loss; Retinopathy - vision loss; Low vision; Blindness - vision loss ... Low vision is a visual disability. Wearing regular glasses or contacts does not help. People with low vision have ...

  6. 新型SVPWM算法在工业缝纫机中的应用%Application of new SVPWM method in the industry sewing machine

    Institute of Scientific and Technical Information of China (English)

    彭惠; 何明华; 王英俊; 林东

    2012-01-01

    设计了基于新型SVPWM算法(空间矢量脉宽调制算法)的高性能工业缝纫机系统方案。首先通过对控制系统中新型SVPWM算法的分析,利用MATLAB/Simulink软件对该系统进行了全面的仿真分析。所得的仿真结果与理论分析结果一致,验证了该设计方案的可行性。然后针对工业缝纫机,设计了基于DSP TMS320F2812的实际系统。系统采用一定的控制策略,实现了调速及准确定位等功能。实验表明该系统转矩脉动小,机械噪声低,动态响应较好,满足缝纫机的性能要求。%System program of new SVPWM (space vector pulse width modulation) for high-performance industry sewing machine is presented. Firstly by analyzing the theory of new SVPWM in the system,the system is simulated and analyzed fully and practically by means of MATLAB/Simulink. The validity of the proposed technique is verified by simulation results, which is consistent with the theoretical results. Then in allusion to industry sewing machine,the real control system is programmed based on the DSP TMS320F2812. The performance of speed adjustment and position location is achieved by using some regulators in the system. The experimental results show that the system has small torque pulsation, low mechanical noise and good dynamic response and it can satisfy the performance requirement of the sewing machine.

  7. Moving Obstacle Detection Based on Machine Vision for Agricultural Mobile Robot%基于机器视觉的农业机器人运动障碍目标检测

    Institute of Scientific and Technical Information of China (English)

    周俊; 程嘉煜

    2011-01-01

    The robotic ego-motion and the motion of moving obstacle were overlapped when an agricultural mobile robot need to detect the moving obstacle based on machine vision. So two images were taken from the mobile robot and the Harris feature points were extracted and matched. Then a bilinear model was applied to model the movement between the two images, and a least square optimization method was used to calculate the model parameters. A transformation matrix was obtained with this model to compensate the first image to eliminate the effect of the ego-motion of the mobile robot. Finally, a frame difference between the compensated image and the second image was carried out to detect the moving obstacle in the environment. Experimental results showed that this algorithm could eliminate the image movement caused by the ego-motion of the mobile robot, and the moving obstacles were able to be detected effectively with machine vision for the agricultural mobile robot.%在农业移动机器人平台上运用机器视觉技术检测作业环境中是否存在运动障碍目标时,机器人自身运动会与障碍目标运动叠加在一起.为此,首先在移动机器人平台上连续采集两帧图像,提取其特征点并加以匹配;然后应用双线性模型描述对应特征点在图像之间的运动特性,并用最小二乘法对模型参数进行最优估计,得到两帧图像之间的变换矩阵;最后利用此变换矩阵补偿前帧图像来消除机器人自身运动的影响,再与后帧图像作帧差,在线检测出运动障碍目标.实验结果表明,该方法仅依据图像信息即可有效地检测出农业机器人导航环境中存在的运动障碍目标.

  8. Factor substitution in the paper industry within the context of the introduction of machine tax and energy tax; Faktorsubstitution in der Papierindustrie bei Einfuehrung von Maschinen- und Energiesteuern

    Energy Technology Data Exchange (ETDEWEB)

    Lang, G.

    1991-05-01

    The cellulose-, wood pulp- paper- and cardboard industry is supposed to be one of the most capital-intensive industries within the national economy; the capital investment per gainfully employed person was 258.000 DM in 1980 whereas it was only 108.000 DM in the processing industries. But next to capital energy is a large factor in paper manufacturing: processing industries used about 153 kg coal equivalent per 1000,- DM in 1980, the paper industry used 702 kg. This booklet attempts to analyse the manufacturing relations and find possibilities to substitute between the input factors labour, capital, energy and other intermediate inputs. This is to be the basis for te paper industry`s reaction to the introduction of a machine tax and higher taxes on energy. The attempt to see energy as an input factor is an extension of the small amount of work on a disaggregated level for the West German processing industry. (orig./UA). [Deutsch] Die Zellstoff-, Holzschliff-, Papier- und Pappeerzeugende Industrie gilt als einer der kapital-intensivsten Wirtschaftsbereiche der Volkswirtschaft: auf jeden Erwerbstaetigen kam im Jahr 1980 ein Kapitaleinsatz von 258.000 DM, waehrend es im gesamten Verarbeitenden Gewerbe lediglich 108.000 DM waren. Neben dem Inputfaktor Kapital wird der Produktionsfaktor Energie in hohem Masse in der Papierproduktion eingesetzt: das Verarbeitende Gewerbe setzte in jenem Jahr insgesamt durchschnittlich 153 kg SKE pro 1000,- DM Bruttowertschoepfung im Produktionsprozess ein, die Papierindustrie jedoch 702 kg. Diese ueberdurchschnittliche Bedeutung von Energie und Kapital zeigt die hohe Betroffenheit dieser Branche von zwei wirtschaftpolitischen Ueberlegungen: die Forderung nach der Einfuehrung von `Maschinensteuern` und `Oekosteuern`. Die vorliegende Ausarbeitung setzt sich zum Ziel, ueber die Analyse der Produktionsbeziehungen Substitutionsmoeglichkeiten zwischen den Inputfaktoren Arbeit, Kapital, Energie und Sonstige Vorleistungen abzuschaetzen. Auf

  9. Automated science target selection for future Mars rovers: A machine vision approach for the future ESA ExoMars 2018 rover mission

    Science.gov (United States)

    Tao, Yu; Muller, Jan-Peter

    2013-04-01

    The ESA ExoMars 2018 rover is planned to perform autonomous science target selection (ASTS) using the approaches described in [1]. However, the approaches shown to date have focused on coarse features rather than the identification of specific geomorphological units. These higher-level "geoobjects" can later be employed to perform intelligent reasoning or machine learning. In this work, we show the next stage in the ASTS through examples displaying the identification of bedding planes (not just linear features in rock-face images) and the identification and discrimination of rocks in a rock-strewn landscape (not just rocks). We initially detect the layers and rocks in 2D processing via morphological gradient detection [1] and graph cuts based segmentation [2] respectively. To take this further requires the retrieval of 3D point clouds and the combined processing of point clouds and images for reasoning about the scene. An example is the differentiation of rocks in rover images. This will depend on knowledge of range and range-order of features. We show demonstrations of these "geo-objects" using MER and MSL (released through the PDS) as well as data collected within the EU-PRoViScout project (http://proviscout.eu). An initial assessment will be performed of the automated "geo-objects" using the OpenSource StereoViewer developed within the EU-PRoViSG project (http://provisg.eu) which is released in sourceforge. In future, additional 3D measurement tools will be developed within the EU-FP7 PRoViDE2 project, which started on 1.1.13. References: [1] M. Woods, A. Shaw, D. Barnes, D. Price, D. Long, D. Pullan, (2009) "Autonomous Science for an ExoMars Rover-Like Mission", Journal of Field Robotics Special Issue: Special Issue on Space Robotics, Part II, Volume 26, Issue 4, pages 358-390. [2] J. Shi, J. Malik, (2000) "Normalized Cuts and Image Segmentation", IEEE Transactions on Pattern Analysis and Machine Intelligence, Volume 22. [3] D. Shin, and J.-P. Muller (2009

  10. 基于机器视觉技术的智能停车管理系统的研究%Research on intelligent parking management system based on machine vision

    Institute of Scientific and Technical Information of China (English)

    王冰洋; 张崎

    2012-01-01

    In order to solve the surge of the parking space and capacity expansion, the application of machine vision technology has great significance to improve development of intelligent transportation. This paper provides an implement method, including vehicle detection module, license plate recognition module, parking detection module and vehicle tracing module of intelligent parking system. The vehicle detection module, license plate recognition module, and parking detection module in the system go through system testing, and get a reasonable result.%基于机器视觉技术的智能停车管理系统的研究是为了解决城市停车场激增、停车管理效率低下而涉及的一种智能交通系统的应用发展领域.现提出了一种由车辆检测模块、车牌识别模块、车位查询模块及车辆跟踪模块所构成的智能停车场管理系统,并对其中的车牌定位检测及识别以及车位查询模块进行了相应测试,结果较为合理.

  11. Automatic Defect lnspection of PCB Based on Machine Vision Technology%基于机器视觉技术的印制电路板自动检测研究

    Institute of Scientific and Technical Information of China (English)

    汤宏亮

    2015-01-01

    ln this paper,applying to image acquisition,image processing,image recognition to design a printed circuit board defects automatic detection system based on machine vision technology,in which the image processing software as part of the core of this issue,focusing on the key functional modules include Grayhound image filtering,image sharpening,im-age recognition several parts design and programming,and complete visual C ++ based visual programming dialog.%通过图像采集、图像处理、图像识别设计一套基于机器视觉技术的印刷电路板缺陷的自动检测系统,其中图像处理软件部分作为该课题的核心,着重研究了其关键功能模块包括图像灰度化、图像滤波、图像锐化、图像识别几个部分设计与编程,并完成Visual C++基于对话框的可视化编程。

  12. Measurement System of Quartz Mound's Vertical Status Based on Machine Vision Technique%基于机器视觉技术的石英砣垂直状态测量系统

    Institute of Scientific and Technical Information of China (English)

    邓彬; 于洪明; 王明昱; 李硕

    2014-01-01

    This paper introduces an auto inspection system of quartz mound's vertical status based on machine vision technique. The system of image acquisition, processing and controlling is composed of image sensors of array CCD (type:MINTRON 220X) and image acquisition card ( type: OKMC10A) . The system overcomes disadvantages of inefficiency by personal inspection and the low-level of precision. The accuracy of measurement, production efficiency and automaticity are improved greatly by this system.%介绍了基于机器视觉技术的石英砣垂直状态自动检测系统。以面阵CCD 型号为MINTRON 220 X 及OKMC10 A采集卡为核心器件构成的图像采集、处理及控制系统,克服了人工视觉测量效率低、精度不高等缺点,大大提高了企业的生产效率和自动化程度。

  13. 基于机器视觉的井下猴车钢丝绳检测系统%Detection System of Steel wire of Monkey Car in Mine based on Machine Vision

    Institute of Scientific and Technical Information of China (English)

    涂帅

    2013-01-01

    The steel wire is widely used in monkey car in mine.At long-term operation,danger of the steel wire wears and fracture existing in monkey car.To solve this problem, a detection method of steel wire crack based on Machine Vision is proposed.The image is acquired by CCD camera,and the crack is detected by edge detection.The alarm is occurred when crack is detected and the alarm is handed down to the upper computer.Experimental result shows that precision of the detection system is high,and solve the safe transportation problem of monkey car greatly.%  井下猴车广泛采用无极钢丝绳,长期运作存在钢丝绳磨损、断裂等安全隐患,针对这一问题,提出了一种基于机器视觉的检测方法,采用边缘检测算法对CCD采集的图像进行缺陷检测,并产生报警信号传送到上位机。实验结果表明该套检测系统检测精度高,极大地解决了猴车的安全运输问题。

  14. Micro Vision

    OpenAIRE

    Ohba, Kohtaro; OHARA, Kenichi

    2007-01-01

    In the field of the micro vision, there are few researches compared with macro environment. However, applying to the study result for macro computer vision technique, you can measure and observe the micro environment. Moreover, based on the effects of micro environment, it is possible to discovery the new theories and new techniques.

  15. Mortality studies of machining fluid exposure in the automobile industry. V: A case-control study of pancreatic cancer.

    Science.gov (United States)

    Bardin, J A; Eisen, E A; Tolbert, P E; Hallock, M F; Hammond, S K; Woskie, S R; Smith, T J; Monson, R R

    1997-09-01

    Results are presented from a case-control study of 97 cases of pancreatic cancer nested in a cohort of workers from three automobile manufacturing plants. Risk was examined for lifetime exposure to straight, soluble, and synthetic metalworking fluids, as used in specific machining or grinding operations, as well as for constituents of the fluids. Pancreatic cancer was associated with exposure to synthetic fluids in grinding operations, with an odds ratio of 3.0 (95% CI: 1.2-7.5) among those with more than 1.4 mg/m3-years of exposure. We were unable to examine synthetic exposure in the absence of grinding because there was virtually no exposure to synthetics in machining operations in this study population. Although a disproportionately high percent of the cases were black, no black workers had any exposure to synthetic fluids, and no other measured exposure was found to be related to risk. Thus, the previously documented excess risk of pancreatic cancer among blacks in this cohort remains unexplained.

  16. Industry

    Energy Technology Data Exchange (ETDEWEB)

    Bernstein, Lenny; Roy, Joyashree; Delhotal, K. Casey; Harnisch, Jochen; Matsuhashi, Ryuji; Price, Lynn; Tanaka, Kanako; Worrell, Ernst; Yamba, Francis; Fengqi, Zhou; de la Rue du Can, Stephane; Gielen, Dolf; Joosen, Suzanne; Konar, Manaswita; Matysek, Anna; Miner, Reid; Okazaki, Teruo; Sanders, Johan; Sheinbaum Parado, Claudia

    2007-12-01

    This chapter addresses past, ongoing, and short (to 2010) and medium-term (to 2030) future actions that can be taken to mitigate GHG emissions from the manufacturing and process industries. Globally, and in most countries, CO{sub 2} accounts for more than 90% of CO{sub 2}-eq GHG emissions from the industrial sector (Price et al., 2006; US EPA, 2006b). These CO{sub 2} emissions arise from three sources: (1) the use of fossil fuels for energy, either directly by industry for heat and power generation or indirectly in the generation of purchased electricity and steam; (2) non-energy uses of fossil fuels in chemical processing and metal smelting; and (3) non-fossil fuel sources, for example cement and lime manufacture. Industrial processes also emit other GHGs, e.g.: (1) Nitrous oxide (N{sub 2}O) is emitted as a byproduct of adipic acid, nitric acid and caprolactam production; (2) HFC-23 is emitted as a byproduct of HCFC-22 production, a refrigerant, and also used in fluoroplastics manufacture; (3) Perfluorocarbons (PFCs) are emitted as byproducts of aluminium smelting and in semiconductor manufacture; (4) Sulphur hexafluoride (SF{sub 6}) is emitted in the manufacture, use and, decommissioning of gas insulated electrical switchgear, during the production of flat screen panels and semiconductors, from magnesium die casting and other industrial applications; (5) Methane (CH{sub 4}) is emitted as a byproduct of some chemical processes; and (6) CH{sub 4} and N{sub 2}O can be emitted by food industry waste streams. Many GHG emission mitigation options have been developed for the industrial sector. They fall into three categories: operating procedures, sector-wide technologies and process-specific technologies. A sampling of these options is discussed in Sections 7.2-7.4. The short- and medium-term potential for and cost of all classes of options are discussed in Section 7.5, barriers to the application of these options are addressed in Section 7.6 and the implication of

  17. Research into the Architecture of CAD Based Robot Vision Systems

    Science.gov (United States)

    1988-02-09

    Vision 󈨚 and "Automatic Generation of Recognition Features for Com- puter Vision," Mudge, Turney and Volz, published in Robotica (1987). All of the...Occluded Parts," (T.N. Mudge, J.L. Turney, and R.A. Volz), Robotica , vol. 5, 1987, pp. 117-127. 5. "Vision Algorithms for Hypercube Machines," (T.N. Mudge

  18. Sorting System Algorithms Based on Machine Vision for Delta Robot%基于机器视觉的Delta机器人分拣系统算法

    Institute of Scientific and Technical Information of China (English)

    倪鹤鹏; 刘亚男; 张承瑞; 王云飞; 夏飞虎; 邱正师

    2016-01-01

    To overcome the repeat shooting to workpieces by vision system in sorting process, an image deduplication algorithm based on time and workpieces’ positions is proposed. The running time of the real-time sorting system is used as basis of each sorting module, and the predicted time that workpieces arrive at a fixed reference position is combined with its current location into a set of coordinates to uniquely identify a part. So the duplicate image information can be found and removed by comparing those coordinates periodically. At the same time, in order to improve sorting efficiency, a dynamic picking algorithm based on Newton-Raphson method is proposed. The non-linear mathematical model is established for workpiece tracking, which is solved by Newton-Raphson iteration. Finally, the proposed dynamic picking algorithm is verified by MATLAB. In prototype test the maximum sorting speed can reach 110 times per minute, mistaken-grab rate is lower than 2‰, missing-grab rate is 0, which proves that the algorithms can meet the real-time, the accuracy and the stability requirements.%针对分拣过程中视觉系统对工件的重复拍摄问题,提出一种基于时间与工件位置的图像去重复算法,以实时分拣系统的系统运行时刻作为各单元的时间基准,将预测的工件到达某一固定参考位置的时刻与工件当前位置组合成一组能唯一识别工件的坐标,经周期性比较,判断并去掉重复图像信息。同时为提高分拣效率,提出一种基于牛顿-拉夫森迭代的动态抓取算法,建立了机器人跟踪工件的数学模型,并通过牛顿-拉夫森方法求解该非线性数学模型。最后用MATLAB对动态抓取算法进行了验证。样机实验中最快分拣速度达110次/min,误抓率小于2‰,漏抓率为0,证明了算法能够满足实时性要求,同时具有较高的准确性和稳定性。

  19. Economic analysis of a self-propelled apple harvest and in-field sorting machine for the apple industry

    Science.gov (United States)

    The U.S. apple industry, which generated more than $2.7 billion revenue at the farm gate in 2013, is facing critical challenges in decreased availability of labor and increased labor and production cost. To address these challenges, a self-propelled apple harvest and automated in-field sorting machi...

  20. Forecasting Water Demand in Residential, Commercial, and Industrial Zones in Bogotá, Colombia, Using Least-Squares Support Vector Machines

    Directory of Open Access Journals (Sweden)

    Carlos Peña-Guzmán

    2016-01-01

    Full Text Available The Colombian capital, Bogotá, has undergone massive growth in a short period of time. Naturally, this growth has increased the city’s water demand. The prediction of this demand will help understand and analyze consumption behavior, thereby allowing for effective management of the urban water cycle. This paper uses the Least-Squares Support Vector Machines (LS-SVM model for forecasting residential, industrial, and commercial water demand in the city of Bogotá. The parameters involved in this study include the following: monthly water demand, number of users, and total water consumption bills (price for the three studied uses. Results provide evidence of the model’s accuracy, producing R2 between 0.8 and 0.98, with an error percentage under 12%.

  1. Rotor Incipient Position Location of Industrial Servo Sewing Machine%工业伺服缝纫机转子初始定位方法

    Institute of Scientific and Technical Information of China (English)

    纪岱山; 游林儒

    2013-01-01

    In the applications of hybrid grating encoder,how to start the motor and search the rotor mechanical position quickly with precise rotor incipient position locationing was a difficulty for industrial sewing machine servo system.Through the analysis of permanent magnet synchronous motor vector control theory and the signals of hybrid grating encoder,a simple and practical method of rotor incipient position location was proposed.The method was implemented by using the experimental hardware platform which took the highperformance microcontroller SH7125 as core.The experimental results showed that the method could meet the actual requirements of industrial servo sewing machine and ensure the reliable start and operation of the motor.%在使用复合式光电编码器的工业缝纫机伺服系统中,如何使电机上电后快速完成转子搜索机械位置和转子精确初始化是一个难点.对永磁同步电机矢量控制原理和复合式光电编码器信号进行了分析,提出一种简单实用的永磁同步电机转子初始定位方法,将该方法应用于高性能单片机SH7125作为控制核心实验平台上.实验结果表明,该方法能满足工业伺服缝纫机实际使用要求,实现电机可靠启动、运行.

  2. Computer vision

    Science.gov (United States)

    Gennery, D.; Cunningham, R.; Saund, E.; High, J.; Ruoff, C.

    1981-01-01

    The field of computer vision is surveyed and assessed, key research issues are identified, and possibilities for a future vision system are discussed. The problems of descriptions of two and three dimensional worlds are discussed. The representation of such features as texture, edges, curves, and corners are detailed. Recognition methods are described in which cross correlation coefficients are maximized or numerical values for a set of features are measured. Object tracking is discussed in terms of the robust matching algorithms that must be devised. Stereo vision, camera control and calibration, and the hardware and systems architecture are discussed.

  3. Online grading method for tissue culture seedlings ofSpathiphyllum floribundum based on machine vision%基于机器视觉的白掌组培苗在线分级方法

    Institute of Scientific and Technical Information of China (English)

    杨意; 初麒; 杨艳丽; 张祥接; 徐祥朋; 辜松

    2016-01-01

    白掌在观叶类花卉中占有很大比例,其育苗多采用组织栽培法,且组培苗生产具有规模化。为提高成苗出苗品质,需要在组培苗炼苗前对其分级,而目前常用分级法不能有效解决自然状态下水平放置的白掌组培苗存在的叶片扭曲和重叠问题,因此该文提出一种基于机器视觉实现白掌组培苗在线分级的方法,通过对自然状态下水平放置的白掌组培苗的叶片面积、苗高、地径以及投影面积的分析,得到其投影面积与叶片面积呈线性关系,相关度为0.9344;投影面积与地径呈多项式函数关系,相关性为0.9067,故确定组培苗投影面积和苗高为实际生产中的分级指标。该文采用基于颜色模板匹配算法测量组培苗投影面积,得到的叶片面积和地径与实际叶片面积和地径的变异系数相对误差分别为0.35%和7.95%;利用最小外接矩形法(MBR,minimum bounding rectangle)测量苗高,得到的苗高和实际苗高变异系数相对误差为1.44%。通过整机分级试验发现在输送间距为0.25 m,输送速度为0.5 m/s,分级级别为3级的条件下,该分级装置的分级成功率可达96%,对应生产率为7200株/h。%At present, most of young plants ofSpathiphyllum floribundum are breeding by the technique of tissue culture. Due to absence of grading machine specially designed for primary-growth plants that is small, irregular and young, the grading of tissue culture seedlings are normally handled manually. In this paper, we proposed an automated online grading method for Spathiphyllum floribundum tissue culture seedlings based on the technique of machine vision. SinceSpathiphyllum floribundum is a foliage flower, the leaf area is one of the most important parameters in grading, along with seedling height and diameter. Direct measurement not only would do damage to young plant because of its tenderness, but also the manpower productivity

  4. Industrialization

    African Journals Online (AJOL)

    Lucy

    Second World era international system (1945-1990) may not have done any good to ... wedge between the capitalist and socialist blocs, not only blurred Third World .... Politics and the Stages of Economic Growth, Cambridge: Cambridge ... complex industries producing mainly for export, but also producing for local.

  5. What Is Low Vision?

    Science.gov (United States)

    ... Condition Eye Health Low Vision What Is Low Vision? What "Low Vision" Means Signs and Symptoms of ... Services The Low Vision Pilot Project What "Low Vision" Means As we age, our eyes change too. ...

  6. All Vision Impairment

    Science.gov (United States)

    ... Home > Statistics and Data > All Vision Impairment All Vision Impairment Vision Impairment Defined Vision impairment is defined as the ... Ethnicity 2010 U.S. Age-Specific Prevalence Rates for Vision Impairment by Age and Race/Ethnicity Table for ...

  7. Healthy Living, Healthy Vision

    Science.gov (United States)

    ... Financial Assistance Information Vision Screening and Eye Exams Zika Virus and Vision Eye Problems Eye Problems Amblyopia ( ... Eye Health Report Reports and External Resources The Cost of Vision Problems The Future of Vision Vision ...

  8. Pregnancy and Your Vision

    Science.gov (United States)

    ... Financial Assistance Information Vision Screening and Eye Exams Zika Virus and Vision Eye Problems Eye Problems Amblyopia ( ... Eye Health Report Reports and External Resources The Cost of Vision Problems The Future of Vision Vision ...

  9. 基于机器视觉的燃料电池MEA贴片方案设计%Scheme design for fuel cell MEA placement based on machine vision

    Institute of Scientific and Technical Information of China (English)

    张步阳; 梅爽; 陈伟; 王瑜辉

    2014-01-01

    According to the placement processes for gas diffusion layer and the catalyst layer in the fuel cell membrane electrode assembly,gives a placement scheme with automatic deviation-correcting function .At first,a mechanical unit with multi degrees of freedom was given .This unit was a manipulator using vacuum adsorption technology .Then a fusion estimation algorithm based on pseudo-omnidirectional vision for autonomous mobile robot self-motion was proposed .Then the IPC obtained the location informa-tion of the gas diffusion layer and the catalyst layer using machine vision technology .In addition,the reason for affecting the placement precision was analyzed and the solution of this problem was put forward .At last,the IPC controlled the motor moving to paste accurately .Experimental results show that this automatic correction scheme not only has high placement precision but also has the good stability and reproducibility .%针对燃料电池膜电极组件中气体扩散层与催化剂层的贴片工艺,提出了一种具有自动纠偏功能的贴片方案。首先,针对贴片工艺给定机械结构,该结构为具有真空吸附功能的多自由度机械手。然后,采用机器视觉技术获得气体扩散层与催化剂层的位置信息,分析影响贴片精度的原因,并针对该机械结构提出了相应的贴片算法。最后,控制各轴电动机的运动实现精确层合。实验结果表明,该方案的精度符合要求,并具有良好的稳定性和可重复性。

  10. Birth and evolution of visionics

    Science.gov (United States)

    Wiseman, Robert S.

    1992-09-01

    The success of the U.S. Army's Night Vision Program at Fort Belvoir, VA was significantly influenced by the evolution and timely culmination of Visionics technology which was initiated by Mr. John Johnson. In the late 1950's, Visionics technology started with concern for Near Infrared (NIR) and Image Intensifier (II) Night Vision developments. It resulted in the Johnson Criteria which coupled system physical characteristics to visual performance by using resolution of line pairs across the minimum dimension of a target. This led to development of image evaluation procedures and standardized laboratory testing. Later the Visionics team addressed the Far Infrared (FIR) system performance and developed a series of FLIR Performance Models. The Visionic's Static Performance Model computer code was accepted and proliferated widely by the mid-70's. Visionics moved from static viewing to address the problems of search effectiveness. Then came more work on target signatures and the consideration of the effects of fog, rain, snow, artillery barrages, and realistic battlefield conditions on system performance in order to assure the utility of fielded equipments for all theaters of interest. The general use of the various Visionics models and methodology throughout Government and Industry is recognition of the contributions made by Mr. John Johnson and his Visionics staff.

  11. Computer Vision Systems

    Science.gov (United States)

    Gunasekaran, Sundaram

    Food quality is of paramount consideration for all consumers, and its importance is perhaps only second to food safety. By some definition, food safety is also incorporated into the broad categorization of food quality. Hence, the need for careful and accurate evaluation of food quality is at the forefront of research and development both in the academia and industry. Among the many available methods for food quality evaluation, computer vision has proven to be the most powerful, especially for nondestructively extracting and quantifying many features that have direct relevance to food quality assessment and control. Furthermore, computer vision systems serve to rapidly evaluate the most readily observable foods quality attributes - the external characteristics such as color, shape, size, surface texture etc. In addition, it is now possible, using advanced computer vision technologies, to “see” inside a food product and/or package to examine important quality attributes ordinarily unavailable to human evaluators. With rapid advances in electronic hardware and other associated imaging technologies, the cost-effectiveness and speed of computer vision systems have greatly improved and many practical systems are already in place in the food industry.

  12. Design of Industrial Machine Vision System Based on ARM/Linux%基于ARM与Linux的工业机器视觉系统设计

    Institute of Scientific and Technical Information of China (English)

    孙克男; 赖晓阳; 唐厚君

    2016-01-01

    机器视觉技术在现代化工业生产中应用广泛深入,发挥着重要作用.文章设计实现了一种改进型的机器视觉系统,适用于冲床自动送料机生产,搭载ARM内核处理器与Linux操作系统,使用OpenCV进行图像处理,通过USB或以太网与工业控制计算机进行通信.机器视觉系统可以替代工业相机的使用,降低系统成本;系统也可独立进行图像处理作业,分担工业控制计算机的运算负担,提高效率,对优化冲床自动化生产,压缩生产制造成本有着积极意义,在实际工程的生产活动中有着重要的参考价值.

  13. Anti-shake and coordinate interpolation techniques in machine vision electronic whiteboard system application%机器视觉电子白板系统的防抖与坐标插值技术

    Institute of Scientific and Technical Information of China (English)

    周祖微; 刘森; 王忆文; 李辉

    2012-01-01

    在基于机器视觉的电子白板系统应用中,为了消除各种因素导致的触控点抖动,提出了一种改进的均值滤波的防抖方法.为了突破硬件设备的限制提高系统工作的流畅性,采用了一种基于曲线拟合的坐标插值方法来提高系统实时性并平滑处理触控点的运动轨迹.实验结果表明:触控点的抖动情况得到了消除,在摄像头最高工作频率60fps的情况下,系统能以每秒输出180个触控点坐标的速度实时工作,在不增加硬件成本的情况下提高了系统实时性.%In the electronic whiteboard system based on machine vision, an improved mean filter was proposed to eliminate touching-point jitter. In order to enhance the working fluency without hardware restrictions, a coordinate interpolation based on curve-fitting was adopted to improve the real-time performance of the whole system and smooth the trajectory of moving touching-point. The experimental results show that: on one hand, touching-point jitter can be eliminated. On the other hand, the system can output 180 touching-point coordinates per second when the camera works at its highest speed of 60 frame per second. The real-time performance of the whole system gets effectively improved without any new hardware cost.

  14. 基于机器视觉的猪体质量估测模型比较与优化%Comparison and optimization of pig mass estimation models based on machine vision

    Institute of Scientific and Technical Information of China (English)

    李卓; 毛涛涛; 刘同海; 滕光辉

    2015-01-01

    Pig’s weight is an important index for farmers to monitor pig’s growth performance and health. Traditional weighting brings lots of stress to animals and stockmen due to manual operation. Pig weighting based on machine vision is a non-intrusive, fast and precise approach, for it can free the farmer from heavy operational labor. The weighting system precision is assured by the estimation model. A lot of estimation models are addressed in pig weighting based on machine vision by researchers and engineers. Both independent variables and modeling approaches would influence the accuracy of estimated weight. In present work, comparison and optimization of the models were conducted, and the best model was validated in the real farm. In the first experiment, four growing pigs were raised from 30 to 124 kg. The feed was suppliedad libitum, and the lighting was in a 12/12 h light/dark cycle. A machine vision system was assembled and installed with two parallel cameras, an RFID (radio frequency identification devices) reader and a PC for capturing live images of pigs automatically. Using the assembled system, the pigs’ back areas were measured. The head and tail of pig in each picture was cut off for pig’s back area calculation. Five indexes of pig body (body length, width, height, hip width, and hip height) were measured manually every day. Linear regression, power regression, quadratic regression, principal component regression and RBF (radial basis function) artificial neural network were used to establish estimation models using the 79 sets of data. Those models were compared using the remaining 97 sets of data. The second experiment was carried out in the real farm to validate the favorable model. Five body indexes of 24 adult pigs were measured three times manually. The results of experiment station showed that all the reestablished models were suitable for pig weight estimation with varied accuracies. Linear regression model based on body sizes was the best one

  15. 基于机器视觉的高密度电路板缺陷检测系统%Defects Inspection System of HID PCB Based on Machine Vision

    Institute of Scientific and Technical Information of China (English)

    熊光洁; 马树元; 聂学俊; 武思远; 汤晓华

    2011-01-01

    An improved automated optical inspection system (AOI) is researched to decrease defects false alarm rate of HDI PCB. With a new multicolor LED illuminator, the system can capture the tested PCB image by using machine vision, and identify the various defects quickly and accurately through image processing software systems in this paper. The performance system of this AOI has been greatly im-proved by using improved hardware system and algorithms which was programmed on OPENCV platform by using the colorful information of captured images. The 36300 testing points of 30 HDI PCB are detected, and the results of this experiment prove that the PCB defect detection rate of the AOI inspection system is improved to 99. 87% and the false alarm rate of defects down to 0. 32%.%为减少高密度电路板的缺陷误报率,研究一种新型自动光学检测系统(AOI);系统采用自行研制的多色LED照明系统,利用机器视觉获取被测PCB的图像,通过图像处理软件系统快速准确地识别出各种缺陷;系统利用获取的彩色图像信息,根据各种缺陷的特征信息不同,采用OPENCV对各种缺陷的检测算法进行改进,使得系统性能有很大改进;对30块同类HDI型PCB的36300个检测点进行测试,测试结果证明,系统PCB缺陷的检出率高达99.87%,误报率只有0.32%.

  16. Color Detection Method for Gas Generator of Safety Belt Based on Machine Vision%基于机器视觉的安全带气体发生器颜色检测方法

    Institute of Scientific and Technical Information of China (English)

    于保军

    2016-01-01

    The purpose was to measure the color of safety belt’ s gas generator by the method of machine vision. First, color CCD camera was use to get the color images of the components. Then the software ( NI LabVIEW) was used to process those images easily. The color cast adjustment of those images and image filtering were made to get the desired images. Then the color values of different gas generators were saved as standard templates. The values of the template were matched with the detecting members to determine the com⁃ponent’ s color.%对基于机器视觉的汽车安全带气体发生器的颜色检测方法进行研究,研究的目的是检测出该元件的颜色信息。使用的方法是:采用彩色CCD相机获得被检测元件的彩色图像;对获取到的彩色图像使用美国NI公司的LabVIEW软件及其图像处理模块来实现彩色图像的色偏调整、彩色图像的滤波处理等操作后获得可用于检测的理想彩色图像;将获取到的各种不同的气体发生器的颜色图片保存为标准模板,之后检测到的元件与标准模板之间通过颜色距离计算的方法相匹配就可以检测出该元件的颜色。

  17. Development of the railway freight log scaling system based on machine vision%基于机器视觉的铁路货运木材检尺系统开发

    Institute of Scientific and Technical Information of China (English)

    王纪武; 高伟杰; 廖方波; 李建勇

    2012-01-01

    利用三角测量原理,采用图像处理技术,解决了基于机器视觉木材检尺技术的难点问题.实验结果表明:开发的检尺系统可直接确定目标面到相机镜头间的距离,并且能够与机器视觉检尺无缝融合,与其他测距传感器相比,该系统成本低,不仅适合单根等小批量的木材检尺要求,而且适合大批量的铁路货运木材的检尺工作.%The conventional log scaling, which is done with a tape measure by manual operation in order to get higher accuracy, is carried out by more workers working hard for a longer time. It is difficult 10 realize systematic and scientific management. Based on machine vision, a new log scaling system is developed. The distance between the log-end and camera is calculated directly by the image processing with a point laser according to the principle of triangulation. Moreover, the distance calculation can be done with other image processing simultaneously. With this technique, the developed log scaling system can be used not only for scaling a single log one by one, but also for scaling bundles of logs at the same time.

  18. 基于 SAS 机床行业发展的数量化研究%Quantification Study of the Development of the Machine Tool Industry Based on SAS

    Institute of Scientific and Technical Information of China (English)

    翟芳婷

    2014-01-01

    Obtained large historical data of 11 typical industry and six machine tool companies from the stock market by using SAS software ,we get a mathematical formula about the development of machine tool industry by SAS programming , principal component analysis method and multivariate linear regression analysis method .This formula reflects the relationship between the development of machine tool industry and the national economy ,infrastructure ,the real estate .The study pro-vide a reference for the future development and investment of machine tool industry .%利用SAS软件从证券市场上获取11个典型行业和6家机床公司2008~2013年的庞大经济数据,通过SAS编程借助主成份分析法和多元线性回归分析法建立了影响机床行业发展的模型方程,数量化阐述了机床行业发展指数与国民经济、基础设施和房地产三者发展的关系,为机床行业的未来发展及投资提供借鉴。

  19. Bringing Vision-Based Measurements into our Daily Life: A Grand Challenge for Computer Vision Systems

    OpenAIRE

    Scharcanski, Jacob

    2016-01-01

    Bringing computer vision into our daily life has been challenging researchers in industry and in academia over the past decades. However, the continuous development of cameras and computing systems turned computer vision-based measurements into a viable option, allowing new solutions to known problems. In this context, computer vision is a generic tool that can be used to measure and monitor phenomena in wide range of fields. The idea of using vision-based measurements is appealing, since the...

  20. The biotechnology innovation machine: a source of intelligent biopharmaceuticals for the pharma industry--mapping biotechnology's success.

    Science.gov (United States)

    Evens, R P; Kaitin, K I

    2014-05-01

    The marriage of biotechnology and the pharmaceutical industry (pharma) is predicated on an evolution in technology and product innovation. It has come as a result of advances in both the science and the business practices of the biotechnology sector in the past 30 years. Biotechnology products can be thought of as "intelligent pharmaceuticals," in that they often provide novel mechanisms of action, new approaches to disease control, higher clinical success rates, improved patient care, extended patent protection, and a significant likelihood of reimbursement. Although the first biotechnology product, insulin, was approved just 32 years ago in 1982, today there are more than 200 biotechnology products commercially available. Research has expanded to include more than 900 biotechnology products in clinical trials. Pharma is substantially engaged in both the clinical development of these products and their commercialization.

  1. When Machines Design Machines!

    DEFF Research Database (Denmark)

    2011-01-01

    Until recently we were the sole designers, alone in the driving seat making all the decisions. But, we have created a world of complexity way beyond human ability to understand, control, and govern. Machines now do more trades than humans on stock markets, they control our power, water, gas...... and food supplies, manage our elevators, microclimates, automobiles and transport systems, and manufacture almost everything. It should come as no surprise that machines are now designing machines. The chips that power our computers and mobile phones, the robots and commercial processing plants on which we...... depend, all are now largely designed by machines. So what of us - will be totally usurped, or are we looking at a new symbiosis with human and artificial intelligences combined to realise the best outcomes possible. In most respects we have no choice! Human abilities alone cannot solve any of the major...

  2. Cells, Agents, and Support Vectors in Interaction - Modeling Urban Sprawl based on Machine Learning and Artificial Intelligence Techniques in a Post-Industrial Region

    Science.gov (United States)

    Rienow, A.; Menz, G.

    2015-12-01

    face of post-industrial cities are revealed. Finally, the advantages and limitations of linking pixels and people by combining AI and machine learning techniques in a multi-scale geosimulation approach are to be discussed.

  3. Machining of Complex Sculptured Surfaces

    CERN Document Server

    2012-01-01

    The machining of complex sculptured surfaces is a global technological topic in modern manufacturing with relevance in both industrialized and emerging in countries particularly within the moulds and dies sector whose applications include highly technological industries such as the automotive and aircraft industry. Machining of Complex Sculptured Surfaces considers new approaches to the manufacture of moulds and dies within these industries. The traditional technology employed in the manufacture of moulds and dies combined conventional milling and electro-discharge machining (EDM) but this has been replaced with  high-speed milling (HSM) which has been applied in roughing, semi-finishing and finishing of moulds and dies with great success. Machining of Complex Sculptured Surfaces provides recent information on machining of complex sculptured surfaces including modern CAM systems and process planning for three and five axis machining as well as explanations of the advantages of HSM over traditional methods ra...

  4. SOLVENCY OF MACHINE BUILDING ENTERPRISES

    OpenAIRE

    Freimanis, Tālis; Svarinskis, Leonārs

    2009-01-01

    Machine building as a competative exporting industry plays an important role in the Latvian national open market economy. The further development of machine building is possible under the conditions of the stable solvency. Therefore, it is crucial to perform the solvency analysis of the industry enterprises and give its evaluation.

  5. Etude des potentialités de la vision artificielle pour la reconnaissance optique des semences immatures de chicorée industrielle (Cichorium intybus L.

    Directory of Open Access Journals (Sweden)

    Ooms, D.

    2010-01-01

    Full Text Available Study of the potentialities of machine vision used for optical selection of immature seeds of industrial chicory (Cichorium intybus L.. The commercial production of industrial chicory seeds (cypselae includes the postharvest elimination of non-viable seeds by non-destructive tools. For this purpose, two machine vision methods are described for the detection of non-viable seeds: color vision and fluorescence imaging. The analysis of color images of 1,500 seeds of the 'Nausica' variety allows only the recognition of desiccated and undeveloped seeds. This is caused by the large variability of seed color, shape and texture. Fluorescence imaging is set up in order to analyze the repartition of chlorophyll fluorescence, a marker of seed maturity, on different areas of the seed (pericarp, radicle tip and pappus. A very sensitive system is needed due to the low chlorophyll content and the large amount of seeds to be sorted. A fluorescence imaging system is proposed. Its distinctive feature is the possibility to modify the spectrum of the light source (in order to optimize the sensibility of the machine vision system and to record the evolution of fluorescence repartition with time. The system is functional and delivers images of fluorescence repartition within external cypsela tissues. It could allow to analyze the fluorescence of a large sample of seeds to correlate fluorescence features to germinability and maturity.

  6. 基于机器视觉的作物多姿态害虫特征提取与分类方法%Feature extraction and classification method of multi-pose pests using machine vision

    Institute of Scientific and Technical Information of China (English)

    李文勇; 李明; 陈梅香; 钱建平; 孙传恒; 杜尚丰

    2014-01-01

    Pest identification and classification is time-consuming work that requires expert knowledge for integrated pest management. Automation, including machine vision combined with pattern recognition, has achieved some applications in areas such as fruit sorting, robotic harvesting, and quality detection, etc. Automatic classification and counting of pests using machine vision is still a challenge because of variable and uncertain poses of trapped pests. Therefore, using Pseudaletia separata, Conogethes punctiferalis, Helicoverpa armigera, Agrotis ypsilon with different poses as research objects, this paper presents a novel classification method for multi-pose pests based on color and texture feature groups and using a multi-class support vector machine. 320 images were taken using field samples with an original resolution of 4 288×2 848. The subimages of pests with 640×640 pixel size were obtained from original images for computational efficiency. Color features in RGB and HSV spaces, statistical texture features, and wavelet-based texture features were extracted. Six feature vector groups were constructed using those features. In order to select effective feature parameters of each group, a genetic algorithm was designed to optimize feature vectors based on 10-fold cross-validation. Finally, the one-against-one DAGMSVM (acronym as yet undefined) algorithm was applied to classify and recognize the four kinds of target pests and to find the best feature group. 80 images (60 for the training set and 20 for the testing set) were adopted for each species. Parameter numbers were calculated and analyzed after optimization, thus the best parameters were selected for each group. The training time of the SVM model and classification accuracy, which contains false negative and false positive details, were compared between pre-optimization and post-optimization. The results showed that the highest parameter optimization ratio is from the sixth feature group with a dimension

  7. Identification of Fungi by Machine Vision

    DEFF Research Database (Denmark)

    Dørge, Thorsten Carlheim; Carstensen, Jens Michael

    1999-01-01

    This paper presents some methods for identification and classification of fungal colonies into species solely by means of digital image analysis without any additinal chemical analysis needed. The methods described are completly automated hence objective once a digital image of the fungus has bee...

  8. Close range photogrammetry and machine vision

    CERN Document Server

    Atkinson, KB

    1996-01-01

    This book presents the methodology, algorithms, techniques and equipment necessary to achieve real time digital photogrammetric solutions, together with contemporary examples of close range photogrammetry.

  9. Backlit Keyboard Inspection Using Machine Vision

    Institute of Scientific and Technical Information of China (English)

    Der-Baau Perng; Hsiao-Wei Liu; Po-An Chen

    2015-01-01

    Abstract⎯A robust system for backlit keyboard inspection is revealed. The backlit keyboard not only has changeable diverse colors but also has the laser marking keys. The keys on the keyboard can be divided into regions of function keys, normal keys, and number keys. However, there might have some types of defects: incorrect illuminating area, non-uniform illumination of specified inspection region (IR), and incorrect luminance and intensity of individual key. Since the illumination features of backlit keyboard are too complex to inspect for human inspector in the production line, an auto-mated inspection system for the backlit keyboard is proposed in this paper. The system was designed into the operation module and inspection module. A set of image processing methods were developed for these defects inspection. Some experimental results demonstrate the robustness and effectiveness of the proposed system.

  10. Optimal Model-Based Fault Estimation and Correction for Particle Accelerators and Industrial Plants Using Combined Support Vector Machines and First Principles Models

    Energy Technology Data Exchange (ETDEWEB)

    Sayyar-Rodsari, Bijan; Schweiger, Carl; /SLAC /Pavilion Technologies, Inc., Austin, TX

    2010-08-25

    Timely estimation of deviations from optimal performance in complex systems and the ability to identify corrective measures in response to the estimated parameter deviations has been the subject of extensive research over the past four decades. The implications in terms of lost revenue from costly industrial processes, operation of large-scale public works projects and the volume of the published literature on this topic clearly indicates the significance of the problem. Applications range from manufacturing industries (integrated circuits, automotive, etc.), to large-scale chemical plants, pharmaceutical production, power distribution grids, and avionics. In this project we investigated a new framework for building parsimonious models that are suited for diagnosis and fault estimation of complex technical systems. We used Support Vector Machines (SVMs) to model potentially time-varying parameters of a First-Principles (FP) description of the process. The combined SVM & FP model was built (i.e. model parameters were trained) using constrained optimization techniques. We used the trained models to estimate faults affecting simulated beam lifetime. In the case where a large number of process inputs are required for model-based fault estimation, the proposed framework performs an optimal nonlinear principal component analysis of the large-scale input space, and creates a lower dimension feature space in which fault estimation results can be effectively presented to the operation personnel. To fulfill the main technical objectives of the Phase I research, our Phase I efforts have focused on: (1) SVM Training in a Combined Model Structure - We developed the software for the constrained training of the SVMs in a combined model structure, and successfully modeled the parameters of a first-principles model for beam lifetime with support vectors. (2) Higher-order Fidelity of the Combined Model - We used constrained training to ensure that the output of the SVM (i.e. the

  11. Optimal Model-Based Fault Estimation and Correction for Particle Accelerators and Industrial Plants Using Combined Support Vector Machines and First Principles Models

    Energy Technology Data Exchange (ETDEWEB)

    Sayyar-Rodsari, Bijan; Schweiger, Carl; /SLAC /Pavilion Technologies, Inc., Austin, TX

    2010-08-25

    Timely estimation of deviations from optimal performance in complex systems and the ability to identify corrective measures in response to the estimated parameter deviations has been the subject of extensive research over the past four decades. The implications in terms of lost revenue from costly industrial processes, operation of large-scale public works projects and the volume of the published literature on this topic clearly indicates the significance of the problem. Applications range from manufacturing industries (integrated circuits, automotive, etc.), to large-scale chemical plants, pharmaceutical production, power distribution grids, and avionics. In this project we investigated a new framework for building parsimonious models that are suited for diagnosis and fault estimation of complex technical systems. We used Support Vector Machines (SVMs) to model potentially time-varying parameters of a First-Principles (FP) description of the process. The combined SVM & FP model was built (i.e. model parameters were trained) using constrained optimization techniques. We used the trained models to estimate faults affecting simulated beam lifetime. In the case where a large number of process inputs are required for model-based fault estimation, the proposed framework performs an optimal nonlinear principal component analysis of the large-scale input space, and creates a lower dimension feature space in which fault estimation results can be effectively presented to the operation personnel. To fulfill the main technical objectives of the Phase I research, our Phase I efforts have focused on: (1) SVM Training in a Combined Model Structure - We developed the software for the constrained training of the SVMs in a combined model structure, and successfully modeled the parameters of a first-principles model for beam lifetime with support vectors. (2) Higher-order Fidelity of the Combined Model - We used constrained training to ensure that the output of the SVM (i.e. the

  12. Vision Loss, Sudden

    Science.gov (United States)

    ... of age-related macular degeneration. Spotlight on Aging: Vision Loss in Older People Most commonly, vision loss ... Some Causes and Features of Sudden Loss of Vision Cause Common Features* Tests Sudden loss of vision ...

  13. Healthy Vision Tips

    Science.gov (United States)

    ... NEI for Kids > Healthy Vision Tips All About Vision About the Eye Ask a Scientist Video Series ... Links to More Information Optical Illusions Printables Healthy Vision Tips Healthy vision starts with you! Use these ...

  14. 剪毛机支架体渗碳工艺的优化%The Optimum of Carburize Industrial Art on Shearing Machine Frame Foundation

    Institute of Scientific and Technical Information of China (English)

    吐尔逊·斯地克; 熊辉林

    2011-01-01

    By the shearing machine frame foundation with its material (number 08 steel), using solid-state carburize method, the carburize industrial art, organization and property have been studied in order to provide reasonable theoretical foundation for increasing resistance to wear of carburize layers. From test the optimal version has been reached in heating temperature of 950℃, insulated time of 4 h, catalyst proportion of 30%.%本文以剪毛机支架体材料08钢为研究对像,采用固体渗碳法,对渗碳的工艺,组织和性能进行研究,为提高渗碳层的耐磨性提供可靠的理论依据.通过试验得出加热温度为950℃,保温时间为6 h,催渗剂比例为30%的最优方案.

  15. The development of advanced robotics for the nuclear industry - The development of remote sensing robot vision system based on multi sensor fusion

    Energy Technology Data Exchange (ETDEWEB)

    Chien, Sung Il; Ryu, Kang Su; Choi, Il; Baek, Yung Mok; Koo, Bon Ki; Han, Yang Hwan; Kim, Byung Sun [Kyungpook National University, Taegu (Korea, Republic of)

    1996-07-01

    The stereo vision algorithm based on newly developed fusion technique incorporating region information feature map to the traditional matching method has been developed here to provide more reliable depth information for= the acquired stereo image. Reliable segmentation results obtained from 3-D depth information were also presented here. The novel technique to generate automatic initial windows for image tracker from stereo images could be demonstrated quite successfully. 22 refs., 2 tabs., 43 figs. (author)

  16. Nondestructive Testing of Tomato Growth Information Based on Machine Vision%基于机器视觉的番茄长势信息无损检测的研究

    Institute of Scientific and Technical Information of China (English)

    杭腾; 毛罕平; 张晓东; 胡静

    2015-01-01

    A rapid determination method was using machine vision in a complex natural environment to test tomato stem diameter , plant height and fruit cross-sectional area .Growth information in different growth periods of tomato were ac-quired by using CCD camera , through preprocessing the image by the median filtering method .By extracting the target re-gion by the use of automatic threshold segmentation based on the color of Otsu R-G factor method , the correlation analy-sis of fitting function for the establishment of crop growth parameters and to target image characteristic value to realize ef -fective tomato growth information .The test results show relative error of detection of tomato stem diameter in the seedling stage, blossom and fruit period , fruiting period to be 1.73%~4.04%,0.64%~4.42%,0.46%~4.78%respective-ly.The relative error of plant height and fruit cross-sectional area detection were also found to be:1.2%~6.5%,0.8%~3 .1% respectively .%提出了利用机器视觉的方法在复杂自然条件环境下对番茄的茎粗、株高和果实横截面积进行快速测定方法。通过利用CCD 获取不同生长周期下番茄的长势信息,采用中值滤波方法对图像进行预处理;采用基于 r-g颜色因子的Otsu自动阈值分割法来提取目标区域。同时,通过相关性分析建立作物长势参数与目标图像特征值的拟合函数,实现了番茄长势信息的有效获取。试验结果表明:对番茄茎粗的检测在幼苗期、开花坐果期、结果期的相对误差分别为1.73%~4.04%,0.64%~4.42%,0.46%~4.78%;株高和果实横截面积检测的相对误差分别为1.2%~6.5%,0.8%~3.1%。

  17. Research on the Extension of Dynamic Range of Textile Samples Image Based on Machine Vision%基于机器视觉的纺织样品图像动态范围扩展方法研究

    Institute of Scientific and Technical Information of China (English)

    钟平; 辛斌杰; 周陵君; 朱小龙; 崔瑛

    2011-01-01

    针对目前机器视觉采集纺织样品的图像动态范围低,严重影响对其质量的分析效果,提出一种通过多帧图像融合来改善图像质量的方法.采用对同一视场多帧不同曝光图像加权平均得到融合图像.并在融合算法中,引入数学多元统计主成份分析方法,估计不同光强条件下获取图像的权重.在处理过程中,对协方差矩阵估计权值的方法进行了改进,克服只能对一个图像子块进行统一加权的方式,实现图像中的每个像素都有恰当的权值参与图像融合,实现最大限度保持原始样品图像的信息.实验表明,该方法能显著增强图像细节特征.%The images of textile samples captured by machine vision often have low dynamic range which made the result of quality analysis inaccurate. This paper proposed a novel method to improve the quality of images by image fusion with multi-frame images. In the method, we can get the fused image by weighted average with multi-frame images which have the different exposure in the same view, and in the fusion algorithm, the weight of image under the different light intensity was estimated by the principal component analysis based on mathematical multivariate statistics. In the processing, we improved the method of estimating the weights of covariance matrix, solved the problem that just unified weighting one block of image, and made each pixel of images have the proper weight to participate in image fusion, finally retained the original information of the sample image as mush as possible. Experiments showed that the approach is effective in enhancing the details characteristics of images.

  18. 基于机器视觉瓷砖尺寸在线检测系统设计%System design of ceramic tile dimension online detection based on machine vision

    Institute of Scientific and Technical Information of China (English)

    郭峰林; 管庶安; 胡尧俊; 田魁

    2013-01-01

    Proposed a novelty ceramic tile dimension detection method based on machine vision using overhead light source with inclined installation,uses this method to carry on the ceramic tile image acquisition,then,according to the image characteristics designs ceramic tile vertex recognition algorithm and extracts the ceramic tile vertex position,then,adjusts the vertex position using the camera calibration parameter,finally,according to standard ceramic tile vertex position and relative deviation of testing ceramic tile vertex position indirectly computes ceramic tile size.Experiments show that the error of device online detection value and artificial measuring value of ceramic tile size is small and the repeated test precision of system is accuracy,which show that the online detection result is reliable.Meanwhile,the overall system can conveniently integrate with other detection facility,which is able to save the equipment cost,the manpower cost as well as the equipment occupying space for the equipment user.%提出一种上光源侧射式的机器视觉瓷砖尺寸检测新方法,利用该方法进行瓷砖图像获取,然后,根据图像特征设计瓷砖角点识别算法,提取瓷砖角点位置,接着,利用相机标定参数对角点位置进行校正,最后,根据标准瓷砖角点位置与待测瓷砖角点位置的相对偏差间接计算瓷砖尺寸.实验表明,瓷砖尺寸的在线检测值与人工测量值误差小,系统的.重复检测精度高,检测结果可信.同时,整个系统能够方便地与其他检测设备整合,能为设备使用者节省设备成本、人力成本以及设备占地空间.

  19. Design and implementation of the RTPS middleware of distributed machine vision systems%分布式机器视觉的RTPS中间件设计与实现研究

    Institute of Scientific and Technical Information of China (English)

    赵雪峰; 殷国富; 罗小川; 仲晓敏

    2011-01-01

    为了满足网络化制造中分布式机器视觉(DMV)对各种数据流的不同通信性能要求,设计了基于实时发布-订阅(RTPS)协议的中间件.通过定义中间件工作过程中的相关控制参数,对数据传输的可靠性、实时性以及网络带宽和内存等资源的使用进行了定量描述和优化.将设计的RTPS中间件应用到网络化制造中的DMV系统,进行了各种类型数据流的不同通信性能实验,包括视觉图像信息数据流,该数据流可以选择异步通信或者同步通信.对系统进行了建模和模拟实验,结果表明,与基于Client/Server的中间件相比,基于RTPS协议的中间件的延迟低,在数据包大小变化时的稳定性强,而且吞吐量很大.可见,所设计的RTPS中间件能保证DMV的实时性、可靠性、动态适应性,以及多节点对多节点的通信要求.%To meet the communication performance requirements of a network-based manufacturing system' s distributed machine vision (DMV) in data flows, the middleware was designed based on the research on the real-time publish-subscribe (RTPS) protocol. Control parameters were introduced to optimize the reliabihty and the real-time of data transmissions,as well as the use of the memory and the network bandwidth. The designed RTPS middleware was applied to a DMV system in the network-based manufacturing environment, and different communication experiments on various types of data streams were completed. In particular, the visual image information data streams could choose the type of asynchronous communication or synchronous communication. The experimental results demonstrate that the RTPS middleware is suitable for the timelines requirements for DMV systems.

  20. Parallel Algorithms for Computer Vision.

    Science.gov (United States)

    1989-01-01

    developed algorithms for sev- stage at which they are used, for example by a eral early vision processes, such as edge detection, stere - navigation...system operates by receiving a stream of instructions from its front end computer. A microcontroller receives the instructions, expands each of them...instructions flow into the Connection Machine hardware from the front end. These I macro-instructions are sent to a microcontroller , which expands them

  1. Blindness and vision loss

    Science.gov (United States)

    ... means you cannot see anything and DO NOT see light. (Most people who use the term "blindness" mean ... the vision loss. For long-term vision loss, see a low-vision specialist, who can help you learn to care for yourself and ... of vision; No light perception (NLP); Low vision; Vision loss and blindness ...

  2. Copenhagen Energy Vision

    DEFF Research Database (Denmark)

    Mathiesen, Brian Vad; Lund, Rasmus Søgaard; Connolly, David

    The short-term goal for The City of Copenhagen is a CO2 neutral energy supply by the year 2025, and the long-term vision for Denmark is a 100% renewable energy (RE) supply by the year 2050. In this project, it is concluded that Copenhagen plays a key role in this transition. The long-term vision...... of 100% RE can be achieved in a socio-economic and resource efficient way in Denmark, but local involvement is required to ensure the implementation of a Smart Energy System approach. A Smart Energy System perspective, which considers electricity, heating and transport, is applied in this study using...... the EnergyPLAN model. The model simulates the electricity, heating, cooling, industrial, and transport sectors on an hourly basis and enables the identification of new synergies between the sectors to 1) improve the efficiency of the energy system and 2) accommodate the short-term fluctuations in renewable...

  3. Visions and visioning in foresight activities

    DEFF Research Database (Denmark)

    Jørgensen, Michael Søgaard; Grosu, Dan

    2007-01-01

    The paper discusses the roles of visioning processes and visions in foresight activities and in societal discourses and changes parallel to or following foresight activities. The overall topic can be characterised as the dynamics and mechanisms that make visions and visioning processes work...... or not work. The theoretical part of the paper presents an actor-network theory approach to the analyses of visions and visioning processes, where the shaping of the visions and the visioning and what has made them work or not work is analysed. The empirical part is based on analyses of the roles of visions...... and visioning processes in a number of foresight processes from different societal contexts. The analyses have been carried out as part of the work in the COST A22 network on foresight. A vision is here understood as a description of a desirable or preferable future, compared to a scenario which is understood...

  4. Research of Vision Detection System on PCB

    Institute of Scientific and Technical Information of China (English)

    CHENG Songlin; ZHOU Zude; HU Wenjuan

    2006-01-01

    Machine vision is applied in defect detection system on PCB. The whole system structure and the principle of vision detection are introduced, while the detection method including image processing, detection and recognition algorithms are detailed. The simulation results demonstrate that through this method, four types of defects including short circuit, open circuit, protuberance and concavity on PCB circuit can be effectively inspected, located and recognized.

  5. Pleiades Visions

    Science.gov (United States)

    Whitehouse, M.

    2016-01-01

    Pleiades Visions (2012) is my new musical composition for organ that takes inspiration from traditional lore and music associated with the Pleiades (Seven Sisters) star cluster from Australian Aboriginal, Native American, and Native Hawaiian cultures. It is based on my doctoral dissertation research incorporating techniques from the fields of ethnomusicology and cultural astronomy; this research likely represents a new area of inquiry for both fields. This large-scale work employs the organ's vast sonic resources to evoke the majesty of the night sky and the expansive landscapes of the homelands of the above-mentioned peoples. Other important themes in Pleiades Visions are those of place, origins, cosmology, and the creation of the world.

  6. Cartesian visions.

    Science.gov (United States)

    Fara, Patricia

    2008-12-01

    Few original portraits exist of René Descartes, yet his theories of vision were central to Enlightenment thought. French philosophers combined his emphasis on sight with the English approach of insisting that ideas are not innate, but must be built up from experience. In particular, Denis Diderot criticised Descartes's views by describing how Nicholas Saunderson--a blind physics professor at Cambridge--relied on touch. Diderot also made Saunderson the mouthpiece for some heretical arguments against the existence of God.

  7. Lambda Vision

    Science.gov (United States)

    Czajkowski, Michael

    2014-06-01

    There is an explosion in the quantity and quality of IMINT data being captured in Intelligence Surveillance and Reconnaissance (ISR) today. While automated exploitation techniques involving computer vision are arriving, only a few architectures can manage both the storage and bandwidth of large volumes of IMINT data and also present results to analysts quickly. Lockheed Martin Advanced Technology Laboratories (ATL) has been actively researching in the area of applying Big Data cloud computing techniques to computer vision applications. This paper presents the results of this work in adopting a Lambda Architecture to process and disseminate IMINT data using computer vision algorithms. The approach embodies an end-to-end solution by processing IMINT data from sensors to serving information products quickly to analysts, independent of the size of the data. The solution lies in dividing up the architecture into a speed layer for low-latent processing and a batch layer for higher quality answers at the expense of time, but in a robust and fault-tolerant way. This approach was evaluated using a large corpus of IMINT data collected by a C-130 Shadow Harvest sensor over Afghanistan from 2010 through 2012. The evaluation data corpus included full motion video from both narrow and wide area field-of-views. The evaluation was done on a scaled-out cloud infrastructure that is similar in composition to those found in the Intelligence Community. The paper shows experimental results to prove the scalability of the architecture and precision of its results using a computer vision algorithm designed to identify man-made objects in sparse data terrain.

  8. Artificial vision.

    Science.gov (United States)

    Zarbin, M; Montemagno, C; Leary, J; Ritch, R

    2011-09-01

    A number treatment options are emerging for patients with retinal degenerative disease, including gene therapy, trophic factor therapy, visual cycle inhibitors (e.g., for patients with Stargardt disease and allied conditions), and cell transplantation. A radically different approach, which will augment but not replace these options, is termed neural prosthetics ("artificial vision"). Although rewiring of inner retinal circuits and inner retinal neuronal degeneration occur in association with photoreceptor degeneration in retinitis pigmentosa (RP), it is possible to create visually useful percepts by stimulating retinal ganglion cells electrically. This fact has lead to the development of techniques to induce photosensitivity in cells that are not light sensitive normally as well as to the development of the bionic retina. Advances in artificial vision continue at a robust pace. These advances are based on the use of molecular engineering and nanotechnology to render cells light-sensitive, to target ion channels to the appropriate cell type (e.g., bipolar cell) and/or cell region (e.g., dendritic tree vs. soma), and on sophisticated image processing algorithms that take advantage of our knowledge of signal processing in the retina. Combined with advances in gene therapy, pathway-based therapy, and cell-based therapy, "artificial vision" technologies create a powerful armamentarium with which ophthalmologists will be able to treat blindness in patients who have a variety of degenerative retinal diseases.

  9. Neural Networks for Computer Vision: A Framework for Specifications of a General Purpose Vision System

    Science.gov (United States)

    Skrzypek, Josef; Mesrobian, Edmond; Gungner, David J.

    1989-03-01

    The development of autonomous land vehicles (ALV) capable of operating in an unconstrained environment has proven to be a formidable research effort. The unpredictability of events in such an environment calls for the design of a robust perceptual system, an impossible task requiring the programming of a system bases on the expectation of future, unconstrained events. Hence, the need for a "general purpose" machine vision system that is capable of perceiving and understanding images in an unconstrained environment in real-time. The research undertaken at the UCLA Machine Perception Laboratory addresses this need by focusing on two specific issues: 1) the long term goals for machine vision research as a joint effort between the neurosciences and computer science; and 2) a framework for evaluating progress in machine vision. In the past, vision research has been carried out independently within different fields including neurosciences, psychology, computer science, and electrical engineering. Our interdisciplinary approach to vision research is based on the rigorous combination of computational neuroscience, as derived from neurophysiology and neuropsychology, with computer science and electrical engineering. The primary motivation behind our approach is that the human visual system is the only existing example of a "general purpose" vision system and using a neurally based computing substrate, it can complete all necessary visual tasks in real-time.

  10. Research and Application on the Chip Surface Defect Inspection Based on Image Processing and Machine Vision%图像处理耦合机器视觉的芯片表面缺陷检测研究与应用

    Institute of Scientific and Technical Information of China (English)

    李如平; 徐珍玉; 吴房胜

    2015-01-01

    In the microelectronics industry ,chip surface visual inspection requirements have been widely exist, while the traditional manual inspection methods are unable to correspond to the current require -ments of automation and digitization .The current application of image processing technology in electronic chip appearance inspection , but often does not have a set of system , just proposed algorithm or solutions to a problem.Therefore, this paper proposes a defective chip surface inspection system based on image processing and machine vision , and integrated implementation in software hardware .First build the cam-era, lens, light source such as hardware platform based on the image acquisition and image processing ;localization algorithm based on ROI chip area , defect identification .Finally ,introduced the IO card control drive servo , code reading device , recording chip ID based on Socket communication to complete the com-puterization of statistics , so as to improve the whole system .Finally,the mechanism of performance test , the results show that:compared with the manual method , this mechanism has higher efficiency and preci-sion.%微电子工业中芯片表面外观检查需求已广泛存在,而人眼检测已愈来愈不能对应当前自动化、数字化的要求。当前已有图像处理技术应用在电子芯片外观检查上,但往往没有整套的系统,只是针对某个问题提出算法或解决方法。对此,提出了一个图像处理耦合机器视觉的芯片表面缺陷检查系统,并在软件硬件上集成实现。首先设计并搭建光源取像平台;然后基于轮廓定位芯片ROI区域,识别各种缺陷。最后,引入IO卡控制传动伺服、读码器记录芯片ID、基于Socket通信完成电算统计,从而完善整个系统。对比实验结果显示:与人工检测方法相比,所提方案具备更高的效率和精度。

  11. Measurement method for yield component traits of maize based on machine vision%基于机器视觉的玉米果穗产量组分性状测量方法

    Institute of Scientific and Technical Information of China (English)

    周金辉; 马钦; 朱德海; 郭浩; 王越; 张晓东; 李绍明; 刘哲

    2015-01-01

    The maize variety test is an important link in the process of crop genetic breeding. The different maize varieties will produce a large number of varieties phenotype data, which need to be collected, collated, recorded, statistically analyzed and stored. Some phenotype data are related to the maize yield, such as bald rate, ear rows, row grains and so on. These maize characters are often collected by the traditional manual measurement at present. For example, the ear rows can be calculated by the maize section image which destroys the maize to be tested .Another measurement method for the ear rows is to rotate and scan the maize, which is very difficult to meet the needs of high throughput maize variety test. Aiming at the above problems, the calculation model according to the color and biological features of maize has been constructed based on the machine vision technology in this paper. The calculation model can compute the maize character parameters precisely, such as bald rate, ear rows, row grains and so on. The experimental results show that the calculation measurement has the high recognition precision and speed. The ear length ,ear diameter ,ear rows ,row grains and other yield components are taken as example for verifying the above calculation model in this paper. The experimental environment settings for image acquisition model are as follows: non wide-angle CMOS pinhole camera (portable, low cast), acquisition environment of soft light and bright place (no special light source set). The camera is 5 million pixels, and the image resolution is 2942 pixels× 1944 pixels. Shoot height is 55 cm, the shooting format is to A3. The algorithm is tested by the PC machine which is configured as a dual core cpu (1.9 GHz) and 2 GB ram. The method presented in this paper can overcome these disadvantages of traditional manual measurement, such as low efficiency, subjective error, and unable to retain the integrity of the original maize material. The method presented in

  12. Frame Rate and Human Vision

    Science.gov (United States)

    Watson, Andrew B.

    2012-01-01

    To enhance the quality of the theatre experience, the film industry is interested in achieving higher frame rates for capture and display. In this talk I will describe the basic spatio-temporal sensitivities of human vision, and how they respond to the time sequence of static images that is fundamental to cinematic presentation.

  13. Parametric Design Based on SolidWorks for Industrial Sewing Machine Casing%基于 SolidWorks 的工业平缝机机壳参数化设计

    Institute of Scientific and Technical Information of China (English)

    郭莹; 曹巨江; 张科宇

    2016-01-01

    以面向对象的VB 6.0为开发平台,结合Access建立的标准数据库,控制服务端SolidWorks二次开发接口的A PI函数,调用对象、属性、方法,实现对工业平缝机机壳参数化模块的二次开发。用该方法可以快速、准确、高效地设计出符合用户要求的工业平缝机机壳的三维模型。%The paper proposes a parametric design method of industrial sewing machine casing by use of SolidWorks .This method is based on the object-oriented VB language platform and the standard database established by Access ,to accomplish the secondary development of the parametric design module of the industrial sewing machine casing through controlling API function offered by secondary development interface of server SolidWorks and calling object ,attribute and method .The proposed method can quickly establish the three-dimensional model of the industrial sewing machine casing and it is accurate and efficient to meet the requirements of the user .

  14. Research on Industrial Robot Automated Sorting System Based on Eye-in-hand Vision%基于手眼视觉的工业机器人自动分拣系统研究

    Institute of Scientific and Technical Information of China (English)

    王金涛

    2014-01-01

    An industrial robot automated sorting system based on eye-in-hand vision is developed, for the needs of intelligent sorting application. In this system, the image of workpiece on the production line was collected by a camera. The workpiece was then identified and located via templating matching. The capture of workpiece was finally completed by the robot end-effector in the guidance of vision system. Experiments prove that this system has advantages such as flexible calibration, high positioning accuracy, and strong identification capacity on complex workpiece under cluttered background.%面向智能分拣应用需求,开发了一套基于手眼视觉的分拣系统。系统首先通过相机采集生产线上工件的图像,然后用模板匹配的方法对工件进行识别和定位,最后引导机器人末端完成工件的抓取。实验表明,本文开发的系统具有标定灵活、定位精度高,对杂乱背景下的复杂工件分拣能力强等特点。

  15. 基于机器视觉的随机纹理瓷砖的分选系统%Classification System of Random Texture Ceramic Tiles Based on Machine Vision

    Institute of Scientific and Technical Information of China (English)

    焦亮; 胡国清; Jahangir Alam SM

    2016-01-01

    针对日益加快的瓷砖生产速度与缓慢的人工分选速度之间不协调导致的瓷砖出产效率低下的问题,提出了以机器视觉软件HALCON 11.0为软件开发平台的结合瓷砖颜色、纹理特征提取的算法,以及针对多分类问题的改进多层感知器神经网络算法(MLPNN).首先对拍摄到的瓷砖图像进行去噪预处理,在HSI颜色空间中提取瓷砖的色调(Hue)特征并计算反映瓷砖的纹理特征的灰度共生矩阵(GLCM)和灰度幅值分布特征,再将得到的特征作为多层感知器的神经网络输入层神经元,然后设计以softmax为激活函数的多层感知器神经网络来进行模式匹配,并与BP神经网络模式匹配方法进行对比,最终搭建出具有简单人机交互界面的随机纹理瓷砖的分选实验样机.实验结果表明:本系统对实验的各类随机纹理瓷砖的分选准确率都在90%以上,具有较高的分选准确率,能应用于瓷砖生产实践.%Aiming at the problem of poor efficiency of ceramic tile production caused by the mismatch between higher and higher speed of production and slow speed of artificial classification, the paper presented an algorithm about extracting the features of color and texture of ceramic tiles and an algorithm about improved multilayer perceptron neural network (MLPNN) aiming at the problem of multi-classification based on machine vision software, HALCON 11.0, as the development platform. Firstly, the images of ceramic tiles were denoised as pretreatment. Then the system extracted the hue features of ceramic tiles in HSI color space, calculated the gray level co-occurrence matrix (GLCM) and gray level characteristics of amplitude distribution to reflect the texture feature of ceramic tiles, and put the features as input layer neurons of multilayer perceptron neural network. Next, the paper designed the multilayer perceptron neural network with putting softmax function as the activation for pattern matching, and

  16. Pediatric Low Vision

    Science.gov (United States)

    ... Asked Questions Español Condiciones Chinese Conditions Pediatric Low Vision What is Low Vision? Partial vision loss that cannot be corrected causes ... and play. What are the signs of Low Vision? Some signs of low vision include difficulty recognizing ...

  17. Low Vision FAQs

    Science.gov (United States)

    ... de los Ojos Cómo hablarle a su oculista Low Vision FAQs What is low vision? Low vision is a visual impairment, not ... person’s ability to perform everyday activities. What causes low vision? Low vision can result from a variety ...

  18. Pork backfat thickness on-line detection methods using machine vision%基于机器视觉的猪胴体背膘厚度在线检测技术

    Institute of Scientific and Technical Information of China (English)

    李青; 彭彦昆

    2015-01-01

    为了能在线精准测量猪胴体背膘厚度,解决人工测量过程中效率低、人为因素影响大及结缔组织易被误测量为背膘的问题。该文基于机器视觉及图像处理技术提出一种图像采集并自动测量背膘厚度的算法。在双边滤波、大律法、形态学变换的基础上,通过轮廓面积分割提取出背膘区域及其边缘轮廓,利用拟合线对轮廓边框进行拟合,判断是否包含结缔组织。若包含则针对原始图像目标测量区域像素点特征进行具体分析,去除结缔组织。然后通过直线映射,确定背膘厚度检测线,测量猪胴体背膘厚度。测试结果表明:检测方法能适应在线检测速度需求,检测正确率为93.5%,平均检测时间为0.3 s。研究结果为生猪屠宰生产线上准确、快速测量背膘厚度提供参考。%Detection of pork backfat thickness in most of the slaughtering houses depends on manual labors using measuring tools. The objective of this research was to investigate the method for detecting backfat thickness based on computer vision and image processing technologies. And the paper proposed an algorithm of image acquisition and automatically measuring backfat thickness which could solve the problems that manual measurement process had low efficiency, human factor influenced the test result and connective tissue was readily measured as backfat region. The images of pig carcass between the 6th and the 7th rib were collected by the machine vision image acquisition system on the slaughter line. The system consisted of an image acquisition module containing CCD (charge-coupled device) to capture the images and then save them in computer, a single-chip microcomputer, a detection switch, the calibration rule and the light source in system that could be regulated by the controller to change intensity, and the image processing algorithm was equipped into the self-developed system embedded in the computer. The

  19. Color vision.

    Science.gov (United States)

    Gegenfurtner, Karl R; Kiper, Daniel C

    2003-01-01

    Color vision starts with the absorption of light in the retinal cone photoreceptors, which transduce electromagnetic energy into electrical voltages. These voltages are transformed into action potentials by a complicated network of cells in the retina. The information is sent to the visual cortex via the lateral geniculate nucleus (LGN) in three separate color-opponent channels that have been characterized psychophysically, physiologically, and computationally. The properties of cells in the retina and LGN account for a surprisingly large body of psychophysical literature. This suggests that several fundamental computations involved in color perception occur at early levels of processing. In the cortex, information from the three retino-geniculate channels is combined to enable perception of a large variety of different hues. Furthermore, recent evidence suggests that color analysis and coding cannot be separated from the analysis and coding of other visual attributes such as form and motion. Though there are some brain areas that are more sensitive to color than others, color vision emerges through the combined activity of neurons in many different areas.

  20. Energy visions 2050

    Energy Technology Data Exchange (ETDEWEB)

    2009-07-01

    Energy Visions 2050 considers measures for addressing the enormous future challenges facing the energy sector, focusing on technological and techno-economic perspectives. The analysis of the development of technologies covers the whole energy chain, highlighting the necessity of efficient energy use in all activities of societies. The contents include a discussion on potential future low-emission and renewable energy conversion technologies, as well as new technology solutions in the industrial, building and transport sectors and in energy supply systems. The move towards zero-emission energy systems has consequenses for energy supply, and makes the analysis of energy resources presented in the book all the more valuable. Scenarios of alternative development paths to 2050 at the global, European and Finnish levels are presented, assuming different technological development options, economic growth rates, degrees of globalisation and information flows. The results show interesting differences between the scenarios with regard to energy production and use, mitigation of greenhouse gas emissions, and global warming. Energy Visions 2050 in mainly intended for those who have a fairly good knowledge of the energy sector and energy technologies, e.g. energy policymakers, experts responsible for energy-related issues in industry, and investors in energy technologies. The topics are approached from a global perspective. In some technological details, however, Finnish technology and Finland's technological achievements are highlighted. The topics and viewpoints of the book will certainly be of interest to international readers as well

  1. Impairments to Vision

    Science.gov (United States)

    ... an external Non-Government web site. Impairments to Vision Normal Vision Diabetic Retinopathy Age-related Macular Degeneration In this ... pictures, fixate on the nose to simulate the vision loss. In diabetic retinopathy, the blood vessels in ...

  2. Color vision test

    Science.gov (United States)

    ... present from birth) color vision problems: Achromatopsia -- complete color blindness , seeing only shades of gray Deuteranopia -- difficulty telling ... Vision test - color; Ishihara color vision test Images Color blindness tests References Bowling B. Hereditary fundus dystrophies. In: ...

  3. QUALITY ASSESSMENT OF BISCUITS USING COMPUTER VISION

    Directory of Open Access Journals (Sweden)

    Archana A. Bade

    2016-08-01

    Full Text Available As the developments and customer expectations in the high quality foods are increasing day by day, it becomes very essential for the food industries to maintain the quality of the product. Therefore it is necessary to have the quality inspection system for the product before packaging. Automation in the industry gives better inspection speed as compared to the human vision. The automation based on the computer vision is cost effective, flexible and provides one of the best alternatives for more accurate, fast inspection system. Image processing and image analysis are the vital part of the computer vision system. In this paper, we discuss real time quality inspection of the biscuits of premium class using computer vision. It contains the designing of the system, implementing, verifying it and installation of the complete system at the biscuit industry. Overall system contains Image acquisition, Preprocessing, Important feature extraction using segmentation, Color variations and Interpretation and the system hardware.

  4. Machine Translation

    Institute of Scientific and Technical Information of China (English)

    张严心

    2015-01-01

    As a kind of ancillary translation tool, Machine Translation has been paid increasing attention to and received different kinds of study by a great deal of researchers and scholars for a long time. To know the definition of Machine Translation and to analyse its benefits and problems are significant for translators in order to make good use of Machine Translation, and helpful to develop and consummate Machine Translation Systems in the future.

  5. The Water White Paper is a positive vision for the future of the industry but questions remain on the issues of competition and affordability\\ud

    OpenAIRE

    2012-01-01

    The Water White Paper offers a real opportunity to build on the successes of the existing arrangement and ensure a sustainable industry. The government has taken a huge stride forward by recognising the need to address the problem of water affordability for low income households, although, as Tony Smith argues, the plans to tackle the issue fall short of what is needed.\\ud

  6. The Water White Paper is a positive vision for the future of the industry but questions remain on the issues of competition and affordability

    OpenAIRE

    Smith, Tony

    2012-01-01

    The Water White Paper offers a real opportunity to build on the successes of the existing arrangement and ensure a sustainable industry. The government has taken a huge stride forward by recognising the need to address the problem of water affordability for low income households, although, as Tony Smith argues, the plans to tackle the issue fall short of what is needed.

  7. Artificial vision.

    Science.gov (United States)

    Humayun, M S; de Juan, E

    1998-01-01

    Outer retinal degenerations such as retinitis pigmentosa (RP) and age-related macular degeneration (AMD) lead to blindness because of photoreceptor degeneration. To test whether controlled electrical stimulation of the remaining retinal neurons could provide form vision, we electrically stimulated the inner retinal surface with micro-electrodes inserted through the sclera/eye wall of 14 of these patients (12 RP and 2 AMD). This procedure was performed in the operating room under local anaesthesia and all responses were recorded via a video camera mounted on the surgical microscope. Electrical stimulation of the inner retinal surface elicited visual perception of a spot of light (phosphene) in all subjects. This perception was retinotopically correct in 13 of 14 patients. In a resolution test in a subject with no light perception, the patient could resolve phosphenes at 1.75 degrees centre-to-centre distance (i.e. visual acuity compatible with mobility; Snellen visual acuity of 4/200).

  8. Sustainable machining

    CERN Document Server

    2017-01-01

    This book provides an overview on current sustainable machining. Its chapters cover the concept in economic, social and environmental dimensions. It provides the reader with proper ways to handle several pollutants produced during the machining process. The book is useful on both undergraduate and postgraduate levels and it is of interest to all those working with manufacturing and machining technology.

  9. An SVM-Based Classifier for Estimating the State of Various Rotating Components in Agro-Industrial Machinery with a Vibration Signal Acquired from a Single Point on the Machine Chassis

    Directory of Open Access Journals (Sweden)

    Ruben Ruiz-Gonzalez

    2014-11-01

    Full Text Available The goal of this article is to assess the feasibility of estimating the state of various rotating components in agro-industrial machinery by employing just one vibration signal acquired from a single point on the machine chassis. To do so, a Support Vector Machine (SVM-based system is employed. Experimental tests evaluated this system by acquiring vibration data from a single point of an agricultural harvester, while varying several of its working conditions. The whole process included two major steps. Initially, the vibration data were preprocessed through twelve feature extraction algorithms, after which the Exhaustive Search method selected the most suitable features. Secondly, the SVM-based system accuracy was evaluated by using Leave-One-Out cross-validation, with the selected features as the input data. The results of this study provide evidence that (i accurate estimation of the status of various rotating components in agro-industrial machinery is possible by processing the vibration signal acquired from a single point on the machine structure; (ii the vibration signal can be acquired with a uniaxial accelerometer, the orientation of which does not significantly affect the classification accuracy; and, (iii when using an SVM classifier, an 85% mean cross-validation accuracy can be reached, which only requires a maximum of seven features as its input, and no significant improvements are noted between the use of either nonlinear or linear kernels.

  10. FY 1999 report on the survey of the history/inheritance of industrial technology. Survey of originality and creativity in machine technology in the Japanese industry; 1999 nendo sangyo gijutsu rekishi keisho chosa hokokusho. Kokunai sangyo no kikai gijutsu no dokusosei to sozosei no chosa hen

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    2000-03-01

    Fifty years after the Second World War, Japan became the first runner in the R and D of industrial technology in the world. For the purpose of clarifying the course of promotion of the original/creative future R and D and contributing to selection of technical themes and working-out of developmental methods, survey was conducted of persons who conducted epoch-making R and D in machine technology, entrepreneurs of Japan's own and persons who contributed to education of engineers. The FY 1999 results were reported. In this fiscal year, the detailed survey of the following eight was conducted in terms of the achievements and the related data: C. D. West, educator of mechanical engineering; Seiichi Tejima, pioneer of industrial education; Yaekichi Sekiguchi, pioneer of machine tool; Saiichiro Uchimaru who devoted himself to writing of engineering books; Chuzaburo Shiba, specialist of ship use engine; Takeo Yamanobe, pioneer engineer in the spinning industry in Japan; Toyota Kiichiro who promoted the automobile industry in Japan; Soichiro Honda who built the world-famous 'Honda.' The paper also surveyed biographies of machine engineers/managers in Japan and made a list of them. (NEDO)

  11. Of machines and men ...

    CERN Multimedia

    CERN; Daniel Boileau

    1990-01-01

    Engineering and construction at LEP. Committed work and physicists motivation to work on this type of machine. With Guido Altarelli Theory Division Physicist, Ugo Amaldi Delphi Experiment Spokesman, Oscar Barbalat Head of Industry and Technology Liaison Office, Jonathan Ellis Head of Theory Division.

  12. Technology Time Machine 2012

    DEFF Research Database (Denmark)

    Lehner, Wolfgang; Fettweis, Gerhard; Fitzek, Frank

    2013-01-01

    The IEEE Technology Time Machine (TTM) is a unique event for industry leaders, academics, and decision making government officials who direct R&D activities, plan research programs or manage portfolios of research activities. This report covers the main topics of the 2nd Symposium of future...

  13. Bold Vision

    Institute of Scientific and Technical Information of China (English)

    SuShah

    2003-01-01

    China's official entry into the WTO, together with the amazingly rapid upgrading of its Internet technology, has rocketed China into the global arena. We now urgently need to reflect on how to develop the Chinese publishing industry so that it can keep pace with the globalization of the 21st century.

  14. Detection of multi-corn kernel embryos characteristic using machine vision%基于机器视觉的多个玉米籽粒胚部特征检测

    Institute of Scientific and Technical Information of China (English)

    程洪; 史智兴; 尹辉娟; 冯娟; 李亚南

    2013-01-01

    This paper presents a method of multi-corn kernel embryos detection based on threshold segmentation and morphology. Corn kernel varieties identification is of great significance in the fields of agricultural production and crop breeding. In the seed market of China, the identification of corn varieties mainly depends on manual experience and measurement. In order to automatically, quickly, non-destructively identify kernel varieties, the study of automatic identification in a real time using machine vision technology is very active. Determination of the characteristics of the corn kernel is the first and the most important step of automatic identification. The corn kernel embryo is the most important part of the corn kernel. To analyze the characteristics of an embryo, an embryo must be separated from the corn kernel. The embryo detection speed and precision can influence the speed and precision of identification. In the paper, an algorithm based on threshold segmentation and morphology was proposed to segment embryos of multi-corn kernel at the same time, as a result of the deeper study of the identification. This algorithm was used to obtain multi-corn kernel embryos from a 2D digital image obtained by the scanner. It mainly included two parts, i.e. a maximum between-cluster deviation method (Otsu method) excluding pixels with zero value automatically, and improved open-close operation from morphology. Its process was as follow. In RGB color space, the multi-corn kernel embryos in the same image were segmented out at the same time by Otsu excluding pixels with zero value method based on the value of B(blue), in which the zero value pixels were auto-removed form histogram during processing. However, after segmentation, some corn kernel embryos showed a problem of lacking-segmentation or over-segmentation. To solve the problem, the improved open-close operation was used to repair the embryos. To validate the algorithm, four varieties of yellow corn which were

  15. Integration of vision and robotic workcell

    Science.gov (United States)

    Bossieux, T. A.

    1994-01-01

    The paper discusses the incorporation of vision into a robotic cell to obtain cell status information and use this information to influence the robot operation. It discusses both mechanical and informational solutions to the operational issues which are present. The cell uses a machine vision system to determine information about part presence in the shipping tray, part location in the tray, and tray orientation. The vision system's edge detector algorithm is used to identify the orientation of the packing trays. In addition, different vision tools are used to determine if parts are present in the trays based on the unique configuration of the individual parts. The mechanical solutions discuss the handling of medium weight (10 - 25 lb.) parts at an average cycle time of 3.1 seconds per part. The robot gripper must handle 33 different models, three identical parts at a time. This is accomplished by using stacks of rotary actuators and slides between the stacks.

  16. Near Vision Test for Adults

    Science.gov (United States)

    ... Financial Assistance Information Vision Screening and Eye Exams Zika Virus and Vision Eye Problems Eye Problems Amblyopia ( ... Eye Health Report Reports and External Resources The Cost of Vision Problems The Future of Vision Vision ...

  17. Biological Basis For Computer Vision: Some Perspectives

    Science.gov (United States)

    Gupta, Madan M.

    1990-03-01

    Using biology as a basis for the development of sensors, devices and computer vision systems is a challenge to systems and vision scientists. It is also a field of promising research for engineering applications. Biological sensory systems, such as vision, touch and hearing, sense different physical phenomena from our environment, yet they possess some common mathematical functions. These mathematical functions are cast into the neural layers which are distributed throughout our sensory regions, sensory information transmission channels and in the cortex, the centre of perception. In this paper, we are concerned with the study of the biological vision system and the emulation of some of its mathematical functions, both retinal and visual cortex, for the development of a robust computer vision system. This field of research is not only intriguing, but offers a great challenge to systems scientists in the development of functional algorithms. These functional algorithms can be generalized for further studies in such fields as signal processing, control systems and image processing. Our studies are heavily dependent on the the use of fuzzy - neural layers and generalized receptive fields. Building blocks of such neural layers and receptive fields may lead to the design of better sensors and better computer vision systems. It is hoped that these studies will lead to the development of better artificial vision systems with various applications to vision prosthesis for the blind, robotic vision, medical imaging, medical sensors, industrial automation, remote sensing, space stations and ocean exploration.

  18. 基于流形学习算法的马铃薯机械损伤机器视觉检测方法%Machine vision detecting potato mechanical damage based on manifold learning algorithm

    Institute of Scientific and Technical Information of China (English)

    汪成龙; 李小昱; 武振中; 周竹; 冯耀泽

    2014-01-01

    Buds and uneven surface of potatoes have caused problems to detect the mechanical damage based on machine vision. The lighting conditions and gray value changes of defect region have great impacts on the pixel level feature extraction. While manifold learning methods have been extensively studied in the face recognition, they have not been used for the external quality inspection of agricultural products. The manifold learning method is mainly divided into linear and nonlinear manifold learning algorithms. The nonlinear manifold learning algorithm includes isometric mapping (Isomap), locally linear embedding (LLE), laplacian eigenmaping (LE). The linear algorithm is extension of the nonlinear methods such as principal component analysis (PCA) and multidimensional scaling (MDS). In order to weaken the influence of the buds and uneven surface on potatoes mechanical damage detection, the image was characterized by using low dimensional manifolds. A mechanical damage detection method for potatoes was provided based on manifold learning. In this study, the Saliency and H images were firstly segmented on the potato regional image. The segmentation accuracies of both images are 100%. However, Saliency-H method can the potato’s location information of the image by unsupervised pattern was automatically obtained. In addition, Saliency-H method was faster (average elapsed time is 477.7ms) than H method with a high data compression rate. After the potato region images were resampled from 1024×768 to 64×64, the features of potato images were extracted from the resample images by using the three manifold learning methods: principal component analysis (PCA), isometric mapping (Isomap) and locally linear embedding (LLE). Thirdly, the three corresponding SVM classification models were developed based on their features. Finally the parameters of the models were optimized to develop corresponding optimal classification models by using the grid search method (grid search

  19. 从第四次产业革命探讨工业4.0构想与愿景%Exploration of the Vision and Idea of Industrial 4.0 from the Fourth Industrial Revolution

    Institute of Scientific and Technical Information of China (English)

    刘端直

    2016-01-01

    The concept was proposed by Germany, it reflects the historical inevitability of the stages in the process of industrial revolution.The current manufacturing industry in the world is dramatically different comparing to the past.As a matter of factor, in many sections, robots are more or less replacing human labors.With further development, automation will further integrate with transmission and information technology, which will be another mile stone for the development of industry.Industry 4.0 presents the prospect of the human being about the 4th industrial revolution.%工业4.0由德国倡导,反映了工业革命发展进程中的历史必然。世界制造业今非昔比,许多领域已有不同程度的工业机器人运作,取代了人力。如若再向前,自动化生产与传感及信息技术的进一步融合,必然带来历史新飞跃。工业4.0就是人类第四次工业产业革命的愿景。

  20. Finite element modeling and analysis of the presser foot of the GD2308 high speed tacking industrial sewing machine%GD2308高速加固缝纫机压脚有限元建模与分析

    Institute of Scientific and Technical Information of China (English)

    刘银; 初嘉鹏; 余明

    2011-01-01

    For vibration and noise reduction of industrial sewing machines, the finite element (FM) model of the presser foot of the GD2308 high speed tacking industrial sewing machine is established based on its structure characteristic and working performance by CATIA. The model is meshed using ANSYS for finite element analysis, and the dynamic characteristic of presser foot is analyzed. The first ten natural frequencies and the first six vibration modes of the presser foot are given. The output of computation shows that the vibration modes of the presser foot are mainly bending, twisting, and their combination. The dynamic analysis of the presser foot may predict the faults in structural design, and provide some scientific basis for reducing the structural vibration and the noise of the high speed tacking industrial sewing machine.%以工业缝纫机的减振降噪为应用背景,针对其结构特点及工作特性,通过CATIA对GD2308高速加固缝纫机压脚进行有限元建模,应用有限元软件ANSYS对压脚进行网格的划分,生成有限元分析模型,对压脚进行动态特性分析,计算压脚的前10阶固有频率与前6阶振型,给出振型图.分析结果表明,压脚结构振动主要表现为弯曲、扭转和弯扭组合形态.通过压脚动态特性分析,能够预知结构设计的薄弱环节,为减振降噪与结构改型提供参考.

  1. Vision Systems with the Human in the Loop

    Directory of Open Access Journals (Sweden)

    Bauckhage Christian

    2005-01-01

    Full Text Available The emerging cognitive vision paradigm deals with vision systems that apply machine learning and automatic reasoning in order to learn from what they perceive. Cognitive vision systems can rate the relevance and consistency of newly acquired knowledge, they can adapt to their environment and thus will exhibit high robustness. This contribution presents vision systems that aim at flexibility and robustness. One is tailored for content-based image retrieval, the others are cognitive vision systems that constitute prototypes of visual active memories which evaluate, gather, and integrate contextual knowledge for visual analysis. All three systems are designed to interact with human users. After we will have discussed adaptive content-based image retrieval and object and action recognition in an office environment, the issue of assessing cognitive systems will be raised. Experiences from psychologically evaluated human-machine interactions will be reported and the promising potential of psychologically-based usability experiments will be stressed.

  2. On Implementation path and Benefit Analysis of Footwear Industry“Machine Substitutions”Based on Industry 4.0--Taking Wenzhou Footwear Industry for example%工业4.0环境下的鞋类企业“机器换人”实施路径及效益分析*--以温州地区的鞋企为例

    Institute of Scientific and Technical Information of China (English)

    石娜

    2016-01-01

    Faced with the economic new normal of the"industrial 4"manufacturing transformation and upgrading, footwear en-terprises as the pillar industry of Wenzhou light industrial products carry out“machine substitutions”to improve design and produc-tion capacity, and solve the shortage of workers, thus to further enhance the quality of products and brand connotation and obtain great-er benefits. Through the path and benefit analysis on machine substitutions, the paper provides feasible basis for Wenzhou shoe enter-prises to the full implementation of“machine substitutions”.%在面临“工业4.0”制造业转型升级的经济新常态下,作为温州轻工产品支柱产业的鞋类企业应实施“机器换人”提高设计和生产能力解决用工问题,进而提升产品质量和品牌内涵,获取更大效益。通过对“机器换人”的路径和效益分析,为温州鞋企全面实施“机器换人”提供可行依据。

  3. Nontraditional machining processes research advances

    CERN Document Server

    2013-01-01

    Nontraditional machining employs processes that remove material by various methods involving thermal, electrical, chemical and mechanical energy or even combinations of these. Nontraditional Machining Processes covers recent research and development in techniques and processes which focus on achieving high accuracies and good surface finishes, parts machined without burrs or residual stresses especially with materials that cannot be machined by conventional methods. With applications to the automotive, aircraft and mould and die industries, Nontraditional Machining Processes explores different aspects and processes through dedicated chapters. The seven chapters explore recent research into a range of topics including laser assisted manufacturing, abrasive water jet milling and hybrid processes. Students and researchers will find the practical examples and new processes useful for both reference and for developing further processes. Industry professionals and materials engineers will also find Nontraditional M...

  4. The Symbolic Vision & Architectural Aesthetics in Post-industrial Society%后工业时代的符号视觉与建筑美学

    Institute of Scientific and Technical Information of China (English)

    秦乐

    2011-01-01

    文章通过对符号学理论的历史回溯与实例分析,阐述了后工业社会背景下视觉艺术及建筑美学的嬗变规律,并指出后现代思潮中两种重要思想的一般特征和差异。%Based on the historical recollection and example analysis of semiology theory,the article expounds the change rule of visual art and architectural aesthetics in the context of post-industrial society,and points out the general characteristic and difference that exist in the important two of postmodern thoughts.

  5. Simple machines

    CERN Document Server

    Graybill, George

    2007-01-01

    Just how simple are simple machines? With our ready-to-use resource, they are simple to teach and easy to learn! Chocked full of information and activities, we begin with a look at force, motion and work, and examples of simple machines in daily life are given. With this background, we move on to different kinds of simple machines including: Levers, Inclined Planes, Wedges, Screws, Pulleys, and Wheels and Axles. An exploration of some compound machines follows, such as the can opener. Our resource is a real time-saver as all the reading passages, student activities are provided. Presented in s

  6. Machine shop basics

    CERN Document Server

    Miller, Rex

    2004-01-01

    Use the right tool the right wayHere, fully updated to include new machines and electronic/digital controls, is the ultimate guide to basic machine shop equipment and how to use it. Whether you're a professional machinist, an apprentice, a trade student, or a handy homeowner, this fully illustrated volume helps you define tools and use them properly and safely. It's packed with review questions for students, and loaded with answers you need on the job.Mark Richard Miller is a Professor and Chairman of the Industrial Technology Department at Texas A&M University in Kingsville, T

  7. 依据标准探讨机床电气回路保护技术及其运用%Protection Technology of Machine Electrical Circuit and Its Practical Applications Based on the Relevant In-dustry Standards

    Institute of Scientific and Technical Information of China (English)

    孙伟; 马永青

    2015-01-01

    Machine tools' electrical design , installation and usage are related to the electrical circuit choosing , the specifications specify-ing of cables and circuit breaker and the technical conditions of electri-cal components etc . When the machine appears electrically abnormal or operating failure , the main work is speculating the failure through ana-lyzing the protection technology of electrical circuit . This paper is to explore the protection technology of machine tools' electrical circuit and its practical applications based on the relevant national and corporate industry standards .%机床的电气设计、安装与使用一定会涉及到电气回路的选择、电缆及断路器的规格指定、电气元器件的技术条件等等.而当机床出现电气装置异常或运转失效时,也会以分析电气回路的保护技术为主来推测故障.本文依据相关的国家及企业行业标准来探讨机床电气回路的保护技术和应用.

  8. USSR Report, Machine Tools and Metalworking Equipment, No. 6

    Science.gov (United States)

    2007-11-02

    operators, forsee shortages of equipment for individual machine groups, or take into account wastage due to nonideal manufacturing condipions. Let us...manufacture, chemical and petroleum machine building, and machine building for light industry, the food industry, and household appliance manufacture...Building for Light and Food Industry and Household Appliances for a group of tool shops at machine-building plants in Kiev, Vinnintsa, and Poltava

  9. Manufacturing Vision Development – Process and Dialogue

    DEFF Research Database (Denmark)

    Dukovska-Popovska, Iskra

    This Ph.D. project has been conducted in the context of PRODUCTION+5 methodology for devel¬oping manufacturing visions for companies, and related to Experimental Laboratory for Production. Both have been established in the Center for Industrial Production. The empirical parts of the research...... involve case studies of three companies that are part of the MCD-process. The cases primarily are focusing on the process and the dialogue dur¬ing the manufacturing vision development....

  10. Methods and experiments of obtaining corn population based on machine vision%基于机器视觉的玉米植株数量获取方法与试验

    Institute of Scientific and Technical Information of China (English)

    贾洪雷; 王刚; 郭明卓; Dylan Shah; 姜鑫铭; 赵佳乐

    2015-01-01

    获得田间的玉米植株数量对于优化不同玉米品种的种植密度有重要意义,玉米植株数量也是计算新玉米品种平均每株产量的重要参数。为了减轻人工获得玉米植株数量的劳动强度,提高数据的准确率,该文利用基于机器视觉的图像处理技术来获得玉米植株数量。被留高茬玉米收获机作业之后的地块,有一定高度的玉米秸秆站立在地表,摄录这样的图像信息可以大大简化图像处理的难度,提高结果的精确度,所以将图像采集装置安装在留高茬玉米收获机之后来获得视频流。后处理过程中,将视频文件分解为图片文件,然后将真彩色的RGB图片文件转化成灰度图像进行图片的配准,再将灰度图像转化为二值图像进行图像分割与边界提取,最后找到玉米秸秆断面的几何中心并进行标记,统计标记结果即获得玉米植株数量。试验结果显示,人工播种与机械播种在图像识别的误差上没有显著差异(P>0.05);机器视觉识别出来的玉米植株数量与实际数量也没有显著差异(P>0.05),其平均误差为6.7%;并且该误差不会随着图像中玉米植株数量的增加而产生积累。该文的设计可以降低机器视觉在识别玉米植株数量过程中的难度,提高图像识别的准确度,更好地服务生产实际问题。%It is very important to count corn population for optimizing plant density of each corn variety, and corn population is also a very important parameter for calculating average yield of each corn plant. Generally speaking, there are three methods to count corn population, which are based on mechanism, photoelectric technology and machine vision separately. In order to decrease the labor intensity and improve the accuracy, image identifying technology is used in this paper to obtain corn population. As corn seedling and weeds have some similarities, and not every corn

  11. [Effect of vibration, noise, physical exertion and unfavorable microclimate on carbohydrate metabolism in workers engaged into mining industry and machine building].

    Science.gov (United States)

    Lapko, I V; Kir'iakov, V A; Antoshina, L I; Pavlovskaia, N A; Kondratovich, S V

    2014-01-01

    The authors studied influence of vibration, noise, physical overexertion and microclimate on carbohydrates metabolism and insulin resistance in metal mining industry workers. Findings are that vibration disease appeared to have maximal effect on insulin resistance test results and insulin level. The authors suggested biomarkers for early diagnosis of insulin resistance disorders in metal mining industry workers.

  12. Electric machine

    Science.gov (United States)

    El-Refaie, Ayman Mohamed Fawzi [Niskayuna, NY; Reddy, Patel Bhageerath [Madison, WI

    2012-07-17

    An interior permanent magnet electric machine is disclosed. The interior permanent magnet electric machine comprises a rotor comprising a plurality of radially placed magnets each having a proximal end and a distal end, wherein each magnet comprises a plurality of magnetic segments and at least one magnetic segment towards the distal end comprises a high resistivity magnetic material.

  13. Three-Dimensional Robotic Vision System

    Science.gov (United States)

    Nguyen, Thinh V.

    1989-01-01

    Stereoscopy and motion provide clues to outlines of objects. Digital image-processing system acts as "intelligent" automatic machine-vision system by processing views from stereoscopic television cameras into three-dimensional coordinates of moving object in view. Epipolar-line technique used to find corresponding points in stereoscopic views. Robotic vision system analyzes views from two television cameras to detect rigid three-dimensional objects and reconstruct numerically in terms of coordinates of corner points. Stereoscopy and effects of motion on two images complement each other in providing image-analyzing subsystem with clues to natures and locations of principal features.

  14. 冲压机械致工业性手外伤危险因素的病例对照研究%A Case-Control Study of Industrial Hand Injuries by Punch Machines

    Institute of Scientific and Technical Information of China (English)

    傅阳; 潘福根; 叶作舟; 吴晓天; 陈亮

    2014-01-01

    Objective To identify factors associated with industrial hand injuries by punch machines. Methods From Jun 2010 to Jun 2011, 87 patients of industrial hand injuries by punch machines were collected. For each patient, 2 controls were randomly selected. One was from the same industry; the other was from a big industry with thousands of punch machines. They marched on gender, jobs and age. In-persons interviews were conducted to collect data on demographics, work history, work characteristics, work injuries, work organization, health behaviors, anthropometric and psychological factors. Risk factors were examined via multivariate logistic regression techniques. Results There were four important factors affecting hand injuries by punch machines: the first was the length of daily working time index (odds ratio [OR]1.50, 95% confidence interval [CI]=1.12, 1.32). The second index was working hours before injury (OR=1.22, 95%CI=1.02, 1.27). A safety equipment index (OR=0.26, 95%CI=0.12, 0.56) and a safety operation criterion index (OR=0.35, 95%CI=0.31, 0.41) were also significant factors. Conclusion Results suggest that the accident-prone population are those who have shorter service length and working hours. It may reduce the incidence of industrial hand injuries by punch machine to strengthen the appliance of safety equipment and enforcement of safety operation criterion, especially to the accident -prone population.%目的:了解冲压机械所致工业性手外伤的危险因素和有事故倾向性的人群。方法采用1:2配比的病例对照研究方法,对收治的冲压机械所致急诊工业性手外伤患者及其对照人群开展可能危险因素的调查。采用SPSS软件进行单因素分析和多因素条件Logistic回归模型拟合。多因素条件Logistic回归模型拟合时采用逐步回归分析方法,将变量引入模型的显著性水平设为0.05。共有符合条件的病例94例,因各种原因而未进入调查7

  15. Dynamics of cyclic machines

    CERN Document Server

    Vulfson, Iosif

    2015-01-01

    This book focuses on modern methods of oscillation analysis in machines, including cyclic action mechanisms (linkages, cams, steppers, etc.). It presents schematization techniques and mathematical descriptions of oscillating systems, taking into account the variability of the parameters and nonlinearities, engineering evaluations of dynamic errors, and oscillation suppression methods. The majority of the book is devoted to the development of new methods of dynamic analysis and synthesis for cyclic machines that form regular oscillatory systems with multiple duplicate modules.  There are also sections examining aspects of general engineering interest (nonlinear dissipative forces, systems with non-stationary constraints, impacts and pseudo-impacts in clearances, etc.)  The examples in the book are based on the widely used results of theoretical and experimental studies as well as engineering calculations carried out in relation to machines used in the textile, light, polygraphic and other industries. Particu...

  16. Riemannian computing in computer vision

    CERN Document Server

    Srivastava, Anuj

    2016-01-01

    This book presents a comprehensive treatise on Riemannian geometric computations and related statistical inferences in several computer vision problems. This edited volume includes chapter contributions from leading figures in the field of computer vision who are applying Riemannian geometric approaches in problems such as face recognition, activity recognition, object detection, biomedical image analysis, and structure-from-motion. Some of the mathematical entities that necessitate a geometric analysis include rotation matrices (e.g. in modeling camera motion), stick figures (e.g. for activity recognition), subspace comparisons (e.g. in face recognition), symmetric positive-definite matrices (e.g. in diffusion tensor imaging), and function-spaces (e.g. in studying shapes of closed contours).   ·         Illustrates Riemannian computing theory on applications in computer vision, machine learning, and robotics ·         Emphasis on algorithmic advances that will allow re-application in other...

  17. Report on survey in fiscal 2000 on the survey on succession of history of industrial technologies. Survey edition of originality and creativity of industrial machine technologies in Japan; 2000 nendo sangyo gijutsu rekishi keisho chsao hokokusho. Kokunai sangyo kikai gijutsu no dokusosei to sozosei noc hosahen

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    2001-03-01

    In order to clarify the innovation process of industrial technologies in Japan and the originality and creativity seen in the process, the case history has been introduced in relation with the researchers, engineers, and business proprietors having contributed to the innovation, and their work records. With regard to machine tools, detailed introductions were given to 'Toshisuke Takeo' who had the technological concept learned in the United States, and devoted himself in building modern machine tools, an American, 'Willian R. Gorham', who had worked actively in Japan even during the war, 'Hiroshi Hanaoka' who had made a machining center for the first time in Japan, and 'Shinkichi Nagaoka' a developer of the non-circular flat bearing. In the railway area, 'Richard Francis Trevithick' and 'Francis Henry Trevithick' , leaders of the rolling stock manufacturing technologies, 'Yasujiro Shima' who had contributed to building the foundation of the Japan's rolling stock technologies, 'Kiichi Asakura' who had contributed to establishment of the Japan's rolling stock technologies and industry standardization, and 'Hideo Shima' who had borne fruit of systematization of the Japan's railway technologies by building the Shinkansen were introduced in detail. (NEDO)

  18. The Machine within the Machine

    CERN Multimedia

    Katarina Anthony

    2014-01-01

    Although Virtual Machines are widespread across CERN, you probably won't have heard of them unless you work for an experiment. Virtual machines - known as VMs - allow you to create a separate machine within your own, allowing you to run Linux on your Mac, or Windows on your Linux - whatever combination you need.   Using a CERN Virtual Machine, a Linux analysis software runs on a Macbook. When it comes to LHC data, one of the primary issues collaborations face is the diversity of computing environments among collaborators spread across the world. What if an institute cannot run the analysis software because they use different operating systems? "That's where the CernVM project comes in," says Gerardo Ganis, PH-SFT staff member and leader of the CernVM project. "We were able to respond to experimentalists' concerns by providing a virtual machine package that could be used to run experiment software. This way, no matter what hardware they have ...

  19. Research on Maize Leaf Recognition of Characteristics from Transmission Image Based on Machine Vision%基于机器视觉的玉米叶片透射图像特征识别研究

    Institute of Scientific and Technical Information of China (English)

    唐俊; 邓立苗; 陈辉; 栾涛; 马文杰

    2014-01-01

    The purpose of the study was to create database of characteristics from maize leaf transmission images, analyze the rules of characteristics variation with maize varieties and the recognition results of different types of characteristics in order to provide a basis for further research of identifying maize varieties from leaf transmission image of different growth periods based on machine vision. [Method] Twenty-one common varieties of maize were selected as the research materials. The maize leaves at jointing stage, small bell stage, large bell stage and tasselling stage were collected. A total of 420 high quality transmission images of maize leaves were taken in lamp box. The software for characteristic extraction and recognition of maize leaves was designed and developed based on Matlab R2009a, which included image preprocessing module, characteristic extraction module, neural network recognition module and threshold selection module. The transmission images of maize leaves at jointing stage, small bell stage, large bell stage and tasselling stage were pre-processed by the software. Then 48 characteristics of color group, shape group and texture group were extracted from transmission images of maize leaf, and a total of 20 160 characteristic data. In order to study the rules of characteinristics variation with maize varieties, the coefficient of variation of 48 characteristics of leaf transmission image among different maize varieties were analyzed. In order to search the important characteristics with strong ability of identifying maize varieties from transmission images of leaves, the Artificial Neural Network was built and the recognition rate of single characteristics from different time were analyzed. In order to study the recognition results, the recognition rates of the three groups of characteristics and the group combinations of characteristics from different time were further analyzed. [Result] The results in 4 stages indicated that there were

  20. Enterprise brand construction based on the enterprise in bowang machine tool industry cluster%基于企业视角的博望机床产业品牌建设

    Institute of Scientific and Technical Information of China (English)

    何莉; 吴永纯; 李德俊

    2011-01-01

    Bowang town is an under developed typical region.The present situation of Bowang machine tool industry cluster is investigated.Based on the brand,the problems in the development are analyzed,like brand awareness,weak brand foundation,few number of brands,low brand quality,the cluster consciousness indifference.The countermeasures for the Bowang machine tool industry cluster are explored:strengthening brand awareness,reinforceing brand and striving for brand management,enhancing brand innovation,expanding and growing stronger brand relying on industry clusters.%博望镇是欠发达地区产业集群的典型区域,深入到博望镇及博望机床企业了解其产业和品牌建设现状.基于企业的视角,剖析博望机床产业品牌存在的问题:品牌意识不强、品牌基础薄弱、品牌数量偏少、品牌品质偏低、集群意识淡漠.探讨适合于博望机床产业品牌发展的对策:加强品牌意识、夯实品牌基础、提升品牌管理力度、加强品牌创新、依托产业集群做大做强企业品牌.