• Title/Summary/Keyword: Vision inspection

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Power-Law Transformation Method Development for Accuracy Improvement of Appearance Inspection (외관 검사의 정확도 개선을 위한 멱함수 변환 기법 개발)

  • Park, Se-Hyuk;Kang, Su-Min;Huh, Kyung-Moo
    • Proceedings of the KIEE Conference
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    • 2007.04a
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    • pp.11-13
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    • 2007
  • The appearance inspection of various electronic products and parts has been executed by the eyesight of human. But inspection by eyesight can't bring about uniform inspection result. Because the appearance inspection result by eyesight of human is changed by condition of physical and spirit of the checker. So machine vision inspection system is currently used to many appearance inspection fields instead of the checker. However the inspection result of machine vision is changed by the illumination of workplace. Therefore we have used a power-law transformation in this paper. for improvement of vision inspection accuracy and could increase inspection accuracy of vision system. Also this system has been developed only using PC, CCD Camera and Visual C++ for universal workplace.

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Area Separation Histogram Specification Method for Accuracy Improvement of Vision Inspection (Vision 검사의 정확도 향상을 위한 영역 분할 히스토그램 지정 기법)

  • Park, Se-Hyuk;Huh, Kyung-Moo
    • Proceedings of the KIEE Conference
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    • 2006.10c
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    • pp.431-433
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    • 2006
  • The goal of this paper is improvement of vision inspection accuracy by using histogram specification operation. The histogram is composed of horizontal axis of image intensity value and vertical axis of pixel number in image. In appearance vision inspection, the histogram of reference image and input image are different because of minutely lighting distinction. The minutely lighting distinction is main reason of vision inspection error in many cases. Therefore we made an effort for elevation of vision inspection accuracy by making the identical histogram of reference image and input image. As a result of this area separation histogram specification algorithm, we could increase the exactness of vision inspection and prevent system error from physical and spirit condition of human. Also this system has been developed only using PC, CCD Camera and Visual C++ for universal workplace.

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Vision Inspection Module for Dimensional Measurement in CMM having Vision Probe (비젼프로브를 가지는 3차원 측정기를 위한 형상 측정 시스템 묘듈 개발)

  • 이일환;박희재;김구영
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 1995.10a
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    • pp.379-383
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    • 1995
  • In this paper, vision inspection module for dimensional measurement has been developed. For high accuracy of CMM, camera calibration and edge detection with subpixel accuracy have been implemented. In measurement process, the position of vision probe can be recognized in PC by serial communication with CMM controller. The developed vision inspection module can be widely applied to the practical measurement process.

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Compensation of Installation Errors in a Laser Vision System and Dimensional Inspection of Automobile Chassis

  • Barkovski Igor Dunin;Samuel G.L.;Yang Seung-Han
    • Journal of Mechanical Science and Technology
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    • v.20 no.4
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    • pp.437-446
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    • 2006
  • Laser vision inspection systems are becoming popular for automated inspection of manufactured components. The performance of such systems can be enhanced by improving accuracy of the hardware and robustness of the software used in the system. This paper presents a new approach for enhancing the capability of a laser vision system by applying hardware compensation and using efficient analysis software. A 3D geometrical model is developed to study and compensate for possible distortions in installation of gantry robot on which the vision system is mounted. Appropriate compensation is applied to the inspection data obtained from the laser vision system based on the parameters in 3D model. The present laser vision system is used for dimensional inspection of car chassis sub frame and lower arm assembly module. An algorithm based on simplex search techniques is used for analyzing the compensated inspection data. The details of 3D model, parameters used for compensation and the measurement data obtained from the system are presented in this paper. The details of search algorithm used for analyzing the measurement data and the results obtained are also presented in the paper. It is observed from the results that, by applying compensation and using appropriate algorithms for analyzing, the error in evaluation of the inspection data can be significantly minimized, thus reducing the risk of rejecting good parts.

Development of Vision Inspection System for Defects of Industrial Wire Harness (산업용Wire Harness Vision 검사 장비 개발)

  • Han, Seung-Chul
    • Journal of the Korean Society of Industry Convergence
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    • v.11 no.4
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    • pp.189-194
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    • 2008
  • This paper presents vision based inspection system for defects of industrial wire harness. Five type of nonconformities facter such as barrel deform, projected wire, overcoating, rack of wire length, over-strip is considered. Developed inspectio algorithmn has been tested on real specimens from a wire harness factory. Experimental results show that the inspection algorithm an has a good performance.

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A Study on Algorithm for Inspection of Automobile's plastic part locking lever (자동차 플라스틱 부품 락킹레버 검사를 위한 알고리즘 연구)

  • Jang, Bong-Choon
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.11 no.5
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    • pp.1558-1563
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    • 2010
  • This paper describes a study on algorithm for the development of machine vision system as well as the inspection of automobile's plastic part locking lever to replace a human worker's eye inspection. Before developing the machine vision system based on the PC, the purpose of this research is to develop the algorithm to decide whether a product is a good/bad one in real time inspection. NI-LabVIEW software is used in the inspection method and an inspection program is developed using LabVIEW Vision image functions. The inspection program was built and validated to help the system operator set up the inspection area and change the criteria number in the program.

Development of the Sorting Inspection System for Screw/Bolt Using a Slant Method (슬랜트방식을 이용한 스크류/볼트 선별검사시스템 개발)

  • Kim, Yong-Seok;Yang, Soon-Yong
    • Journal of the Korean Society of Manufacturing Technology Engineers
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    • v.19 no.5
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    • pp.698-704
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    • 2010
  • The machine vision system has been widely applied at automatic inspection field of the industries. Especially, the machine vision system shows good performance at difficult inspection field by contact method. In this paper, the automatic system of a slant method to inspect screw/bolt shape using machine vision is developed. The inspection system uses pattern matching method that search similar degree of the lucidity, the average lucidity, length and angle of inspection set up area using a circular scan and a line scan method. Also the feeding method for inspection product is the slant method, and feed rate is controlled by the ramp angle adjustment. This inspection system is composed of a feeding device, a transfer device, vision systems, a lighting device and computer, and is composed the sorting discharge system of the inferior product. The performance test carried out the feeding speed, the shape correct degree and the sorting discharge speed according to the type of screw/bolt. This sorting inspection system showed a satisfied test results in whole inspection items. Presently, this sorting inspection system is being used in the manufacturing process of screw/bolt usefully.

Image Separation Average Value Matching Method Development for Accuracy Improvement of Appearance Inspection (외관 검사의 정확도 향상을 위한 영상 분할 평균값 매칭 기법 개발)

  • Park, Se-Hyuk;Kang, Su-Min;Huh, Kyung-Moo
    • Proceedings of the KIEE Conference
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    • 2007.10a
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    • pp.445-446
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    • 2007
  • The goal of this paper is accuracy improvement of appearance inspection by using image separation average value matching method. The appearance inspection of various electronic products and parts has been executed by the eyesight of human. But inspection by eyesight can't bring about uniform inspection result. Because the appearance inspection result by eyesight of human is changed by condition of physical and spirit of the checker. So machine vision inspection system is currently used to many appearance inspection fields instead of the checker. However the inspection result of machine vision is changed by the illumination of workplace. Therefore we have used a average value matching in this paper for improvement of vision inspection accuracy and could increase inspection accuracy of vision system. In other words, we made an effort for elevation of vision inspection accuracy by making the identical image separation average value of reference image and input image. Also this system has been developed only using PC, CCD Camera and Visual C++ for universal workplace.

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Real-Time Pipe Fault Detection System Using Computer Vision

  • Kim Hyoung-Seok;Lee Byung-Ryong
    • International Journal of Precision Engineering and Manufacturing
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    • v.7 no.1
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    • pp.30-34
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    • 2006
  • Recently, there has been an increasing demand for computer-vision-based inspection and/or measurement system as a part of factory automation equipment. In general, it is almost impossible to check the fault of all parts, coming from part-feeding system, with only manual inspection because of time limitation. Therefore, most of manual inspection is applied to specific samples, not all coming parts, and manual inspection neither guarantee consistent measuring accuracy nor decrease working time. Thus, in order to improve the measuring speed and accuracy of the inspection, a computer-aided measuring and analysis method is highly needed. In this paper, a computer-vision-based pipe inspection system is proposed, where the front and side-view profiles of three different kinds of pipes, coming from a forming line, are acquired by computer vision. And the edge detection is processed by using Laplace operator. To reduce the vision processing time, modified Hough transform is used with clustering method for straight line detection. And the center points and diameters of inner and outer circle are found to determine eccentricity of the parts. Also, an inspection system has been built so that the data and images of faulted parts are stored as files and transferred to the server.

An Autonomous Operational Service System for Machine Vision-based Inspection towards Smart Factory of Manufacturing Multi-wire Harnesses

  • Seung Beom, Hong;Kyou Ho, Lee
    • Journal of information and communication convergence engineering
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    • v.20 no.4
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    • pp.317-325
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    • 2022
  • In this study, we propose a technological system designed to provide machine vision-based automatic inspection and autonomous operation services for an entire process related to product inspection in wire harness manufacturing. The smart factory paradigm is a valuable and necessary goal, small companies may encounter steep barriers to entry. Therefore, the best approach is to develop towards this approach gradually in stages starting with the relatively simple improvement to manufacturing processes, such as replacing manual quality assurance stages with machine vision-based inspection. In this study, we consider design issues of a system based on the proposed technology and describe an experimental implementation. In addition, we evaluated the implementation of the proposed technology. The test results show that the adoption of the proposed machine vision-based automatic inspection and operation service system for multi-wire harness production may be considered justified, and the effectiveness of the proposed technology was verified.