• Title/Summary/Keyword: Visual Inspection System

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A classification techiniques of J-lead solder joint using neural network (신경 회로망을 이용한 J-리드 납땜 상태 분류)

  • Yu, Chang-Mok;Lee, Joong-Ho;Cha, Young-Yeup
    • Journal of Institute of Control, Robotics and Systems
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    • v.5 no.8
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    • pp.995-1000
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    • 1999
  • This paper presents a optic system and a visual inspection algorithm looking for solder joint defects of J-lead chip which are more integrate and smaller than ones with Gull-wing on PCBs(Printed Circuit Boards). The visual inspection system is composed of three sections : host PC, imaging and driving parts. The host PC part controls the inspection devices and executes the inspection algorithm. The imaging part acquires and processes image data. And the driving part controls XY-table for automatic inspection. In this paper, the most important five features are extracted from input images to categorize four classes of solder joint defects in the case of J-lead chip and utilized to a back-propagation network for classification. Consequently, good accuracy of classification performance and effectiveness of chosen five features are examined by experiment using proposed inspection algorithm.

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Development Auto Inspection System for Body Panel Using Visual Sensor (시각센서를 이용한 차체 패널 자동검사 시스템 개발)

  • 이용중;이형우;권석근
    • Proceedings of the Korean Society of Machine Tool Engineers Conference
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    • 2000.10a
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    • pp.51-56
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    • 2000
  • This study is to implement automatic inspection system of motor body panel by visual system. since it is inefficient to examine adhesion condition of components with the naked eye, image processing algorithm is presented to replace the existing manual inspection process with an automatic inspection process the developed automatic inspection system presents tile examination method of the adhesion condition of components with a pixed camera, which leads to an increase of the productivity and a reduction of manufacturing cost

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Development of Visual Inspection System for Culvert in Levee Using Checklists and Smart Phone (육안점검표 및 스마트폰을 이용한 하천제방 배수통문 육안점검시스템 개발)

  • Kim, Jin Man;Cho, Jin Woo;Choi, Bong Hyuck;Cho, Won Beom
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.17 no.3
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    • pp.97-107
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    • 2013
  • Culverts are structures constructed across river levees. Since river levees are to be constructed continuously, constructions of culvert are known to reduce the stability of river levees. In order to establish an effective inspection system of culverts, a visual inspection system using checklists and smart phone was recommended in this paper. It was determined that the recommended visual inspection checklist is applicable in establishing the investment priority based on the culvert's repair plan establishment, repair and precision safety inspection.

Development of Visual Inspection System for Minte needle probe (미세 탐침의 검사 시스템 개발)

  • Kang, Su-Min;Park, Se-Hyuk;Huh, Kyung-Moo
    • Proceedings of the KIEE Conference
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    • 2008.04a
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    • pp.123-124
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    • 2008
  • 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. Therefore we proposes a inspection system in this paper. it will be able to secure the objectivity of the prosecuting attorney using inspection system. Also this system has been developed only using PC, CCD Camera and Visual C++ for universal workplace.

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Automated Visual Inspection System of PCB using CAD Information (CAD 정보를 잉용한 PCB 자동 시각 검사 시스템)

  • Park, Byung-Joon;Hahn, Kwang-Soo
    • Journal of Korea Multimedia Society
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    • v.12 no.3
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    • pp.397-408
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    • 2009
  • Image training is a very important yet difficult state for automated visual inspection using computers. Because the size of parts for the recently produced PCB (Printed Circuit Board) becomes smaller and circuit patterns gradually become more complex, a difficult and complex training process is becoming a big problem within an industry where development cycle for new products is short and various products must be inspected. This research produced a reference image by using CAD (Gerber) file which becomes a standard for PCB automatic visual inspection. Reference image from a Gerber file guarantees PCB patterns with no defects. Through system implementation and experimentation, Gerber file is used in order to propose a plan which allows an easy training process for PCB automatic visual inspection system.

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Visual Inspection System for Irregularly Formed Timing Belt with Low Reflection Ratio (저반사비를 가진 비균질 타이밍 벨트를 위한 자동시각 검사시스템)

  • Lee, Jae-Woo;Yoon, Joong-Sun
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.13 no.5
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    • pp.1996-2001
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    • 2012
  • Visual inspection systems are widely proposed for the well formed surface materials like electronics parts. But the materials with ill reflection ability have many troubles when visual inspection system is introduced. We have developed a robust visual inspection system that can work well in spite of low reflection ratio and with much noise when truth model is not known in the mixed production line. A workpiece identification technique using k-means has been proposed to identify the type. Based on the identified type, a robust-to-noise segmentation method, called active contour, has been applied to segment the features from the image. Finally, Kalman filter has been applied to adapt the error variation. Experiment shows that performance is about to match the accuracy of manual measurement using projectors.

An Automated Visual Inspection System for Wire Harnesses (접속케이블의 품질검사를 위한 자동시각검사 시스템)

  • Lee, Moon-Kyu;Yun, Chan-Kyun
    • IE interfaces
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    • v.9 no.1
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    • pp.63-71
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    • 1996
  • A wire harness is an assembly cables and/or wires to transmit signals between electronic assemblies in automobiles and electronic appliances. Inspection of such a wire harness is to check the sequence of assembled cabled each of which is identified by its own color. This paper presents an automated visual inspection system for wire harnesses incorporating back-propagation neural network as a color identification device. The tests performed by using real test specimens show that the inspection system works well enough.

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Auto Parts Visual Inspection in Severe Changes in the Lighting Environment (조명의 변화가 심한 환경에서 자동차 부품 유무 비전검사 방법)

  • Kim, Giseok;Park, Yo Han;Park, Jong-Seop;Cho, Jae-Soo
    • Journal of Institute of Control, Robotics and Systems
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    • v.21 no.12
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    • pp.1109-1114
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    • 2015
  • This paper presents an improved learning-based visual inspection method for auto parts inspection in severe lighting changes. Automobile sunroof frames are produced automatically by robots in most production lines. In the sunroof frame manufacturing process, there is a quality problem with some parts such as volts are missed. Instead of manual sampling inspection using some mechanical jig instruments, a learning-based machine vision system was proposed in the previous research[1]. But, in applying the actual sunroof frame production process, the inspection accuracy of the proposed vision system is much lowered because of severe illumination changes. In order to overcome this capricious environment, some selective feature vectors and cascade classifiers are used for each auto parts. And we are able to improve the inspection accuracy through the re-learning concept for the misclassified data. The effectiveness of the proposed visual inspection method is verified through sufficient experiments in a real sunroof production line.

An Underwater Inspection System to Detect Hull Defects of a Ship (수중용 선체외판 길함 검사용 장치 개발)

  • Kim, Young-Jin;Cho, Young-June;Lee, Kang-Won;Shon, Woonh-Hee
    • Proceedings of the Korea Committee for Ocean Resources and Engineering Conference
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    • 2006.11a
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    • pp.281-284
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    • 2006
  • After building a ship in a shipyard, there are so many repeated inspection of welding seam defects and painting status before delivering to the ship's owner. An inspection on the bottom part of a ship in commercial service should be done in every two years for the purpose of safety and for the prevention of ship speed deterioration. conventional welding seam inspection systems are rely on the visual inspection by human or the ultrasonic inspection for the selective part of a ship. This paper suggests a remote controlled inspection system for the examination of large ships or steel structures. The proposed system moves in contact with the ship under inspection and have a CCD camera to provide visual-guidance information to a remotely located human worker. Additionally this system utilizes a weld line tracking algorithm for an optimal position control. We verified the effectiveness of the inspection system by experimental data.

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A study on automatic testing of powder metallurgy process using the visual inspection system (시각감시장치를 이용한 분말야금 공정의 검사자동화 기술개발에 관한 연구)

  • Kwon, Ki-Ryong;Choi, Jae-Youn;Choi, Sung-Lark
    • Journal of Institute of Control, Robotics and Systems
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    • v.3 no.1
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    • pp.89-93
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    • 1997
  • This paper describes the automatic testing system developed for powder metallurgy process using the visual inspection, and its some internal algorithms. The system consists of one unit from each of the five types of units; feeding, slot, vision inspection, volumn counter, and inferior good extractor units. Some applications of the system to powder metallurgy process has shown the possibility of reducing the rework and increasing the efficiency of operation.

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