• Title/Summary/Keyword: Image Inspection System

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The Compensation of Image Distortion on the X - Ray Image Intensifier (X - Ray 검사 시스템에서 Image Intensifier의 왜곡 보정)

  • Shin, Dong-Chul;Oh, Choon-Suk
    • The Transactions of the Korea Information Processing Society
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    • v.5 no.4
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    • pp.1044-1047
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    • 1998
  • Non-destructive x-ray inspection system needs image intensifier to obtain the x-ray image. Captured image from image intensifier is distorted because the input plate of image intensifier has a spherical surface. In the research, in order to compensate this image distortion, we created the model of image intensifier and show mathematically that the image distortion was compensated. To show the performance of the proposed method, experiment was performed in real x-ray inspection system.

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A Development of the Side Inspection System for A Circularity Using 8 Side Mirrors Method (8각 미러에 의한 원형제품의 측면검사시스템 개발)

  • Lee, Kyu-Hun;Kim, Yong
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.22 no.12
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    • pp.56-63
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    • 2008
  • In this study, a side inspection system for circular o-ring, bolt, plastic and gasket using 8 side mirrors has been developed. The system is comprised of a CCD camera, an illumination, the first 8 mirrors and the second 8 mirrors, and moreover the image processing algorithm for detecting three different type samples is developed. The effectiveness of this algorithm was experimentally verified with three different type samples, and the inspection process is completed within max 0.2 second by help of smart camera. It is envisaged that this inspection method for side inspection system of a circular will have a wide application in the future industry.

Development of an Inspection System for Car Seat Bottom Cushion Frame Using Machine Vision (머신 비전을 이용한 카 시트 쿠션 프레임 검사 시스템 개발)

  • Tucit, Joselito;Jung, Ho;Jang, Bong-Choon
    • Proceedings of the KAIS Fall Conference
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    • 2007.05a
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    • pp.253-255
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    • 2007
  • The increasing requirement for consistency and quality in the automotive industry started the development of a Machine Vision Inspection System (MVIS) for a car seat bottom cushion frame with the goal of providing a higher precision Inspection System with minimal components and less human intervention. The modifications made to an existing PC-based MVIS were shown to improve the accuracy and precision of the system. By using four monochrome cameras, the working distance was lowered and the image distortions were lessened without resorting to extensive image processing. The inspection scripts were evaluated if it could recognize good and bad products and were shown to be robust and able to reach an acceptable level of precision. It was also shown that the amount of human interaction was lessened.

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The Construction of Quality Inspection System for Sunroof Sealer Application Process Using SVM Algorithm (SVM 알고리즘을 활용한 선루프 실러도포 공정 품질검사 시스템 구축)

  • Yang, Hee-Jong;Jang, Gil-Sang
    • Journal of the Korea Safety Management & Science
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    • v.23 no.3
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    • pp.83-88
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    • 2021
  • Recently, due to the aging of workers and the weakening of the labor base in the automobile industry, research on quality inspection methods through ICT(Information and Communication Technology) convergence is being actively conducted. A lot of research has already been done on the development of an automated system for quality inspection in the manufacturing process using image processing. However, there is a limit to detecting defects occurring in the automotive sunroof sealer application process, which is the subject of this study, only by image processing using a general camera. To solve this problem, this paper proposes a system construction method that collects image information using a infrared thermal imaging camera for the sunroof sealer application process and detects possible product defects based on the SVM(Support Vector Machine) algorithm. The proposed system construction method was actually tested and applied to auto parts makers equipped with the sunroof sealer application process, and as a result, the superiority, reliability, and field applicability of the proposed method were proven.

Development of Automated Display Image Characteristic Inspection System of Braun Tube(CRT) (브라운관의 화상계측 자동화 시스템 개발)

  • 유우식;장성호;이도경
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.18 no.35
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    • pp.1-8
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    • 1995
  • Automatic inspection system software for display image characteristic of CRT is developed. There are two major contributions of this software development. One is that the data from measuring equipments which was usually collected manually is automatically collected through RS-232C port and is saved in computer, then, trend analysis graph and final reports are generated. The other is that evauation of characteristic of electron gun was automatically processed by CCD camera and image processing technique. The system is developed under MS-Windows environment utilizing Borland C++4.0 Compiler and DT 3852-8 image processor board. This system can save the time and man power to measure and to anayze the image characteristics relative to current method.

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A Study on Cantilever Deformation Inspection Method Using Image Processing (영상처리를 이용한 가동브래킷 변형 검사 기법에 대한 연구)

  • Han, Seung-Hun;Cho, Min-Soo;Yu, Young-Ki;Lee, Byeong-Gon
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.66 no.6
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    • pp.988-994
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    • 2017
  • The risk of facilities in catenary is increasing because the railway section extension and high-speed train service. And visual check of workforce is not enough time to maintain the extensive railway facilities. Accordingly, The technical development trend of maintenance of railway facilities can be seen by automation and application of IT technology, especially the mechanization work and the information technology are spreading in the maintenance work of the train line solved by manpower. In this paper, we describe the method by obtaining the cantilever image using acquisition device and pole inspection system in high speed vehicle, to check the variation of the cantilever component using image processing.

Surface Defect Inspection Method of Iron Samples using Image Processing (영상처리를 이용한 용선시편의 표면결함 검사방법)

  • Ahn, H.S.;Jeong, K.W.;Kim, J.H.
    • Journal of the Korean Society for Precision Engineering
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    • v.12 no.10
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    • pp.78-88
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    • 1995
  • For producing iron or steel products with good quality, the concentration of the material components should be analyzed quickly with high relability using XRF(Fluorescent X-Ray Spectrometer). Since the analysis results are much dependent upon the surface con- dition, the samples have to be prepared to have good test condition. This study presents an image processing system for inspecting the surface condition of the iron test sample. In order to use thd computer vision system, we need to develop a lighting device and image processing algorithm. For the adequate lighting device of inspection system, the indirect lighting device is contrived to cut the external light and provide uniform, stable and cold light. The image processing algorithm is aimed to reduce inspection time and to get similar analyzing results to those of the experienced operators. At first, the image processing algorithm checks whether the surface of the iron sample is ground well or not. Then, the defects; hole or dig are conted and surface condition is evaluated. In addition, the algorithm gives the reliability of the analyzing results in order to help operator's decision.

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The characteristics of section applied image inspection system to the moment values are invariant with respect to variable object size and rotation (단면의 성질을 적용한 크기와 회전 변화에 불변인 영상 검사 시스템)

  • 이용중;김태원;김기대;류재엽
    • Proceedings of the Korean Society of Machine Tool Engineers Conference
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    • 2001.04a
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    • pp.131-136
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    • 2001
  • The purpose of this paper is to develop image inspection system endows an automatic operating and measuring that the moment values are invariant with respect to variable object size and rotation. In this paper, using these moment feature vector with Hu s 7 invariant moment is also given. The characteristics of section which is applied in the mechanics used moment descriptor of invariant moment detection algorithm for image inspection system. Corresponding rates between 94% and 96% have been achived for all object tested.

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An Implementation of Image Inspection System for Invariants Moment (불변 모멘트 영상 검사 시스템 구현)

  • Lee, Yong-Joong;Kim, Hak-Bum;Yun, Jin-Su;Kim, Hyoung-Jo;Lee, Yang-Bum
    • Proceedings of the KIEE Conference
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    • 2001.07d
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    • pp.2449-2451
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    • 2001
  • The purpose of this paper is to develop image inspection system endows an automatic operating and measuring that the moment values are invariant with respect to variable object size and rotation. In this paper, using these moment feature vector with Hu's 7 invariant moment is also given. The characteristics of section which is applied in the mechanics used moment descriptor of invariant moment detection algorithm for image inspection system. Corresponding rates between 94% and 96% have archived for all object tested.

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Development of Image Processing Program to Inspect Concrete Bridges (콘크리트 교량 외관조사용 이미지 처리 프로그램 개발)

  • Lee, Byeong-Ju;Shin, Jae-In;Park, Chang-Ho
    • Proceedings of the Korea Concrete Institute Conference
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    • 2008.04a
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    • pp.189-192
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    • 2008
  • Generally, the inspection is hard work and needs a lot of time. So, this work contains subjectivity of inspector owing to carry out the visual evaluations through naked eye. Thus, the result of inspection is not objective and reliable. The purpose of this study is to develop new inspection technique to solve above problems and to provide convenient inspection work. We make a new inspection system using digital image processing technology. This program can stitch each image and detect cracks of surface of concrete bridge. Also, It can extract an investigation drawing from the picture. Also, this program is a kind of management tools designed to have some functions such as converting the image data obtained from cameras to Data-Base format, searching and storing the data. At first, we try to make a automatic extracting program. But, changed by semiautomatic method because of various problems. Through field experiments, the application of this inspection system with specialty software has proven to be much faster, safer, and reliable than the inspections carried out by the naked eyes in managing safety of the bridges. The new inspection method may be able to make the inspection of bridge more efficient and reliable.

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