• 제목/요약/키워드: Automated Visual Inspection system (AVI)

검색결과 6건 처리시간 0.019초

자동시각검사환경하에서 공정 목표치의 설정 (Determination of Target Value under Automatic Vision Inspection Systems)

  • 서순근;이성재
    • 품질경영학회지
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    • 제29권3호
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    • pp.66-78
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    • 2001
  • This paper deals with problem of determining process target value under automated visual inspection(AVI) system. Three independent error sources - digitizing error, illumination error, and positional error - which have a close relationship with the performance of the AVI system, are considered. Assuming that digitizing error is uniformly or normally distributed and illumination and positional errors are normally distributed, respectively, the distribution function for the error of measured lengths is derived when the length of a product is measured by the AVI system. Then, Optimal target values under two error models of AVI system are obtained by minimizing the total expected cost function which consists of give away, rework and penalty cost. To validate two process setting models, AVI system for drinks filling process is made up and test results are discussed.

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영상기반 자동검사시스템에서 Run Length Coding을 이용한 한도 결함 검출 전처리 기법 (Ultimate Defect Detection Using Run Length Coding in Automatic Vision Inspection System)

  • 주영복;권오영;허경무
    • 전자공학회논문지SC
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    • 제49권1호
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    • pp.8-11
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    • 2012
  • 자동 결함 검사 시스템 (AVI - Automated Vision Inspection Systems)은 디지털 영상을 통하여 표면의 결함을 자동으로 검출해 주는 시스템이다. 일반적으로 AVI 시스템의 성능은 한도 결함 검출력으로 판별한다. 한도 결함이란 결함 신호가 배경신호와 매우 유사하여 명확히 결함을 검출하기 어렵다. 본 논문에서는 신호대잡음비 (SNR - Signal to Noise Ratio)를 개선할 수 있는 전처리 기법을 제안하였다. 제안된 기법은 인간 시각 시스템 (HVS - Hunman Visual System) 원리를 기반으로 하였으며 이를 RLC (Run Length Code)로 구현하였다. 실험결과 제안된 전처리 기법은 한도 결함 영상에 대해 SNR이 두 배 이상 개선되는 효과를 보였으며 이를 이용하면 AVI 시스템의 검출성능 향상을 기대할 수 있다.

인쇄회로기판의 패턴 검사용 조명장치 설계 (Design of a lighting system for PCB visual pattern inspection)

  • 나현찬;노병옥;유영기;조형석
    • 대한기계학회논문집A
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    • 제21권1호
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    • pp.1-11
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    • 1997
  • Austomated visual inspection(AVI) capability has become an important key component in the automated manufacturing system. In such a visual inspection system an intensity(or color) image of a scene is quickly affected by optical property of objects, condition and roughness of surface, lens and filters, image sensor property and lighting system. In particular, the lighting system disign is the most important factor, since it affects overall performance of the visual system. For fast and cheap automated visual inspection system it is important to obtain the good image quality which results from careful attention to the design of the lighting system. In this paper, the lighting subsystem of AVI system is analysed for the inspection of printed circuit board(PCB) patterns. The spectral reflectance of materials, which are composed of PCB, is measured for choosing the light source. The reflection property is theoretically obtained by a reflection model and also obtained by experiments which measure intensity with varying the viewing direction of image sensor and the lighting direction of illuminator. The illumination uniformity of a ring-type illuminator. The lighting system is designed based upon the experimental results and theoretial analysis.

Bi-directional fault analysis of evaporator inspection system

  • Kang, Dae-Ki;Kang, Jeong-Jin
    • International journal of advanced smart convergence
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    • 제1권1호
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    • pp.57-60
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    • 2012
  • In this paper, we have performed a safety analysis on an automotive evaporator inspection system. We performed the bi-directional analysis on the manufacturing line. Software Fault Tree Analysis (SFTA) as backward analysis and Software Failure Modes, Effects, & Criticality Analysis (SFMECA) as forward analysis are performed alternately to detect potential cause-to-effect relations. The analysis results indicate the possibility of searching and summarizing fault patterns for future reusability.

자동 시각 검사를 위한 개선된 서브픽셀 알고리즘 (An Improved Subpixel Algorithm for Automated Visual Inspection System)

  • 장동식;이만희;김길동
    • 산업공학
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    • 제11권3호
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    • pp.15-22
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    • 1998
  • A new improved algorithm in edge location to subpixel accuracy using decent-based weight to spatial information is proposed in this paper and applied to automated visual inspection(AVI) system. An application of the new edge operator as an edge detector is also provided and compared with Tabatabai and Lyvers edge detectors. The existing algorithms located edger to subpixel accuracy using least-square or moment-based methods. The algorithms also use only spatial information or grey-level values to locate edges. However, the proposed algorithm consider the weighted sum of grey-levels values of each edge pattern. The results show that the proposed algorithm is relatively less biased and has smaller standard deviation than the edge operations developed by Tabatabai and Lyvers in the presence of noise.

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칩 마운터에의 FIC 부품 인식에 관한 연구 (A study on the inspection algorithm of FIC device in chip mounter)

  • 류경;문윤식;김경민;박귀태
    • 제어로봇시스템학회논문지
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    • 제4권3호
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    • pp.384-391
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    • 1998
  • When a device is mounted on the PCB, it is impossible to have zero defects due to many unpredictable problems. Among these problems, devices with bent corner leads due to mis-handling and which are not placed at a given point measured along the axis are principal problem in SMT(Surface Mounting Technology). It is obvious that given the complexity of the inspection task, the efficiency of a human inspection is questionable. Thus, new technologies for inspection of SMD(Surface Mounting Device) should be explored. An example of such technologies is the Automated Visual Inspection(AVI), wherein the vision system plays a key role to correct this problem. In implementing vision system, high-speed and high-precision are indispensable for practical purposes. In this paper, a new algorithm based on the Radon transform which uses a projection technique to inspect the FIC(Flat Integrated Circuit) device is proposed. The proposed algorithm is compared with other algorithms by measuring the position error(center and angle) and the processing time for the device image, characterized by line scan camera.

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