• 제어로봇시스템학회논문지
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• 제19권12호
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• pp.1099-1104
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• 2013

This paper presents a learning-based visual inspection method that addresses the need for an improved adaptability of a visual inspection system for parts verification in panorama sunroof assembly lines. It is essential to ensure that the many parts required (bolts and nuts, etc.) are properly installed in the PLC sunroof manufacturing process. Instead of human inspectors, a visual inspection system can automatically perform parts verification tasks to assure that parts are properly installed while rejecting any that are improperly assembled. The proposed visual inspection method is able to adapt to changing inspection tasks and environmental conditions through an efficient learning process. The proposed system consists of two major modules: learning mode and test mode. The SVM (Support Vector Machine) learning algorithm is employed to implement part learning and verification. The proposed method is very robust for changing environmental conditions, and various experimental results show the effectiveness of the proposed method.

• 한국정밀공학회지
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• 제14권11호
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• pp.126-134
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• 1997

In this study, We made visual inspection system using Vision Board. It is consist of an illuminator (a fluorescent lamp), image input device (CCD (Charge-Coupled Device) camera), image processing system(Vision Board(FARAMVB-02)), image output device (video monitor, printer), and a measuring instrument(TELMN1000). Length measurement by visual inspection system make use of 100mm guage block(instead of calculating distance between a camera and a object). It measured horizontal and vertical length factor from 400mm to 650mm by increasing 50mm. In this place, measured horizontal and vertical length factor made use of length measure- ment of a injection. A measuring instrument used to ompare a measured length of a injection visual inspection system with it. In conclusion, length measurement of a injection compared a measuring instrument with visual inspecion system using length factor of 100mm gauge block. We find that maximum error of length is 0.55mm when it compar with the measuring value of two devices(FARAMVB-02, TELMN1000). Program of visual inspection system is made up Borland C++3.1.

• 제어로봇시스템학회논문지
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• 제13권11호
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• pp.1106-1111
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• 2007

The visual inspection method that depends on human's eyes has some problem that a lot of variations happen in examination according to bodily, spiritual state of the checker. We automate remocon inspection process using CCD camera. Our developed inspection system can be used in any remocon production line without the user's big handling. Our inspection system was developed using PC, CCD Camera, Visual C++ for universal work place. The accuracy of proposed system was improved about 3.2[%] than the conventional pattern matching method and the processing time was decreased about 119[ms]. Also we showed that our inspection system is more robust to lighting circumstances.

• 대한한의진단학회지
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• 제18권1호
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• pp.1-10
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• 2014

Objectives Visual inspection is the first diagnostic method in Oriental medicine, and visual inspection of eyes is the one among them. This study was written in order to complement further understanding on visual inspection of eyes. Methods 1. Out of 102 photographs submitted to the Society of HyungSang Medicine in 2009, 27 portrait pictures were selected as samples in blind by 2 clinicians. The samples were copied to make 54 sample pictures, and then randomly assigned to 4 clinicians. 2. The 4 clinicians evaluated the 54 samples for excess and deficiency of the eyes. The results were recorded as 5-points-scale, and their average and standard deviation was calculated. 3. Intra and inter class reliability test were measured using SPSS 13. Results For intra- and inter-class correlation coefficient (ICC) values were measured as 0.654~0.967 and 0.756~ 0.783 respectively, with the P-value below 0.05. Out of 27 originally selected samples, 7 pictures were selected as Deficiency Samples (with 3 pictures of male and 4 of females), and 20 as Excess Samples (with 4 of male and 16 of female). Among them, Sample No. 1, 9, 22, and 26 were selected as models of 'Excessive Eyes' for females, no. 4 and 5 as 'Very Excessive Eyes' for male and females, and no. 15 as 'Moderate Eyes' for females. Conclusion This study is the first attempt of quantitative measurement of excess and deficiency using the Visual Inspection of eyes by the visual inspection experts. Still, additional studies are needed regarding the relationship visual inspection methods have with existing standards of diagnosis.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 1996년도 춘계학술대회 논문집
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• pp.281-285
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• 1996

In this paper, I made visual inspection system using Vision Board and it is consist of an illuminator (a fluorescent lamp), image input device(CCD(Charge)Coupled Device) camera), image processing system(Vision Board(FARAMVB-02), image output device(videomonitor, printer), a measuring instrument(TELMN1000). Length measurement by visual inspection system is used 100mm gauge block instead of calculating distance between camera and object, it measured horizontal and vertical length factor from 400mm to 650mm by increasing 50mm. In this place, measured horizontal and vertical length factor made use of length measurement of a injection. A measuring instrument used to compare a measured length of a injection visual inspection system with it. In conclusion, length measurement of a injection compared a measuring instrument withvisual inspecion system using length factor of 100mm guage block. Maximum error of length compared two devices a measuring instrument with visual inspection system is 0.55mm. And operation program is made up Borland C++ 3.1. By changing, it is applied to various uses.

• 한국압력기기공학회 논문집
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• 제4권2호
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• pp.57-61
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• 2008

During the period of retubing work for the licensing renewal, the fuel channels, calandria tubes and feeders of CANDU Reactors will be replaced, and calandria visual examination will be performed. This period is a unique opportunity to inspect the inside of the calandria. The visual inspection for the calandria vessel and its internals of Wolsong NPP is scheduled for confirming the calandria integrity. The first visual inspection for the calandria is planned in Pt. Lepreau led by AECL. The visual inspection for Wolsong NPP, led by NETEC(Nuclear Engineering & Technology Institute) of KHNP, will employ 3D laser scanner and 3D CAD Mock-up for the first time in the world, in addition to a conventional video camera. The inspection system is composed of a robot with the 3D laser scanner, a video camera and a hardness meter.

• 제어로봇시스템학회논문지
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• 제5권8호
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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.

• 한국구조물진단유지관리공학회 논문집
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• 제17권3호
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• pp.97-107
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• 2013

배수통문은 하천제방을 횡단하여 설치된 하천시설로, 연속적으로 시공되어져야 하는 제방의 특성에 반하여 불연속적인 단면을 제공함으로써 하천제방 안전성을 저하시키는 구조물로 알려져 있다. 본 논문에서는 배수통문의 효율적인 점검 체계 구축을 위하여 육안점검표 및 휴대용 단말기를 이용한 육안조사 시스템을 제시하고 향후 개선방향을 제시하였다. 제안된 육안점검표는 적용성 평가결과 간단한 육안점검에 의한 손상 파악을 통해 배수통문의 보수 계획 수립과 보수 및 정밀안전진단에 대한 투자우선순위 선정에 적용성이 높은 것으로 평가되었다.

• 제어로봇시스템학회논문지
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• 제21권12호
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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.

• 한국멀티미디어학회논문지
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• 제12권3호
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• pp.397-408
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• 2009

영상 학습은 컴퓨터를 이용한 자동 시각 검사에서 매우 중요하고 어려운 문제이다. 최근 생산되는 인쇄회로 기판(PCB : Printed Circuit Board)은 부품의 크기가 작아지고 회로 패턴이 점점 복잡해져서 신제품의 개발 주기가 짧고 다양한 제품들을 검사해야 하는 분야에서 어렵고 복잡한 학습 과정은 큰 문제가 되고 있다. 본 논문은 CAD(Gerber: 거버)파일을 이용하여 PCB 자동 시각 검사의 기준이 되는 참조 영상을 생성하였다. Gerber 파일로 생성된 참조 영상은 결함이 없는 PCB 패턴을 보장한다. 시스템의 구현과 실험을 통하여 Gerber 파일을 이용하여 PCB 자동 시각 검사 시스템의 학습 과정을 손쉽게 할 수 있는 방안을 제시하였다.