• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2006년도 하계종합학술대회
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• pp.389-390
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• 2006

The goal of this paper is automation of a remocon inspection process using machine vision system. This system prevents error that is occurred by physical and spirit condition of human. Also this system has been developed to raise the reliability of remocon inspection. This system has been developed only using PC, CCD Camera and Visual C++ for universal workplaces. The performance of this system is an accuracy improvement of $2{\sim}3[%]$ and a processing time reduction of about 100[ms] against existing pattern matching method.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1992년도 한국자동제어학술회의논문집(국내학술편); KOEX, Seoul; 19-21 Oct. 1992
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• pp.358-363
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• 1992

The tire manufacturing process demands classification of tire types when the tires are transferred between the inner processes. Though most processes are being well automated, the classification relies greatly upon the visual inspection of humen. This has been an obstacle to the factory automation of tire manufacturing companies. This paper proposes an effective vision systems which can be usefully applied to the tire classification process in real time. The system adopts a parallel architecture using multiple transputers and contains the algorithms of preprocesssing for character recognition. The system can be easily expandable to manipulate the large data that can be processed seperately.

• 한국정보과학회:학술대회논문집
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• 한국정보과학회 2004년도 봄 학술발표논문집 Vol.31 No.1 (B)
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• pp.694-696
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• 2004

PDP 섀시는 우리나라의 핵심 제품중의 하나인 POP의 부품으로 특정 공장에서 한 달에 수만 개 이상을 생산하고 있다. 섀시에 포함된 홀, 탭홀, 스터드, 리벳의 유무를 검사하는데 모든 제품에 대한 전수검사가 요구되고 있다. 본 연구에서는 컴퓨터 비젼 기술을 이용한 POP 섀시 자동 시각 검사 시스템을 설계 구현하였고 이를 산업체에서 적용한 결과 신속하고 정확한 100% 검사가 가능함을 보였다.

• 마이크로전자및패키징학회지
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• 제8권3호
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• pp.1-9
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• 2001

본 논문에서는 마이크로 납볼 격자 배열 ($\mu$BGA)패키지의 검사 알고리듬을 제안하였다. 이 알고리듬의 개발은 납볼 배열의 미세 크기 때문에 사람의 사각으로는 결함을 식별하기 어려운 점에 기인하였다. 특히, 여기에서 보인 자동 시각 $\mu$BGA 검사 알고리듬은 소위 말하는 이차원 오차뿐만 아니라 볼의 높이 오차까지 검사할 수 있다. 검사 알고리듬은 특수하게 제작된 청색 조명 하에서 이차원 $\mu$BGA 영상을 사용하고 회전 불변 알고리듬으로 영상을 처리하였다. 그리고 2개의 카메라를 사용하여 높이 오차를 검출할 수 있었다 모의실험결과, 제안한 알고리듬이 기존 방법에 비하여 괄목할 만큼 납볼 결함을 검출할 수 있음을 보였다.

• 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.

• 산업공학
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• 제9권2호
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• pp.105-117
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• 1996

This paper presents an automated system for inspecting surface finish quality of gear teeth. The purpose of the presented system is to improve both efficiency and reliability of a gear inspection process with a lower cost. The system consists of two modules; one is for data collection and the other for data analysis. While and A/D converter is built in a PC to efficiently obtain digitized data, a window-based software for conducting quality tests is provided using VISUAL BASIC as well as C++. We successfully connect them with the existing gear tester. This system would be also useful for the gear quality improvement by means of a continuous data management.

• 센서학회지
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• 제19권3호
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• pp.169-175
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• 2010

Urinalysis is an important clinical test to diagnose urinary diseases, and dipstick method with visual inspection is widely applied in practice. Automated optical devices recently developed have disadvantages of long measurement time, big size and heavy weight, accuracy degradation with time, etc. The present study proposed a new computer scanning technique, in which the test strip and the standard chart were simultaneously scanned to remove any environmental artifacts, followed by automated differentiation with the minimum distance algorithm, leading to significant enhancement of accuracy. Experiments demonstrated an accuracy of 100 % in that all test results were identical with the human visual inspection. The present technique only uses a personal computer with scanner and shortens the test time to a great degree. The results are also stored and accumulated for later use which can be transmitted to remote locations through a network, thus could be easily integrated to any ubiquitous health care systems.

• 천문학회보
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• 제44권2호
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• pp.38.3-38.3
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• 2019

We present newly discovered dwarf galaxy candidates in deep wide-field images of NGC 1291 obtained with KMTNet. We identify 15 dwarf galaxy candidates by visual inspection within the virial radius of NGC 1291. Using imaging simulations, we demonstrate that our imaging data is complete up to 26 mag arcsec^-2 or -10 abs.mag with > 70% of the completeness rate. We also apply automated detection method to find the dwarfs. However, the completeness and the reliability are relatively low compared to the visual inspection. We find that structural and photometric properties of dwarf candidates such as effective radius, central surface brightness, Sérsic index, and absolute magnitude appear to be consistent with those of known dwarf galaxies in nearby groups and clusters, except for color. NGC 1291, residing in a relatively isolated environment, tends to accompany bluer dwarf galaxies (≃0.58) than those in denser environment. It shows that the quenching of dwarfs is susceptible to the environment.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2006년도 춘계학술대회 논문집
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• pp.327-328
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• 2006

Recently, as the infocomindustry is developed, the semiconductor industry as well as the optical industry such as the optical communication and the optical instrument is developed rapidly. The transmission, storage and processing of information has been reaching an limit because amounts of information increase rapidly. The more quickly the optical communication is developed, the more sharply the demand of optical elements increase. The transport and inspection process is time consuming and the error rate is high, because this process are not automated in case of an optical lens. In this paper, the pick-up system that can hold optical elements and be transferred by the ultrasonic transport system is developed. The inspection system that distinguishes between the existence and the nonexistence of a defect is connected easily to pick-up system. The pick-up system separates the optical glass lens by results of the inspection. The automation program is developed by visual c++ programming.

• 정보처리학회논문지B
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• 제11B권3호
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• pp.327-336
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• 2004

일반적인 공장환경에서 적용할 수 있는 비젼 검사시스템의 개발을 위해서는 안정적이면서도 고속 패턴정합을 수행하는 알고리즘의 개발이 필요하다. 본 논문에서는 전탐색 회피기법을 이용하는 자동화용 패턴검사를 위한 에지 기반의 점상관 고속 알고리즘을 제안한다. 이 알고리즘은 탐색할 영상의 에지특성을 분석함에 의해 전탐색을 회피함으로써 탐색복잡도를 크게 개선한다. 농담정규화정합(NGC)법을 사용하는 통상적인 검사 알고리즘은 공장환경에 적용할 매 몇가지 문제점을 극복해야 한다. 첫 번째는 과도한 계산량으로 고속동작을 가능하게 하기 위해 특별한 알고리즘의 설계가 필요하며 고속 하드웨어의 사용을 요구한다 두 번째는 불안정한 조명조건 하에서도 신뢰성 있는 검사결과를 주어야 한다는 것이다. 전통적인 NGC 알고리즘은 조명의 불안정에 따라 검사결과가 크게 변동하는 특성을 가지고 있다. 본 논문에서는 이러한 단점을 극복하기 위해 에지 기반의 점상관 알고리즘을 제안한다. 계산량을 개선하기 위해 전탐색 회피 알고리즘을 개발하여 적용하고, 에지 피라미드 구조를 탐색에 T입하여 실시간에 근접하는 시간 복잡도를 달성한다. 제안된 방법들은 실제 영상에 적용하여 신뢰성을 검증한다