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학술지 Image Processing Based Automatic Inspection for Assembly Line of Automobiles
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저자
정연구, 김기홍
발행일
200610
출처
Key Engineering Materials, v.321 no.알수없음, pp.1288-1292
ISSN
1013-9826
출판사
Trans Tech Publications
DOI
https://dx.doi.org/10.4028/0-87849-412-x.1288
협약과제
05MI1400, URC를 위한 내장형 컴포넌트 기술개발 및 표준화, 조영조
초록
Many visual automatic inspection methods are used in the assembly line of vehicles for improving quality and reducing a production cost. In order to resolve uneasy inspection problems, new useful methods and devices have been developed. A real factory environment has very poor optical conditions. Illuminations are affected by the sun lights passing through the windows of the factories. The floor is continuously vibrating, which could affect the posture of installed cameras and illumination devices. This paper describes how to overcome these problems and suggests the automatic inspection system applicable to the automobile assembly line. It introduces two feature extraction methods and algorithms to detect the opened car in the automobile assembly line. The methods for extracting these features are discussed in this paper with the experimental results.
KSP 제안 키워드
Automatic inspection system, Factory environment, Image processing, Methods and algorithms, Production cost, assembly line, automobile assembly, feature extraction method