RHT 기법을 이용한 카울크로스바의 조립위치 결정에 관한 연구

This study proposed the new method of discerning the assembled parts and presuming the position of central point in a Cowl Cross Bar (CCB) using a Charge-Couple Device (CCD) camera attached to a robot in the auto assembly line. Three control points of an ellipse were decided by three reference point...

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Bibliographic Details
Published in:Journal of biosystems engineering 2011-11, Vol.36 (5), p.377
Main Authors: 신익상, Ik Sang Shin, 강동현, Dong Hyeon Kang, 홍영기, Young Gi Hong, 민영봉, Young Bong Min
Format: Article
Language:Korean
Subjects:
Cowl cross bar
Ellipse detection
Inspection system
Randomized hough transform
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Summary:This study proposed the new method of discerning the assembled parts and presuming the position of central point in a Cowl Cross Bar (CCB) using a Charge-Couple Device (CCD) camera attached to a robot in the auto assembly line. Three control points of an ellipse were decided by three reference points, which were equally distanced. The radii of these reference points were determined by the size of the object, and the repeated presumption secured the precise determination. The comparison of the central point of ellipse presumed by Randomized Hough Transform (RHT) with the part information stored in a database was used for determining the faulty part in an assembly. The method proposed in this study was applied for the real-time inspection of elliptical parts, such as bolt, nut hole and so on, connected to a CCB using a CCD camera. The findings of this study showed that the precise decision on whether the parts are inferior or not can be made irrespective of the lighting condition of industrial site and the noises of the surface of the part. In addition, the defect decision on the individual elliptic parts assembled in a CCB showed more than 98% accuracy within a 500-millisecond period at most.
ISSN:1738-1266