Journal of Biosystems Engineering

Korean Society for Agricultural Machinery (한국농업기계학회)
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RHT-Based Ellipse Detection for Estimating the Position of Parts on an Automobile Cowl Cross Bar Assembly

RHT 기법을 이용한 카울크로스바의 조립위치 결정에 관한 연구

  • Shin, Ik-Sang (Dept. of Agricultural Machinery, National Academy of Agricultural Science) ;
  • Kang, Dong-Hyeon (Dept. of Agricultural Machinery, National Academy of Agricultural Science) ;
  • Hong, Young-Gi (Dept. of Agricultural Machinery, National Academy of Agricultural Science) ;
  • Min, Young-Bong (Dept. of Bio-Industrial Machinery Eng., Gyeongsang National University)
  • 신익상 (국립농업과학원 농업공학부) ;
  • 강동현 (국립농업과학원 농업공학부) ;
  • 홍영기 (국립농업과학원 농업공학부) ;
  • 민영봉 (경상대학교 생물산업기계공학과)
  • Received : 2011.09.05
  • Accepted : 2011.09.26
  • Published : 2011.10.25
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Abstract

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.

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References

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