Vision based defect detection on 3D objects and path planning for processing

Authors:
Michael Weyrich;Philipp Klein;Martin Laurowski;Yongheng Wang
Affiliations:
Automated Manufacturing and Assembly, University of Siegen, Siegen, Germany;Automated Manufacturing and Assembly, University of Siegen, Siegen, Germany;Automated Manufacturing and Assembly, University of Siegen, Siegen, Germany;Automated Manufacturing and Assembly, University of Siegen, Siegen, Germany
Venue:
ROCOM'11/MUSP'11 Proceedings of the 11th WSEAS international conference on robotics, control and manufacturing technology, and 11th WSEAS international conference on Multimedia systems & signal processing
Year:
2011

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Abstract

Automated optical inspection systems are frequently utilized to sort out defective objects. However, those objects might actually be reworked or disposed. The combination of defect detection and specific processing in a single operation helps to reduce reworking time and waste. Defect detection on 3D objects is approached by combining the techniques of surface detection and geometry estimation. This facilitates to deduce the processing strategy and path-planning. The objective of this paper is to present a methodology of vision based defect detection on 3D objects on a conveyor belt and automated path planning for processing.