Vision based Defect Detection on 3D Objects and Path Planning for Processing
نویسنده
چکیده
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 pathplanning. 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. Key-Words: 3D-Vision, surface defects detection, geometry estimation, path-planning, food processing
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