The following information was submitted:
Transactions: INTERNATIONAL JOURNAL of SYSTEMS ENGINEERING, APPLICATIONS AND DEVELOPMENT
Transactions ID Number: 20-686
Full Name: Martin Laurowski
Position: Assistant
Age: ON
Sex: Male
Address: Paul-Bonatz-Str. 9-11
Country: GERMANY
Tel: +49 271 740 2338
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E-mail address: martin.laurowski@uni-siegen.de
Other E-mails: philip.klein@uni-siegen.de
Title of the Paper: A Real-time and Vision-based Methodology for Processing 3D Objects on a Conveyor Belt
Authors as they appear in the Paper: Michael Weyrich, Martin Laurowski, Philipp Klein, and Yongheng Wang
Email addresses of all the authors: michael.weyrich@uni-siegen.de,martin.laurowski@uni-siegen.de,philipp.klein@uni-siegen.de,yongheng.wang@uni-siegen.de
Number of paper pages: 9
Abstract: The objective of this paper is to present an industrial vision-based methodology for processing 3D objects being conveyed by a constant velocity. This methodology employs a camera system and a robotic system. The object on the conveyor is firstly captured by camera system. The geometry and texture of object are further estimated and analyzed, in order to indentify defective surface and its location with reference to the object geometry. These efforts are instructive to generate a path plan for processing defective objects, which is implemented by the robotic system. The strength of this methodology is to combine vision-based defect detection and automated path planning that make it flexible to objects with variant geometries without the expense of operation time. In food industry this methodology is competent to reduce wastes.
Keywords: real-time, vision-based, optical inspection, 3D objects, conveyed objects, food industry, food processing, surface defects detection, geometry estimation, path planning
EXTENSION of the file: .doc
Special (Invited) Session: Vision based Defect Detection on 3D Objects and Path Planning for Processing
Organizer of the Session: 653-098
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