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28 July 2023 Detection and characterization of defects on mechanical structures by using 3D vision
Zakaria Belbacha, Hamdi Ben Abdallah, Igor Jovančević, Jean-José Orteu, Ludovic Brèthes
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Proceedings Volume 12749, Sixteenth International Conference on Quality Control by Artificial Vision; 127491B (2023) https://doi.org/10.1117/12.3000509
Event: Sixteenth International Conference on Quality Control by Artificial Vision, 2023, Albi, France
Abstract
This paper deals with the detection and characterization of surface damages (a dent, a crack, etc.) on mechanical surfaces using 2D/3D vision (3D scanner and/or 2D RGB camera). The main innovative aspect lies in the exploitation of the Computer Aided Design model, when it is available, with two possible scenarios: ”manual control” via a hand-held 3D scanner carried by an operator, or ”automated control” via a 3D scanner carried by a cobot. This research work has been carried out within the joint research laboratory ”Inspection 4.0” between IMT Mines Albi/ICA and the DIOTA company, specialized in the development of numerical tools for Industry 4.0
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Zakaria Belbacha, Hamdi Ben Abdallah, Igor Jovančević, Jean-José Orteu, and Ludovic Brèthes "Detection and characterization of defects on mechanical structures by using 3D vision", Proc. SPIE 12749, Sixteenth International Conference on Quality Control by Artificial Vision, 127491B (28 July 2023); https://doi.org/10.1117/12.3000509
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KEYWORDS
Inspection
Object detection
Computer aided design
Point clouds
3D scanning
Defect detection
Aerospace engineering
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