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Communication Dans Un Congrès Année : 2023

Detection and characterization of defects on mechanical structures by using 3D vision

Hamdi Ben Abdallah
Jean-José Orteu
Ludovic Brethes

Résumé

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.
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hal-04168243 , version 1 (21-07-2023)

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Zakaria Belbacha, Hamdi Ben Abdallah, Igor Jovančević, Jean-José Orteu, Ludovic Brethes. Detection and characterization of defects on mechanical structures by using 3D vision. QCAV'2023 - the 16th international conference quality control by artificial vision, Jun 2023, Albi, France. 7 p., ⟨10.1117/12.3000509⟩. ⟨hal-04168243⟩
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