3D point cloud analysis for automatic inspection of aeronautical mechanical assemblies

Hamdi Ben Adallah; Jean-José Orteu; Benoit Dolives; Igor Jovančević

doi:10.1117/12.2521715

16 July 2019 3D point cloud analysis for automatic inspection of aeronautical mechanical assemblies

Hamdi Ben Adallah, Jean-José Orteu, Benoit Dolives, Igor Jovančević

Proceedings Volume 11172, Fourteenth International Conference on Quality Control by Artificial Vision; 111720U (2019) https://doi.org/10.1117/12.2521715
Event: Fourteenth International Conference on Quality Control by Artificial Vision, 2019, Mulhouse, France

Abstract

In this paper, we address the problem of automatic robotic inspection in two parts: first, automatic selection of informative viewpoints before the inspection process is started, and, second, automatic treatment of the acquired 3D point cloud from said viewpoints. We apply our system to detecting defects on aircraft Electrical Wiring Interconnection System (EWIS) in order to comply with the growing amount of safety regulations such as interference and allowable bend radius of cables in mechanical assemblies.

Citation Download Citation

Hamdi Ben Adallah, Jean-José Orteu, Benoit Dolives, and Igor Jovančević "3D point cloud analysis for automatic inspection of aeronautical mechanical assemblies", Proc. SPIE 11172, Fourteenth International Conference on Quality Control by Artificial Vision, 111720U (16 July 2019); https://doi.org/10.1117/12.2521715

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