Hamdi Ben Abdallah
Centre National de la Recherche Scientifique, Institut Clément Ader
Papers
4
Total Citations
87
H-Index
4
About
Hamdi Ben Abdallah is a leading researcher in automated visual inspection for the aerospace industry, with a focus on enhancing quality control through computer vision and 3D analysis. His work centers on developing intelligent systems that match 3D CAD models with real-world 2D images and point cloud data to detect defects in complex aeronautical mechanical assemblies, such as aircraft wiring and harnesses. His most cited paper, "Automatic Inspection of Aeronautical Mechanical Assemblies by Matching the 3D CAD Model and Real 2D Images" (2019), has garnered 57 citations, underscoring its impact on accelerating quality assurance processes. Ben Abdallah’s contributions extend to 3D deep learning approaches for conformity control, as seen in his 2021 work within the joint "Inspection 4.0" laboratory between IMT Mines Albi and DIOTA. By addressing challenges like viewpoint selection and point cloud analysis, he has advanced robotic inspection methods that ensure compliance with safety regulations, such as forbidden interference and bend radius limits. His research, supported by over 87 total citations, is pivotal for Industry 4.0, offering robust solutions for high-stakes manufacturing environments.
Research Focus
Key Achievements
Top Papers
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- 4Inspection of mechanical assemblies based on 3D deep learning approaches6 citations · 2021