Mathieu Belloc
Papers
1
Total Citations
6
H-Index
1
About
Mathieu Belloc is a researcher at the forefront of applying deep learning to industrial inspection, with a specific focus on the aeronautics sector. His work is central to the joint research laboratory "Inspection 4.0," a collaboration between IMT Mines Albi/ICA and the company DIOTA, which develops numerical tools for Industry 4.0. Belloc’s most cited paper, "Inspection of mechanical assemblies based on 3D deep learning approaches" (2021, 6 citations), introduces innovative methods for conformity control of complex aeronautical assemblies. This contribution addresses critical challenges in quality assurance, enabling automated, high-precision inspection of mechanical components. By integrating 3D deep learning into industrial workflows, Belloc is helping to bridge the gap between advanced AI research and practical manufacturing needs, enhancing efficiency and reliability in aerospace production. His work exemplifies the synergy between academia and industry, positioning him as a key figure in the evolution of smart inspection systems.
Research Focus
Key Achievements
Top Papers
- 1Inspection of mechanical assemblies based on 3D deep learning approaches6 citations · 2021