Optimization of analysis performances using different non-destructive testing techniques – OPTEND

The LabCom OPTEND project (“Optimisation des Performances d'analyses par l'utilisation de différentes Techniques d'Essais Non Destructifs”) aims to develop advanced tools for performing defect analysis on high value-added metal parts, using non-destructive testing (NDT) techniques such as magnetic particle inspection, dye penetrant inspection and eddy current testing, coupled with artificial intelligence (AI) tools for data processing.
It comes against a backdrop of strong demand for non-destructive testing (NDT) in industrial sectors such as aeronautics, petrochemicals, nuclear power and boilermaking. These tests are essential for guaranteeing the integrity of parts and structures, avoiding defects and ensuring safety, and their automation helps reduce production costs and drudgery for operators.
This project is an extension of the cooperation already underway as part of the France Relance plan, between the Imagerie et Vision Artificielle (ImViA) laboratory at the University of Burgundy, which specializes in computer vision, information processing, robotics and artificial intelligence, and the French company CMPHy, which specializes in non-destructive testing equipment.