Théodor AL SAIFY : "Implementation of real-time autonomous application for Industry 4.0 applications at FAURECIA CLEAN MOBILITY"

thesis defended behind closed doors

Abstract  : Within the fourth industrial revolution, the interweaving of the real world and the digital world is taking shape in different ways, through artificial intelligence, image processing, and robotics. As part of a welding industrial process, automated robots are instructed to join metal parts. However, these robots consider that all workpieces will be lined up in a fixed position, a slight mislocation will result in the robot missing the edge and the process to be reworked manually by a human specialist. This process is cost-effective and may cause significant delays.
Faurecia plants are now operating in an ever-increasing sensor-rich environment that is creating vast amounts of potentially useful data. The comprehensive ability to collect, analyze and process this data is opening new possibilities for understanding the root cause of rework that is done on their parts during the welding process. This dissertation's global objective is to propose solutions that effectively use the existing welding cells to install a vision system with the help of artificial intelligence to detect, anticipate and prevent mislocated welds. To achieve this objective three approaches using deep learning and image processing were developed and tested. All the tests are done in the lab before installing them in the plants. [...]

Jury Composition : 

Jaafar GABER, Maître de conférences, Université Bourgogne - Franche-Comté, PhD Director

Benoit PIRANDA, Maître de conférences, Université Bourgogne - Franche-Comté, PhD CoDirector

Julien BOURGEOIS, Professeur des universités, Université Bourgogne - Franche-Comté, Reviewer

Pascal LORENZ, Professeur des universités, Université Haute Alsace, Reporter

Ahmed NAIT-SIDI-MOH, Professeur des universités, Université de Saint-Etienne, Reporter

Rachid OUTBIB, Professeur des universités, Aix Marseille Université, Reviewer