Automatic visual inspection of mechanical assemblies via 3Dpoint cloud classification with deep neural networks

In this work, we are focused on conformity control of complex aeronautical mechanical assemblies,typically an aircraft engine, at the end or in the middle of the assembly process. A 3D scannercarried by a robot arm provides acquisitions of 3D point clouds which are further processed by deepclassification neural networks. The Computer-Aided Design (CAD) model of the inspected mechanicalassembly is available, and the proposed approach relies on it. The models are trained on syntheticdata, generated from the CAD models.