Abstract
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.
