Detection and Recognition of Manufacturing Defects of Rivet Joints by their Video Images Using Deep Neural Networks

Abstract

The issue of detecting and recognizing manufacturing defects in riveted joints using video content is presented. For the detection and classification of defects in riveted joints of aircraft, a computational method using deep neural networks has been developed. An illustrative example is given.