Abstract
The project proposes the manufacture of an automated test station for the detection of defects in the production line, based on the resonant acoustic spectroscopy technique (ASTM-E2001), where the establishment of acceptance criteria for the classification of the parts is assisted by machine learning algorithms capable of efficiently detect micro defects in small parts and parts with comp…