Anomaly detection system in the automatic placement of composites during the manufacturing of structural elements

Abstract

A system for inspecting structural elements during their manufacturing capable of detecting anomalies in the automatic placement of composite materials through computer vision, comprising an image capture module that can be integrated into an ATL machine extracting data from the images, from which an artificial vision module obtains information on the anomalies detected with computer vision, information that a human-machine interface module automatically translates into a language understandable to humans. By avoiding the need to manually enter data for the inspection, human errors are avoided, and the information obtained for each inspection can be automatically saved for record storage. The system is designed to inspect large structural element compounds, such as aircraft wings.