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

A system to detect anomalies in an automatic placement of composite materials during a manufacturing of structural elements, comprising the following modules:

• an image capture module that can be integrated into an automatic placement machine for composite materials and comprising at least one camera configured to capture images of a surface to be inspected during the manufacture of a structural element comprising the surface, the image capture module being configured to extract data from the images captured by the at least one camera;
• an artificial vision module configured to receive the data extracted by the image capture module and to obtain, by means of a computer vision algorithm using the extracted data, information on anomalies detected on the surface;
• and
• a human-machine interface module configured to receive the information of detected anomalies obtained by the artificial vision module and automatically translate the information received into a language understandable to humans;
• wherein the artificial vision module is further configured to
• identify, using a labeling algorithm for identifying cluster areas, all the areas that the computer vision algorithm detects as anomalies,
• calculate a porosity parameter from a total area value of each cluster area and a Euler number, and
• compare a given minimum size of areas to be inspected together with the calculated porosity parameter, rule out false positives in the detection of anomalies by the computer vision algorithm.