Explainability of deep learning classifier decisions for optical detection of manufacturing defects in the Automated Fiber Placement process

Automated fibre layup techniques are commonly used composite manufacturing processes in the aviation sector and require a manual visual inspection. Neural Network classification of defects has the potential to automate this visual inspection, however, the machine decision-making processes are hard to verify. Thus, we present an approach for...