Cognex Deep Learning can easily confirm the presence and absence of straws without damage. It can be trained on a small set of images of undamaged straws, as well as a set of images of various unacceptable missing, damaged, or misplaced straws. The classification tool learns to ignore any background and classifies all images into acceptable or unacceptable states. Since there is no need to identify and define specific defects, the classification process is very fast. It only needs to judge acceptable/unacceptable.