A study of identify defective food products by deep learning

Abstract

In this paper, the authors investigated whether good results can be obtained by using deep learning CNN for bad defect detection. The baking of bread varies widely and the corresponding parts such as burn marks are small relative to the whole bread, so discrimination of defective products is not easy and it has not reached complete automation.