Deep learning object detection on high resolution image for food industry

At the end of their production, the lasagne sheets come out from the pasta dryer and they are deposited on a conveyor belt. The products need to be detected and checked before the packaging. An algorithm, to detect the position of the lasagne sheets on the belt, has been developed to send the sheets’ coordinates at the industrial robot that performs a pick and place task. An algorithm, to perform detection of different type of defects on the lasagna sheets, has been developed, using a Deep Neural Network, to distinguish the good products from the defected ones.