Patates Dolbec was not satisfied with the performance (30% error rate) of their legacy optical sorting machine, causing them to have to manually remove the remaining defects and losing a large number of good potatoes and the profits associated with it. In an industry with chronic labor shortage, a better solution was crucial. With the ever-changing nature of grown products, they needed an evolutive solution to be able to adapt to the changes in the base product.
We, therefore, retrofitted their optical sorting machine with high-definition cameras and a state-of-the-art deep-neural-network computer vision model to leverage recent development in AI and computer vision. To allow for periodic retraining of the model, a machine learning pipeline was developed in the AWS cloud. From datastore, labeling, and training to model registry and edge deployment, the AWS cloud is the foundational backbone of the upgraded sorting machine.