Real-Time Product Label Classification in a Manufacturing Environment
In this thesis, a convolutional neural network was designed to perform real-time image classifications of ten product classes within a fast-paced, unstable manufacturing environment for quality control, while also linking it to a business case. Out of six eligible models that performed well on test data, only one proved good performance in simulated test runs, using out-of-sample test data. The fi
