Defect Identification Challenge to find an efficient and exact process for error detection in the production line using Computer Vision, Deep Learning or Classical Machine Learning based techniques.
PionierGarage | Entrepreneurs. KIT
The challenge is to find an efficient and exact process for error detection in the production line. You will get real data of a manufacturing defect of an operational manufacturing with the aim to classify it in the team binary (good / bad). The current approach is a visual inspection of the products by a camera. This procedure, as well as the final processing (deep learning / feature extraction / ...) is up to you as a participant!
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