Industrial Defect Detection with Machine Learning - Hackathon
PionierGarage | Entrepreneurs. KIT
2nd Place Winner
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!
Proposed Architecture
Performance Metrics
