In lithium-ion battery production, inspecting anode and cathode foils is crucial for quality and efficiency. Challenges include detecting defects in high-speed, high-resolution settings. Implementing the Chromasens Line Scan Vision Platform (LVP) with deep learning improves quality control. It involves high-resolution image acquisition, Python-based preprocessing, dataset creation, and anomaly detection using machine learning methods like Autoencoders and CNNs with TensorFlow and Keras.

Download the Whitepaper to learn more about Battery Foil Inspection.