On-Device Continual Learning for Unsupervised Visual Anomaly Detection in Dynamic Manufacturing

Haoyu Ren, Kay Koehle, Kirill Dorofeev +1

In modern manufacturing, Visual Anomaly Detection (VAD) is essential for automated inspection and consistent product quality. Yet, increasingly dynamic and flexible production envi…