Leveraging Unsupervised Learning for Cost-Effective Visual Anomaly Detection

Yunbo Long, Zhengyang Ling, Sam Brook +2

Traditional machine learning-based visual inspection systems require extensive data collection and repetitive model training to improve accuracy. These systems typically require ex…