Self-supervised Production Anomaly Detection and Progress Prediction Based on High-streaming Videos Background Introduction In modern manufacturing, real-time production monitoring, progress prediction, and anomaly detection are crucial for ensuring production quality and efficiency. However, traditional vision-based anomaly detection methods strug...

With the rapid development of deep learning technology, the importance of data mining and artificial intelligence training techniques in practical applications has become increasingly prominent. Especially in the field of multivariate time series anomaly detection, existing methods, though excellent, still face significant issues when dealing with ...