Self-Supervised Production Anomaly Detection and Progress Prediction Based on High-Streaming Videos

Information Science, Automation,
production monitoring   self-supervised learning   anomaly detection   aircraft assembly monitoring   Gaussian Mixture Model  

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...