Deep-learning-based anomaly detection for lace defect inspection employing videos in production line.
Bingyu LuDing XuBiqing HuangPublished in: Adv. Eng. Informatics (2022)
Keyphrases
- anomaly detection
- deep learning
- production line
- unsupervised learning
- intrusion detection
- production system
- detecting anomalies
- multistage
- anomalous behavior
- video sequences
- network traffic
- network intrusion detection
- machine learning
- supervised learning
- intrusion detection system
- one class support vector machines
- weakly supervised
- detect anomalies
- data sets
- dimensionality reduction
- knowledge discovery
- mental models
- object recognition
- pattern recognition
- image sequences
- feature selection
- artificial intelligence
- negative selection algorithm