Anomaly Detection in the Metal-Textile Industry for the Reduction of the Cognitive Load of Quality Control Workers.
Tobias ArndtMax ConzenIngo ElsenAlexander FerreinOskar GallaHakan KöSeStefan SchifferMatteo TscheschePublished in: PETRA (2023)
Keyphrases
- anomaly detection
- quality control
- cognitive load
- working memory
- intrusion detection
- machine vision
- detecting anomalies
- quality assurance
- anomalous behavior
- manufacturing systems
- product quality
- unsupervised anomaly detection
- learning outcomes
- network traffic
- network intrusion detection
- detecting anomalous
- automated visual inspection
- network anomaly detection
- detect anomalies
- intrusion detection system
- manufacturing process
- case study
- skill acquisition
- pupil size
- defect detection
- negative selection algorithm
- real time
- image processing
- cognitive load theory
- training data
- model selection