Scene-Based Visual Anomaly Detection
Evaluation of Visual Anomaly Detection Methods in Real-World Maintenance Scenarios and their Significance for Traceability and Integration into Human-Led Decision-Making Processes
DOI:
https://doi.org/10.52825/th-wildau-ensp.v3i.3521Keywords:
Visual Anomaly Detection, Maintenance, Computer VisionAbstract
This paper investigates the practical applicability of visual anomaly detection methods in realistic maintenance scenarios characterised by variable lighting conditions, perspectives, backgrounds and object variations. Using a scene-based multi-view dataset as an example, the study analyses the extent to which established methods can transfer their high detection performance from controlled benchmark environments to real-world inspection conditions. The results demonstrate robust discrimination performance as well as the potential of multi-view approaches and human-in-the-loop concepts for safety-critical applications.
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