Refine
Year of publication
Document Type
- Conference Proceeding (23)
- Article (15)
- Part of a Book (1)
Keywords
- 3D object detection (1)
- Anomaly detection (1)
- Datasets (1)
- Deep learning (1)
- LiDAR (1)
- Neural networks (1)
- Process optimization (1)
- Quality control (1)
- Three-dimensional displays (1)
- autonomous driving (1)
- do-it-yourself (1)
- education (1)
- embedded hardware (1)
- information systems (1)
- sensor networks (1)
This paper presents an approach for reducing the cognitive load for humans working in quality control (QC) for production processes that adhere to the 6σ -methodology. While 100% QC requires every part to be inspected, this task can be reduced when a human-in-the-loop QC process gets supported by an anomaly detection system that only presents those parts for manual inspection that have a significant likelihood of being defective. This approach shows good results when applied to image-based QC for metal textile products.