Investigate methods and develop data driven algorithms to deal with typical, specific factory floor challenges like non-invasive material inspection, multi-sensory anomaly detection and similar under real world conditions like e.g.
- Real-time constraints of required pre-processing and machine learning algorithms
- Unforeseeable data distribution shift (mis-calibration of sensors, changing environmental conditions – e.g. lighting, temperature etc.)
- Optimization of results / dealing with limited training data; dynamic model adaption