DeepLearning based machine vision

About the innovation:

We are using modern deep learning to train our system to detect anomalies in any kind of image or video. This enables the detection of anomalies above a certain threshold for purposes of defect classification. Additionally, we combine this with classic machine learning to realize an error prevention system.
This is possible by looking for recurring patterns of early signs of quality deterioration with an added semantic understanding of potential error sources to produce meaningful warning reports.