Image-Based Quality Control
Image-based quality control can automate the whole quality control process and be even more precise than the human eye
This solution can be used for any kind of surface quality monitoring, from raw materials to finished products, and can replace costly manual labor or expensive special purpose machinery. Depending on specific requirements, the quality control can be used for context-aware requirements, such as alert appliances and systems of all kinds to dynamically adapt their behavior at runtime. Deep-AI enables frequent updating and retraining of models in real-time at the factory floor, without having to go back to expensive GPU-based training servers in the Cloud or the Datacenter.