Use of robust deep learning methods for the automatic quality assessment of steel products

The concept of the proposed DeepQuality solution is combining deep learning technology with sophisticated management of underlying training data enabeling the optimal use of all available data sources and simplify the configurability and maintainability of decision support system. The complete supply chain and production workflow must be exploitable by the DeepQuality system. Information relevant for the quality decision, but measured at an upstream process, has to be tracked to support consistent and robust quality decisions at the relevant plant.


Model-Based Engineering of complex IT systems 

Domaine: Manufacturing