We are happy to be partners into the DeepQuality project, which got funding from the EU RFCS programme.

It aims to contribute towards the automatic quality assessment of steel products by means of a holistic approach combining deep learning technology with sophisticated management of underlying training data to enable the optimal use of all available data sources.

It also aims to simplify the configurability and maintainability of previous DSS.

The project is running as planned and nowadays we are approaching the implementation WPs.