BFI VDEh-Betriebsforschungsinstitut GmbH

BFI VDEh-Betriebsforschungsinstitut GmbH
deutsch deutsch englisch englisch
  • The Institute
    The Institute. Contact.
  • Core compentencies
    CO2 reduction and energy efficiency. Digitisation and Process Measurement . Circular Economy. Process Optimisation.
  • Projects.
  • Services
    Laboratory and technical centre. High-temperature pilot plant. Operational campaigns. Minimisation of dust emissions and immissions. Modelling simulation calculations. Tax incentives for research. Funded Research. Patents and licensing. Expert opinions and committee work.
  • Solutions
    BFI Shapemeter Roll. Optical measuring systems. Software solutions.
  • Publications.
  • News.

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

Deep Learning aims to improve 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 and simultaneously simplify the configurability and maintainability of previous decision support system.

This project combines deep learning technology with sophisticated management of underlying training data and consists of the following concepts realizing a human-centered lifecycle for the robust industrial application of deep learning quality models.

  • Production data pipelines.
  • Industrial Training Data Management.
  • Robust Application of Deep Learning techniques.
  • Online application of Deep Learning quality models.
back

partners

ArcelorMittalCaleotto Steel SpecialistCetic Your Connection To ICT ResearchSMS GroupRINA

Funding reference

101034037

Your contact person

Dr. Ahmad Rajabi

38 Dr. Ahmad Rajabi

+49 211/98492-215
ahmad.rajabi_at_bfi.de

VDEh-Betriebsforschungsinstitut GmbH
Sohnstrasse 69
40237 Düsseldorf
Germany

Follow us:external Link. external Link.

Imprint Information on Data Protection Antitrust Law Guidlines Gender Equality Plan (GEP) Terms and Conditions