The IML4E project

VITAREX STÚDIÓ Ltd., the Budapest University of Technology and Economics and the University of Debrecen have submitted a call for proposals under the call number 2019-2.1.1-EUREKA-2020-00016 for the “Support for Hungarian participation in the EUREKA programme”. The application entitled “Industrial Machine Learning for Companies” was deemed worthy of non-refundable support of HUF 63 861 000 by the National Research, Development and Innovation Office. The project is funded by the Ministry of Innovation and Technology with support from the National Research Development and Innovation Fund under the 2019-2.1.1-EUREKA grant programme. The project started on 1 June 2021 and will end on 31 May 2024 in Hungary. The international project will continue until the end of the summer.

VITAREX STÚDIÓ Ltd., as the leader of the consortium, received 29 806 000 HUF non-repayable grant from the National Research, Development and Innovation Fund, with a grant intensity of 82.9%. The Budapest University of Technology and Economics received 22 050 000 HUF and the Faculty of Public Health of the University of Debrecen received 12 005 000 HUF non-repayable grant, both with a grant intensity of 100%.

Within the project, VITAREX STÚDIÓ Ltd., the consortium leader, is preparing a case study as a Hungarian participant of the international IML4E call in cooperation with the Budapest University of Technology and Economics and the University of Debrecen. The machine vision application based on machine learning performs posture analysis and helps to identify specific cases of incorrect posture. The other part of the project will focus on general MLOps operations, including solutions for debugging machine learning algorithms.

The Hungarian consortium is participating in the EU project together with Finnish and German partners. The international partners include the Fraunhofer FOKUS Institute and the University of Helsinki, together with several other participants. The international project has a total budget of almost €11 million. More information and project results are available on the international project website.