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Project description

  • GAIA-X 4 KI addresses relevant aspects that are necessary for the implementation of automotive use cases based on GAIA-X.
  • First, the goal is to define and implement a data and service landscape that describes the GAIA-X Data Space Mobility.
  • Another central focus of the project is on the aspect of managing the underlying IT resources in the context of capacity management.
  • Furthermore, the goal is to design the data space based on the GAIA-X specifications in such a way that a sector coupling (e.g. with the industry sector) will be possible in a seamless and efficient way.

 

Project information

Task THI

Development and setup of a flexible optical inspection system in the laboratory and test at different positions in the production lines;

Development of AI methods for use in manufacturing; Development of a "monitoring" service within GAIA-X

Project partner Altran Deutschland, Conti Temic microelectronic, Deutsches Zentrum für Luft- und Raumfahrt e.V. - Institut für Verkehrssystemtechnik, Fraunhofer Gesellschaft e.V. , HighGSoft, IAV, Hochschule Offenburg - Institute for Machine Learning and Analytics, Intel Deutschland, Leibniz Universität Hannover - Institut für Internationales Recht, Reusch Rechtsanwaltsgesellschaft, STTech, Deutsche Telekom IoT, T-Systems International, Xapix Software, CONWEAVER GmbH
Project sponsor TÜV Rheinland Consulting, BMWi
Project term 06/01/2021 until 05/31/2024

 

Contact

  1. Prof. Dr. Gordon Elger

    Head of Fraunhofer Application Center "Connected Mobility and Infrastructure"; Research Professor Assembly and Connection Technology

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