Projects and products of ILT department

In the GLUE project we develop trustworthy solutions for distributed usage control in industrial settings based on trusted computing technologies.

A project of the same name aims to harness our experience across a whole host of AI application domains to realize MLOps with maximum effectiveness and automate it as far as possible. To that end a software suite was developed that incorporates a wide range of tools for creating machine learning applications and training the ML models.

The FA³ST Ecosystem is a practical, open and extensible solution for companies to efficiently use asset administration shells and drive innovation in the area of digital twins and data-driven business models.

"Several Fraunhofer Institutes are collaboratively developing a data space solution for the independent and interoperable exchange of PCF data across borders."

In the lighthouse project Factory-X, an open and collaborative data ecosystem for factory outfitters and operators is being developed on the basis of Catena-X and concepts of the Industry 4.0 platform. Fraunhofer IOSB is involved in or leading a number of use cases.

PrognoSF aims to accurately predict local flash floods by analyzing all available data sources with AI-based algorithms.

Economic efficiency, sustainability, ecology and individuality: Intermodal mobility - the use of different modes of transport on one route - has great potential. But the complexity must remain manageable. In other words: Getting to your destination intermodally, for example with a combination of (rental) bike, public transport and e-scooter, must be as easy and pleasant as reaching for your own car key.

Secure exchange and simple linkage of data in business ecosystems.

GUIDELines for data protection in scientific research on aspects of human-technology interaction.

Keeping carbon in the cycle, and thus avoiding plastic waste and emissions: That is the goal of the “Waste4Future” project. Several Fraunhofer institutes and facilities IMWS, IZFP, IWKS, IOSB, FHR, LBF and IVV are pooling their competences to develop an entropy-based assessment model for carbon-containing waste streams and new technologies for sensing, sorting and mechanical and chemical recycling.