Projects and products of ILT department

The "Competence Centre for AI Engineering CC-KING" offers companies concrete support in the use of methods of artificial intelligence (AI) and machine learning (ML). It researches the basics and develops tools for a low-threshold implementation of AI and ML in business practice.

In the Fraunhofer ML4P lead project, several Fraunhofer Institutes are pooling their application experience and machine learning skills to develop solutions for industry. The aim is to develop a tool-supported process model that paves the way for flexible, fast-learning machines and systems.

The Karlsruher Forschungsfabrik for AI-integrated production offers the special opportunity to research and develop the topic of “Intelligent Production” in a practical way on real processes.

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.

The KERES project aims to contribute to finding answers to the following questions: What security risks arise from extreme weather events that are increasing in both frequency and magnitude? And: What adaptation strategies need to be developed for Germany?

ELD-BS: ein bewährtes Werkzeug zur Unterstützung der Behörden im Krisen- und Katastrophenfall

Fraunhofer Advanced Asset Administration Shell Tools for Digital Twins for implementing and managing digital twins based on the asset administration shell.

“AutoInspect” is a system for continuous object assessment (in real time) by multimodal inspection along the production cycle. Both a direct reaction to the results and their long-term observation are possible. The system is supported by a digital quality twin with open I4.0 standards.

The project will create a laboratory platform for the development and testing of AI-based solutions for the connected city of the future. The areas of energy, mobility and logistics will be considered in an integrated manner.

The Industrial Security Testing Framework "ISuTest" is a tool for finding weak points in the implementation of automation components. Discovered weak points can be corrected by the manufacturer and thus reduce the component's vulnerability. In the future, robustness against attacks will be a quality criterion with which manufacturers can distinguish themselves from others.