Projects and products of ILT department

The vision of the Smart Factory Web is to create a network of intelligent factories in order to improve the order fulfilment of the participating companies. This is to be achieved by aligning capacities across production sites, firstly by flexibly adapting production capabilities and secondly by sharing resources, assets and inventory.

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.

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

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.

As part of the joint project iTEXFer, we are developing an expandable Industry 4.0 construction kit specifically tailored to the textile industry.

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?

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.

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