Projects and products of the Cognitive Industrial Systems department

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.

The production of high-performance carding assemblies for the textile industry is extremely complex and requires a high degree of precision. The “Machine Learning for Textile Industry” (ML4Tex) project optimizes this process by predicting the quality of the final product during production.

The Potential pilot AI is a compact, modular solution that offers medium-sized companies a cost-effective way to evaluate the potential of AI processes in their production processes.

The RICE project was launched as part of the technology development program to develop tools that can collect plant data in a minimally invasive manner and actively intervene in processes. The long-term goal is to improve the efficiency of industrial manufacturing systems.

In the Fraunhofer SWAP lighthouse project, ten Fraunhofer institutes are developing technological concepts for the modular and self-organised production of the future, which will no longer be controlled centrally but decentrally - all the way to hierarchical swarms whose participants work together collaboratively and (partially) autonomously.

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.

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.

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.

"Open62541" is the only open implementation of OPC UA, the world language of machine-to-machine communication, programmed entirely in C.

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.