Projects and products of ILT department

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  • © Fraunhofer IOSB

    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.

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  • 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.

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  • Waste4Future: Turning waste into green molecules for chemistry

    Fraunhofer lighthouse project develops holistic approach to plastic recycling

    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.

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  • KERES – Protection of cultural property

    Protecting cultural assets from extreme climate events and increasing resilience

    Simulation eines historischen Gebäudes an einer Küste in Zeiten des Klimawandels
    © Fraunhofer IBP

    Simulation of a historical building in times of climate change.

    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?

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  • AutoInspect: Inspection of complex objects – multisensory, modular, continuously digitized

    Technical infrastructure and digital twin for quality inspection and comprehensive evaluation

    © Fraunhofer IOSB

    “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.

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  • © Fraunhofer IOSB

    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.

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