From Research to Application: Projects at Fraunhofer EMFT

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  • AI-Powered Predictive Maintenance for Manufacturing

    Project KIWA: Machine Learning for Zero Downtime in Production

    © Unsplash/ L. Kumar

    The aim of predictive maintenance is to maintain operating resources proactively and with foresight. This should reduce downtime and maintenance costs to a minimum. Researchers at Fraunhofer EMFT are testing new concepts that use machine learning methods to efficiently process even extremely heterogeneous data and make accurate maintenance predictions for production facilities.

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  • Electrical Interconnection Technology as Diagnostic Interface
    © Fraunhofer EMFT/ Bernd Müller

    Wireless intelligent PCB connector for continuous measurement of contact temperature and individual contact current load, providing key data for predictive maintenance

    Whether in automobiles – especially in the context of autonomous driving – or future industrial manufacturing: plugs and electrical connection technologies have a key role to play in digital networking. They are the main interface between machines, control units and data processing systems and so they provide the basis for the functionality, simple handling and reliability of automation technology.

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  • Multielectrode array with integrated impedance electrodes
    © Fraunhofer EMFT/ Bernd Müller

    Multielectrode array with integrated impedance electrodes for testing insecticide effects in 96-well format

    In the project ‘Insect cells as sensors for environmental toxins’, Fraunhofer EMFT is developing a novel test method in which living insect cells are used as sensitive biosensors. This allows even the smallest toxic effects of pesticides to be detected quickly, without labelling and automatically. The aim is to identify risks at an early stage and support the development of bee-friendly pesticides – an important contribution to the protection of insects and biodiversity.

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  • The research project »Velektronik - Vertrauenswürdige Elektronik (ZEUS)« of the German Federal Ministry for Education and Research (BMBF), aims to establish a networking platform for trusted electronics as an interface between research and industry.

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  • Analog Accelerator for Inference at the Edge
    © 2018 Shutterstock

    Analog Accelerator for Inference at the Edge

    Edge computing is considered a key for new IoT applications. In order to bring artificial intelligence into future edge products, Fraunhofer EMFT researchers are working together with Fraunhofer IIS and Fraunhofer IPMS as part of the EU ANDANTE project to develop innovative mixed-signal artificial neural network (ANN) accelerator with computation-in-memory (CIM) ability. These are intended to enable the construction of solid hardware and software platforms for AI application development.

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  • © Fraunhofer EMFT

    The Mobile Learning Hub - shown here in a seminar room of the ZVE - enables practical training also remotely. Like a mobile booth, it can be easily transported on wheels.

    With the Soldering Mobile, the Center for Interconnection Technology in Electronics ZVE at Fraunhofer EMFT is now offering its customers an attractive alternative to onsite training courses at the Oberpfaffenhofen training center. The soldering station on wheels can be put into operation directly at the customer's premises using plug & play.

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  • Biogenic Value Creation and Smart Farming
    © Fraunhofer IGD

    Biogenic Value Creation and Smart Farming

    The Fraunhofer Center for »Biogenic Value Creation and Smart Farming« conducts research and development on innovative technologies for sustainable production and processing of agricultural products along the whole value chain.

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  • Roadar Early Warning System against Aquaplaning
    © Fraunhofer EMFT /Bernd Müller

    Roadar early warning system for the prevention of aquaplaning

    Aquaplaning and black ice turn streets into dangerous slides, which often leads to serious accidents. Within the framework of the high-performance center »secure intelligent systems« (LZSiS), Fraunhofer EMFT and Uedelhoven Studios are working together on a solution to the problem. A real-time warning system shall identify the potential danger due to water or ice on the road surface, thus enabling a predictive detection of the road conditions. Such an early warning system would increase the road safety for all traffic participants.

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  • INCA Plasma for greener semiconductor porcesses
    © Fraunhofer EMFT/ Bernd Müller

    Novel inductively coupled plasma array with decoupled INCA plasma source.

    Approximately 80 % of the CO2 footprint of average electronic components is created already during their production. A Fraunhofer EMFT research team is working on optimizing semiconductor manufacturing processes in order to minimize the use of climate-damaging process gases. In this context, the scientists are also testing more climate-friendly alternatives to etching gases used as standard today.

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