From Research to Application: Projects at Fraunhofer EMFT

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  • Predictive maintenance of gear oils
    © Вячеслав Козырев - stock.adobe.com

    Predictive maintenance of gear oils

    Gear oils make a significant contribution to minimising friction and thus ensure the safe operation of production facilities. In the Smart Gear project, researchers at Fraunhofer EMFT are developing solutions to detect a drop in the performance of gear oils with the help of sensor technology and machine learning methods and to predict when the oil needs to be changed.

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  • AI-Powered Predictive Maintenance for Manufacturing

    Project KIWA: Machine Learning for Zero Downtime in Production

    AI-Powered Predictive Maintenance in Manufacturing
    © Unsplash/ L. Kumar

    AI-Powered Predictive Maintenance in Manufacturing

    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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  • Metal micropumps for soil water analysis
    © Fraunhofer EMFT/ Bernd Müller

    Metal micropumps for soil water analysis

    Fraunhofer EMFT is conducting research on miniaturized suction probes for soil water analysis. The goal is to enable demand-based fertilization by real-time monitoring of the nitrate content in soil water.

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  • Sensors printed on a plant leaf
    © Fraunhofer EMFT

    Sensors printed on a plant leaf

    Efficient use of resources while maintaining high yields from the fields has become a central topic for agriculture. Monitoring various plant parameters, such as their water or nutrient content, plays an important role here. Currently, such parameters are deducted from soil samples by complex and lengthy processes in laboratories. The scientists at Fraunhofer EMFT are working on the development of reliable and faster methods to monitor relevant plant parameters.

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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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  • Automatisierte und nachhaltige Landwirtschaft
    © MEV-Verlag

    Automatisierte und nachhaltige Landwirtschaft

    A reliable food supply is one of the elementary basic needs of our society. What has long been taken for granted is gaining new urgency in the face of current challenges such as climate change, supply chain problems, labor shortages and political and military aggression. Researchers at Fraunhofer EMFT are working on innovative solutions for more productive and at the same time more sustainable agriculture and forestry as part of the EU project AGRARSENSE.

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  • AI-powered inhalation therapy for asthma and COPD

    CAELIA Health: Digital guidance for correct inhaler use

    CAELIA Health digital inhalation therapy
    © CAELIA Health

    CAELIA Health digital inhalation therapy

    Fraunhofer EMFT is developing CAELIA Health, a startup-project, a AI-powered solution for inhalation therapy in asthma and COPD. The system helps patients use their inhalers correctly in daily life, provides clear feedback, and makes therapy measurable – without adding complexity. Its goal is to improve adherence, enhance treatment outcomes, and enable millions of patients to live with fewer symptoms. With CAELIA Health, patients gain more control, confidence, and quality of life.

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  • Ammonia gas sensor module
    © Fraunhofer EMFT/ Bernd Müller

    Highly integrated gas sensor module with micropump

    For Bavaria, the agricultural sector has a significant economic importance with a turnover of around 121 billion euros per year. However, conflicts with the economic goals of farmers and the sustainable goals of environmental and animal protection initiatives occur from time to time due to the different interests involved. Especially the emission of ammonia gases leads to social discussions. Researchers at Fraunhofer EMFT are developing a more efficient measurement method for detecting ammonia gases in agriculture. The aim is to contribute to more environmentally friendly and animal-friendly agriculture.

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  • Sensorpflaster SoreAlert
    © SoreAlert

    Kontinuierliche Gewebeüberwachung für immobilen Patienten

    Every year, over 3 million immobile people worldwide suffer from severe, mostly preventable pressure ulcers, with around 0.6 million in Germany. Pressure ulcers not only cause personal suffering but are also time-consuming and costly to treat. Current prophylaxis methods require significant commitment from nursing staff and do not provide continuous security. Therefore, there is an urgent need for individual and continuous monitoring for effective pressure ulcer prophylaxis. SoreAlert, a potential spin-off from Fraunhofer EMFT, addresses this need with a smart patch that allows for automated monitoring of at-risk body areas and provides early warnings for pressure ulcers.

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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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