iENA bronze medal for "Longer life for wireless/radio sensors – Self-learning sensor system for industrial maintenance"
Erfindermesse iENA in Nürnberg, 1. – 3.11.2025; Thüringer Auszeichnungsveranstaltung zum iENA-Wettbewerb am PATON – Landespatentzentrum Thüringen, Technische Universität Ilmenau, 11.12.2025
Related content
Project
HoLoDEC
IMMS researches ultra-low-power architectures (ULP) and circuit concepts as well as energy-efficient edge-AI systems with overall system energy modeling
Vom Sensor zur Entscheidung: Souveräne Datenverarbeitung auf eingebetteten Systemen
Sebastian Uziel1KI Summer Connect: Souveräne KI – Daten, Modelle und Infrastruktur in eigener Hand, , Jena, Germany1IMMS Institut für Mikroelekronik- und Mechatronik-Systeme gemeinnützige GmbH (IMMS GmbH), Ehrenbergstraße 27, 98693 Ilmenau, GermanyCase Study on Compression of Vibration Data for Distributed Wireless Condition Monitoring Systems.
Rick Pandey1, Felix Grimm2,3, Dominik Nille2, Christoph Böckenhoff2, Jonathan Gamez1, Sebastian Uziel1, Albert Dorneich2, Tino Hutschenreuther1, Silvia Krug1,4Applied Sciences 2025, 15(22), 12346, DOI: doi.org/10.3390/app1522123461IMMS Institut für Mikroelekronik- und Mechatronik-Systeme gemeinnützige GmbH (IMMS GmbH), Ehrenbergstraße 27, 98693 Ilmenau, Germany, 2Balluff GmbH, Zabergäustraße 8, 73765 Neuhausen auf den Fildern, Germany, 3University of Stuttgart, Institute of Smart Sensors (IIS), Pfaffenwaldring 47, 70569 Stuttgart, Germany, 4Mid Sweden University, Department of Computer and Electrical Engineering, Holmgatan 10, 851 70 Sundsvall, SwedenSmartes Maschinenmonitoring – Anomalien mit Edge-KI detektieren
Sebastian Uziel1in Markt&Technik, Trend Guide Industrie 4.0/IIoT/KI, 2025, pp. 37-40, https://wfm-publish.blaetterkatalog.de1IMMS Institut für Mikroelekronik- und Mechatronik-Systeme gemeinnützige GmbH (IMMS GmbH), Ehrenbergstraße 27, 98693 Ilmenau, GermanySmartes Maschinenmonitoring – Anomalien mit Edge-KI detektieren
Sebastian Uziel1in elektroniknet.de, , https://www.elektroniknet.de/automation/industrie-40-iot/anomalien-mit-edge-ki-detektieren.228572.html1IMMS Institut für Mikroelekronik- und Mechatronik-Systeme gemeinnützige GmbH (IMMS GmbH), Ehrenbergstraße 27, 98693 Ilmenau, Germany
Patent
DE 10 2024 100 703
Method and sensor arrangement for monitoring the function of a machine component
Press release,
Extended service life for self-teaching wireless sensors for industrial maintenance
IMMS patent for edge AI solution wins bronze medal at iENA 2025
Press release,
AI without the net: Energy-efficient edge AI sensor system for industrial monitoring applications
IMMS exhibits at embedded world
Event,
InnoCON 2026
Praxisnahe Plattform Thüringens für Austausch, Inspiration und den Einstieg in Forschung und Entwicklung unter dem Leitmotiv „Erfolg durch Kooperation und Vernetzung“
Event,
SMACD 2025
International Conference on Synthesis, Modeling, Analysis and Simulation Methods, and Applications to Circuit Design
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Lead application
IoT systems for cooperative environmental monitoring
We are researching energy-efficient solutions for IoT systems to open up new applications for cooperative environmental monitoring, such as in agriculture.
Core topic
Real-time data processing and communications
New hardware is usually not supported by operating systems for real-time tasks. We are researching which operating system can be implemented in which way for which real-time application and the hardware required there.
Research field
Smart distributed measurement and test systems
Integrated sensor ICs are the heart of sensor and measurement systems like wireless sensors, stationary or handheld devices. We are researching solutions for ever more powerful sensors with more intrinsic intelligence and task allocation in the network.
Contact
Contact
Dr.-Ing. Tino Hutschenreuther
Head of System Design
tino.hutschenreuther(at)imms.de+49 (0) 3677 874 93 40
Dr. Tino Hutschenreuther will answer your questions on our research in Smart distributed measurement and test systems and the related core topics Analysis of distributed IoT systems, Embedded AI and Real-time data processing and communications, on the lead applications Adaptive edge AI systems for industrial application and IoT systems for cooperative environmental monitoring as well as on the range of services for the development of embedded systems.