Press Releases

Learn about current research topics, projects, developments as well as events and trade fair appearances. If you have any questions about one of our press releases or need further information, please do not hesitate to contact us. In case of reporting, please send us a voucher copy.

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  • Research and Development | Press Release | Reading Time 1 Min. / 2022

    TimestampsAI - a faster and data-reduced solution for high-resolution LiDAR systems@embedded world 2022

    June 15, 2022

    The business unit Mobility of the Fraunhofer-Institute for Microelectronic Circuits and Systems IMS presents its latest development TimestampsAI for environment recognition at the »embedded world 2022« in Nuremberg from 21 to 23 June. TimestampsAI provides a faster and data-reduced solution for high-resolution LiDAR systems to capture complex scenes in 3D in any environment.

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  • The business unit Health of the Fraunhofer-Institute for Microelectronic Circuits and Systems IMS presents its contactless vital parameter measurement as a demonstrator at the »embedded world 2022« in Nuremberg from 21 to 23 June. The contactless measurement of vital parameters offers a way to quantify health parameters quickly, accurately, hygienically and conveniently.

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  • Research and Development | Press Release | Reading Time 1 Min. / 2022

    Customizable gesture recognition and training with the embedded AI library AIfES@embedded world 2022

    June 15, 2022

    The Embedded Software and AI core competence of the Fraunhofer-Institute for Microelectronic Circuits and Systems IMS will present a customizable AI-based gesture recognition algorithm from June 21 to 23. The algorithm was developed using the Fraunhofer software AI framework AIfES, which supports highly efficient implementation of neural networks on embedded systems. In addition to applications in the field of device and machine operation, this gesture recognition method is also suitable for gaming applications, in the smart home as well as in the medical field.

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  • Research and Development | Press Release | Reading Time 1 Min. / 2022

    RISC-V-based 32-Bit-processor AIRISC@embedded world 2022

    June 15, 2022

    The Smart Sensor Systems core competence and the unit Industry of the Fraunhofer-Institute for Microelectronic Circuits and Systems IMS will present the AIRISC-processor from June 21 to 23. It is able to evaluate sensor data up to 80 % faster.

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  • Three business units and two core competences of the Fraunhofer-Institute for Microelectronic Circuits and Systems IMS present their applications at the »embedded world 2022«. Contactless vital parameter measurements, gesture recognition with the AIfES software framework, the RISC-V processor AIRISC and TimestampsAI for environment recognition: You can experience two demonstrators, an exhibit and the institute's latest LiDAR development at the Fraunhofer-Joint Booth in Hall 4-422 from June 21 to 23.

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  • New AI hardware acceleration for smart sensor technology at Fraunhofer IMS / 2022

    RISC-V processor AIRISC accelerates sensor data analysis by 80 %

    May 02, 2022

    The RISC-V processor AIRISC, a 32-bit RISC (Reduced Instruction Set Computer) architecture, now features instruction set extensions and coprocessors for efficient neural network computation. For a medical application to detect atrial fibrillation in ECG data, we achieved a speed advantage of over 80% in evaluation with only 10% higher area and power requirements.

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  • Mit dem AIRISC core stellt das Fraunhofer IMS seinen leistungsfähigen RISC-V Embedded-Prozessorkern für Sensorik-Aufgaben unter eine Open Source Lizenz, welche auch die Verwendung für kommerzielle Produkte erlaubt. Mit dem leistungsfähigen 32-Bit AIRISC-Kern lassen sich Produkte mit FPGAs schnell und kostengünstig entwickeln, die Umsetzung in einen (Mixed-Signal-)ASIC ist anschließend aufgrund der identischen Codebasis in Rekordzeit möglich und erfordert für den Basiskern keine kommerzielle Lizenz.

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  • AIfES Update and Training

    February 17, 2022

    AIfES Update
    © Fraunhofer IMS

    Since the beginning of the year an AIfES® update (version 2.1.1) is available. It can be downloaded directly from the Arduino IDE using the Arduino Library Manager or alternatively from GitHub. Here is an overview of the new features: - The new AIfES Express API - Q7 weight quantization - Arm® CMSIS integration enhanced by the NN functions.

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  • GaNext ASIC
    © Fraunhofer IMS

    The AIRISC enables efficient machine learning and AI in sensors, IoT devices and other embedded applications. The free RISC-V processor instruction set is ideally suited to implement custom extensions in a short time to provide optimal performance for specific applications. In combination with the AIfES software library developed by Fraunhofer IMS, the AIRISC processor family supports neural network inference and training directly on the embedded device.

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  • The Fit4eChange project makes distribution networks fit for the energy transition: The aim of the project is to continuously monitor energy flows and loads in low-voltage distribution networks, which are used very dynamically, in real time. Intelligent sensor systems are used to collect, collate and communicate relevant information. Only then will it be possible to control and optimally integrate generators and consumers in a way that serves the grid.

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  • Eine Reihe von Mikrolinsenarrays
    © Fraunhofer IMS

    The performance of optical sensors depends strongly on the proportion of the light-sensitive area. Adapted microlens arrays can be used to target photons to the active areas of the sensor to significantly increase sensitivity. Adapted microlens arrays were selectively imaged onto SPAD-based sensors on 8" wafers and lead to an increase in sensitivity by a factor of 7.

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  • Hanno Platz, Burkhard Heidemann and Dr. Uso Walter at the handover of EQUIMedi in Duisburg. Photo: EQUIVert

    Last Wednesday, the EQUIVert team started delivering the first EQUIMedi devices. One device was personally handed over to Dr. Uso Walter for his practice. He is chairman of the board at HNOnet NRW eG, which helped develop the EQUIVert products. “I am delighted to finally hold the finished product in my hands and now be able to use it”, explains Dr. Walter.

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  • T-KOS Logo
    © Fraunhofer Mikroelektronik

    In the recently launched joint project "T-KOS" of the Research Fab Micro-electronics Germany (FMD), terahertz technology is now to be developed synergistically for industry in the fields of communication and sensor technology for the first time. Innovative system solutions in both areas can make a significant contribution to the successful implementation of future issues such as digitalization, Industry 4.0 or resource efficiency and thus strengthen Germany as a business location in the long term.

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  • The random numbers are extracted at high speed and checked for goodness.
    © Fraunhofer IMS

    Secure encryption plays an important role in all areas of digital life in the face of rapid digitization and powerful hardware of potential attackers. Randomly generated keys form the basis and can represent a critical weak point in the case of algorithmically generated numbers. Only phenomena from the quantum world that are unpredictable in their essence can guarantee true randomness. In order to extract this quantum information from single photons, highly sensitive image sensors of Fraunhofer IMS are used and further developed as Quantum Random Number Generator (QRNG). Translated with www.DeepL.com/Translator (free version)

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  • Velektronik Logo
    © Velektronik

    In order to use electronics safely and reliably, it must be possible to understand where they come from, what they do and how they are constructed. Although there are currently a number of technical solutions for trustworthy electronics, there is still no consistent methodology for trustworthiness that adequately covers the entire value chain. The research project launched in March 2021 will start here.

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  • Vision of the ALBACOPTER
    © Fraunhofer IVI

    Conquering the third dimension with the ALBACOPTER lead project - Among the most powerful gliding birds is the albatross. Its terrific maneuverability and effortless hovering on air currents over thousands of kilometers are admirable. A consortium of six Fraunhofer institutes wants to take this phenomenon from nature and develop the ALBACOPTER, a flying machine that not only hovers fantastically but can also take off and land efficiently. The official kick-off meeting took place virtually on March 8, 2021.

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  • University Medicine Essen / 2021

    Reduced risk of infection due to contactless measuring technology

    February 24, 2021

    © agurgentcare.com

    Researchers at the Medical Faculty of the University of Duisburg-Essen (UDE) are developing a mobile measurement system that can be used to determine the health status of people with infectious diseases contactlessly, continuously and regardless of location. This would not only drastically reduce the risk of infection, for example in the case of COVID-19; it would also make it possible to detect critical deteriorations in those affected more quickly and arrange for them to be transferred to hospital

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  • Mit dem Biofeedback-System wird erstmalig professionelle Schwindeltherapie auch zu Hause ermöglicht.
    © GED Gesellschaft für Elektronik und Design mbH

    The biofeedback systems EQUIFit© and EQUIMedi© are now approved as medical products for dizziness therapy and can therefore carry the CE mark. The marketing launch is scheduled for end of 2020. The devices are the main components of the EQUIVert© solution, which researchers at the Fraunhofer Institute for Microelectronic Circuits and Systems in Duisburg developed together with colleagues from the University of Duisburg-Essen, GED Gesellschaft für Elektronik und Design mbH and Dr. Uso Walter from HNOnet NRW eG.

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  • Ein Teil des Forschungsteams: Sebastian Kruß (links) und Robert Nißler
    © Alexander Spreinat

    Researchers from Bochum, Göttingen, Duisburg and Cologne have developed a new method for detecting bacteria and infections. They use fluorescent nanosensors to detect pathogens faster and easier than is possible with established methods.

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  • Dr. Sebastian Kruss leitet eine neue Forschungsgruppe am Fraunhofer IMS in Duisburg. Bis 2025  soll sie Biosensoren entwickeln, die unter anderem Corona-Viren in Echtzeit aufspüren können.
    © Fraunhofer IMS

    With the help of optical biosensors, bacteria and viruses could be detected in seconds. Patients would no longer have to wait days for their test results, sterile rooms, medical equipment, production processes and food could be monitored in real time. A new working group has been founded at the Fraunhofer IMS in Duisburg that wants to make all this possible.

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  • The Fraunhofer Institute for Microelectronic Circuits and Systems (IMS) has launched a new project, “Advanced packaging for photonics, optics and electronics for low-cost manufacturing in Europe” simply called APPLAUSE. The consortium has got 31 European partners from 11 countries, represented by key players in the fields of electronics packaging, optics and photonics, equipment supply and testing. APPLAUSE will enhance European expertise in advanced packaging and assembly to develop new tools, methods and processes for high volume manufacturing.

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  • The corona virus is keeping us and millions of people around the world on edge. We at Fraunhofer IMS are informed on behavior guidelines, precautionary measures, contact persons and relevant data sources and are monitoring the specialized information of the local authorities and health organizations closely. A catalog of preventive and accompanying measures developed by Fraunhofer is securing a risk-minimizing, responsible and also moderate way to deal with the situation and therefore ensuring us to be well equipped for possible future developments.

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  • The Fraunhofer Institute for Microelectronic Circuits and Systems IMS in Duisburg will have its own fair stand at the COMPAMED trade fair for the first time in 2019. The institute intends to further intensify research in the field of medical technology and biosensors in the future.

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  • The Fraunhofer Institute for Microelectronic Circuits and Systems IMS has developed a trustworthy embedded AI (Artificial Intelligence) on an RISC-V basis. With this development the research institute from Duisburg is expanding its offerings for Trusted Electronics.

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  • In the context of climate protection, the importance of energy efficiency is increasing, as is the share of electricity from renewable energies. Thousands of wind farms, solar modules and biogas plants already generate large quantities of green electricity. The expansion of wind power plants in particular has led to leaps in performance in recent years. In addition to the optimal utilization of the high-voltage overhead lines, the rapid detection of hazardous situations is a central issue. Fraunhofer IMS has developed a sensor system with energy self-sufficient sensor modules for monitoring the operating parameters.

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  • Artificial intelligence for microcontrollers and embedded systems / 2019

    Machine learning for sensors

    Research News / June 04, 2019

    Today microcontrollers can be found in almost any technical device, from washing machines to blood pressure meters and wearables. Researchers at the Fraunhofer Institute for Microelectronic Circuits and Systems IMS have develo-ped AIfES, an artificial intelligence (AI) concept for microcontrollers and sensors that contains a completely configurable artificial neural network. AIfES is a plat-form-independent machine learning library which can be used to realize self-learning microelectronics requiring no connection to a cloud or to high-perfor-mance computers. The sensor-related AI system recognizes handwriting and gestures, enabling for example gesture control of input when the library is running on a wearable.

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  • An AI platform should build an ecosystem for health economy. The Fraunhofer-Gesellschaft is participating with the institutes IMS and IIS as consortium partners and wants to help SMEs with the integration of AI solutions. The VDE wins with the project “CareFul KI” in the AI innovation competition that was organized by the BMWi and thereby proving themselves against 130 other applicants.

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