Press releases and news

All press releases of Fraunhofer IOSB including it's IOSB-AST and IOSB-INA branches (as far as they have been published in English)

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  • Making production processes that are still immature quickly usable with the help of artificial intelligence: This is the goal of an alliance of researchers from KIT and Fraunhofer IOSB, which has now been granted extensive funding by the Deutsche Forschungsgemeinschaft (German Research Foundation, DFG) within the framework of the strategic AI funding initiative. This will help to further combine the research fields of AI and engineering in the context of industrial production and to advance the scientific activity in the newly opened Karlsruhe Research Factory.

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  • Robotic arm in press hardening process in sheet metal working
    © Fraunhofer

    The quality of industrial production processes is ensured by a large number of sensor-based individual inspections. This generates large amounts of data. However, until now, the information from the individual sensors has generally only been looked at in isolation. The AutoInspect solution from the Fraunhofer Institute of Optronics, System Technologies and Image Exploitation IOSB overcomes this issue by linking all of the data to create a consolidated overview. Now, for the first time, linking the measured values is facilitating intelligent evaluation and the detection of hidden faults. This increases efficiency and ultimately improves product quality. A demonstrator will be presented at the Hannover Messe 2022 from May 30 to June 2 at the joint Fraunhofer booth in Hall 5, Booth A06.

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  • We are pleased to announce the release of our open-source software FA³ST Service v0.1.0 as first building block of the Fraunhofer Advanced Asset Administration Shell Tools for Digital Twins (FA³ST). FA³ST Service enables you to create and run Digital Twins based on the Asset Administration Shell (AAS) specification by Plattform Industrie 4.0 that can be interacted with via standard-conform APIs.

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  • Robotic arm in press hardening process in sheet metal working
    © Fraunhofer

    Artificial intelligence is regularly applied in areas such as image analysis and speech recognition. However, in the industrial production sector its potential is still scarcely used. Several Fraunhofer institutes have recently developed a solution as part of the lighthouse project “ML4P — Machine Learning for Production”, which aims to make industrial manufacturing much more efficient through the use of machine learning. The software suite is very flexible and can be easily applied in existing production processes.

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  • Mobility services offer people a variety of ways to get from A to B. Whether bus and train, bicycle or e-scooter, car-sharing or private car: the options are steadily increasing and can contribute significantly to more sustainable, cheaper and healthier mobility. The choice of the appropriate means of transport always depends on the circumstances: Which services are available, how is the weather developing, is there a lot of traffic or limited parking at the destination? Seamless mobility means being able to choose the most suitable means of transport for each leg of the journey and to switch between them quickly and conveniently.

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  • © Philipp Plum/ Fraunhofer FOKUS

    In January 2022, the newly founded Fraunhofer Center for Security of Socio-Technical Systems SIRIOS in Berlin started operations. In comprehensive research and development projects, it bundles the competencies of four Fraunhofer institutes. The aim is to set up a research, test and training environment for security authorities, rescue services and operators of critical infrastructure over the next four years. There, complex security scenarios can be simulated, experienced virtually and tested in real life. The direct participation of citizens should also be made possible, e.g. by assessing the subjective sense of security.

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