Projects and products of ILT department

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  • Factory-X – a sovereign data room for mechanical and industrial engineering

    An open data ecosystem for factory equipment suppliers and their customers - on the foundations of Industrie 4.0 and Gaia-X/Catena-X

    In the lighthouse project Factory-X, an open and collaborative data ecosystem for factory outfitters and operators is being developed on the basis of Catena-X and concepts of the Industry 4.0 platform. Fraunhofer IOSB is involved in or leading a number of use cases.

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  • Humanoid Robots Experience Lab

    From Experience to Application: We offer a “hands-on” approach to humanoid robotics –
    as a foundation for developing concrete use cases and roadmaps

    Whether you’re a pioneer from industry, an SME, a skilled-trades business, the municipal or government sector, or an emergency services organization: As the Fraunhofer IOSB’s Humanoid Robots Experience Lab (HREL), we offer you low-threshold, hands-on access to humanoid robotics.

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  • Waste4Future: Turning waste into green molecules for chemistry

    Fraunhofer lighthouse project develops holistic approach to plastic recycling

    Keeping carbon in the cycle, and thus avoiding plastic waste and emissions: That is the goal of the “Waste4Future” project. Several Fraunhofer institutes and facilities IMWS, IZFP, IWKS, IOSB, FHR, LBF and IVV are pooling their competences to develop an entropy-based assessment model for carbon-containing waste streams and new technologies for sensing, sorting and mechanical and chemical recycling.

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  • Eur3ka – Manufacturing as a Service for fast pandemic reaction

    Repurposing and networking of available production capacities and capabilities to cope with global production crises

    Manufacturing as a Service – Eur3ka – Network for Fast Pandemic Reaction
    © https://www.eur3ka.eu/

    The aim of the H2020 project is the digital management of production capacities for the development of flexible supply chains between consumers and producers - especially for rapid response to pandemics.

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  • Understanding real traffic - safeguarding automated mobility. The safe introduction of highly and fully automated vehicles depends crucially on how well we can digitally map today's traffic events - especially critical situations. AVEAS develops scalable, data protection-compliant methods for systematically recording and modeling risk-relevant scenarios and transferring them to virtual test environments.

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  • Our extensive experience in vulnerability detection and hardening of industrial control systems flows into a new holistic resilience monitoring approach.

    Cyber resilience is seen as the next step in IT security and focuses primarily on incident response and restoring process capability. Appropriate monitoring of process-carrying automation systems and infrastructures is necessary to achieve cyber resilience.

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  • The bi0SpaCE project is developing an open software framework for creating dynamic digital product passports (DPPs) in the form of digital twins in the Industrie 4.0 standard (Asset Administration Shell, VS) for bio-based products. It promotes secure, sovereign data exchange in international data spaces and supports the creation of efficient solutions in the circular economy to increase the sustainability and competitiveness of European bio-based industries.

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  • OpenCitySense -Intelligent sensor management for smart cities

    Well organized data, security and efficiency for urban sensor networks

    OpenCitySense is an expandable framework for municipalities and operators of urban data platforms. With the OGC standard SensorThingsAPI of the FROST® server for time- and location-related data, sensor landscapes can be set up in a structured manner. OpenCitySense expands the server to include sensor and data monitoring and lifecycle management of sensors, from initial setup to the operational phase and uninstallation.

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  • AutoInspect: Inspection of complex objects – multisensory, modular, continuously digitized

    Technical infrastructure and digital twin for quality inspection and comprehensive evaluation

    © Fraunhofer IOSB

    “AutoInspect” is a system for continuous object assessment (in real time) by multimodal inspection along the production cycle. Both a direct reaction to the results and their long-term observation are possible. The system is supported by a digital quality twin with open I4.0 standards.

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  • GUIDE

    GUIDELines for data protection in scientific research on aspects of human-technology interaction

    GUIDELines for data protection in scientific research on aspects of human-technology interaction.

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  • PCP Wise - water management from outer space

    Innovative approaches to climate resilience

    PCP-WISE is an innovative project developing state-of-the-art solutions (up to TRL 8) for water management and climate resilience in Europe using public procurement (PCP). By leveraging space technology and environmental observation data, PCP-WISE aims to address critical challenges related to floods, fires, and their impacts on infrastructure in rural and urban areas.

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  • The MODAI project aims to develop an on-device AI platform for manufacturing. It will utilize standards-based technology so that interoperability between different systems is ensured. Furthermore, the project promotes the dissemination of intelligent digital twin technologies that strengthen the manufacturing sector internationally.

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  • © Fraunhofer IOSB

    The Industrial Security Testing Framework "ISuTest" is a tool for finding weak points in the implementation of automation components. Discovered weak points can be corrected by the manufacturer and thus reduce the component's vulnerability. In the future, robustness against attacks will be a quality criterion with which manufacturers can distinguish themselves from others.

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  • The "Security Testing Laboratory" project is concerned with protecting and making industrial automation and control systems (IACS) secure as early as the development process so that attackers have no chance of influencing or damaging production processes.

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