Projects and products

Our research and development work happens within the framework of projects - these include equally R&D contracts with industrial customers, publicly funded (collaborative) research projects, and pre-competitive research projects funded by Fraunhofer. You can browse through many of these projects below - as well as products, i.e. results of our R&D activities that have reached a high level of technological maturity.

Please note:

  • The most recently updated projects and products are displayed first.
  • You can filter the list by department or business unit assignment as well as by free-text search terms - but for the latter, the spelling must be exact.

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  • GRIZZLY - Event-Based Object Tracking

    Development of Event-Based 3D Tracking for Precise Discharge in Sensor-Based Sorting Systems

    GRIZZLY combines a line scan camera and an event camera to track material flows in real time and discharge them with greater precision.

    more info
  • 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.

    more info
  • InnoTeer: Recycle material from roads sustainably

    Fraunhofer develops recycling process for tar-containing road debris

    In the "InnoTeer" project, the Fraunhofer Institutes IBP, IML, IOSB and UMSICHT are now developing a multistage process to efficiently process tar-containing road debris in decentralized plants, because about 3.3 million tons of tar-containing road debris are produced in Germany every year: Two million tons of it end up in landfills.

    more info
  • RealOrRender

    Detecting deepfake images reliably and transparently

    Generative AI models enable the creation of realistic images with great potential for creative and medical applications. At the same time, they pose risks, such as through their targeted use for disinformation. The RealOrRender project aims to develop methods that can reliably and robustly distinguish AI-generated images from real photographs.

    more info
  • AutoRLTOpt

    Tools and service concepts for the semi-automatic and fully automatic optimization of control loops in large buildings (with a focus on HVAC systems)

    The tools and concepts developed are intended to enable property managers and external service providers to optimize control loops (e.g., flow temperature setpoints) with minimal effort and in line with specific needs, and to immediately monitor the effectiveness of the measures.

    more info
  • Wool, Cotton, Warping Machine, Thread, Bobbin

    The production of high-performance carding assemblies for the textile industry is extremely complex and requires a high degree of precision. The “Machine Learning for Textile Industry” (ML4Tex) project optimizes this process by predicting the quality of the final product during production.

    more info