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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  • © Fraunhofer IOSB

    For the “Intelligent Video Surveillance“ project, Fraunhofer IOSB's VID department is developing a system that can detect possible crimes based on movement patterns and alert police officers in the command and situation center. Facial recognition is not part of the solution approach.

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  • The networked maritime surveillance and reconnaissance mission of the future is the focus of the European joint research project OCEAN2020. The goal is to generate a comprehensive maritime situation picture based on established as well as new technologies. Fraunhofer IOSB is contributing its expertise in the field of underwater drones and maritime situation analysis.

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  • The dynOpt energy manager is primarily intended for commercial properties such as apartment buildings and neighbourhoods where several components such as heat pumps, PV systems, solar heating systems, gas boilers or CHP units are operated in a coupled manner. Furthermore, dynOpt-En monitors energy consumption and costs and compares the real values with the expected values. In this way, malfunctions can be detected promptly and signalled via a clear visualisation or reported to the operator.

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  • The W-Net 4.0 project aims to develop a modular and scalable platform that combines GIS system, simulation software and data analysis tools and meets high IT security standards. Combined with novel service concepts, value-added networks and training concepts, small and medium-sized water supply companies will be enabled to use these technologies for the first time. For large utilities, novel and easy-to-use data analysis and optimization tools as well as corresponding service concepts will be made available.

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  • As part of the project, a software suite tailored to the production environment was developed to support a wide range of process and product optimisation tasks, e.g. performance and condition monitoring, quality optimisation, product development, variant management, trial planning and updating of master data.

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  • The global objective of the ML4Heat project is the development of methods and software tools for the optimization of the operation of existing district heating networks under energetic and economic aspects. For this purpose, sensor and operating data of the district heating transfer stations as well as the heat supply shall be collected to a large extent and evaluated by means of machine learning methods.

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  • When operating heating, ventilation and air-conditioning systems in existing commercial buildings, it is often found that both the heat and cold supply and the individual room controls are very conservatively parameterised and the rooms are not heated or cooled according to demand. Permanent monitoring and optimisation by specialised personnel is usually not profitable. Consistent and cost-effective solutions for existing buildings are not available in the desired form. The project therefore aims to realise an integrated value chain for efficient monitoring and optimised operational management of properties from the building stock with low-investment measures.

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  • © Fraunhofer IOSB

    Within the E-MonAut project, measures for the optimization of the operational management are investigated and evaluated. These measures are expected to make a comparatively large contribution to the reduction of the final energy demand with a relatively low investment volume while at the same time actively protecting the building fabric (e.g. prevention of mold growth) and considering the individual user needs (comfort and economic criteria, information requirements).

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