WebApr 5, 2024 · Researchers at Fraunhofer IPK are pursuing this goal as part of the EIBA project, which is funded by the German Federal Ministry of Education and Research (BMBF). The project partners are Circular Economy Solutions GmbH, Technische Universität Berlin and the National Academy of Science and Engineering acatech. WebThe proposed project comprises two main building elements: a 10-story, 125-unit, 100% affordable apartment tower and an approximately 300,000 sf, 12-story, lab/office building. …
Turning old into new: A second life for vehicle components
WebThe Plug-and-Play (PnP) EIBA BAS Ethernet Switches provide the functionality, mounting convenience, and ruggedness to fit most building automation systems. The popular EIBA5-100T Ethernet switch, which is designed for panel mounting is complemented by its DIN-rail cousin, the EIBA5-100T/R. Utilizing switching technology, the compact and low ... WebEstupenda iniciativa. Lo cierto es que queda aún mucho para lograr cerrar la brecha de género en España, y también en la UE, en ciencia, tecnología e… express storage redlanfs
Making vehicle components live a second-life - Innovation Origins
WebApr 1, 2024 · In the EIBA project, the Fraunhofer Institute for Production Systems and Design Technology IPK is developing an AI-based assistance system for semi-automated image-based identification of used parts without QR or bar codes. This will assist the worker with the sorting process so that more used components can be sent for remanufacturing. WebOne example is the EIBA pilot project. Remanufacturing, i.e., reprocessing used (industrial) products, is an important part of the circular economy. Industrial products returned from the market must be reliably identified and evaluated. The EIBA project developed an AI-based system that identifies and evaluates end-of-life parts, but so far ... WebPrototype workstation with sensor equipment in EIBA project With this setting, data-availability will be enhanced to generate further training-data to improve the AI’s capabilities and to adapt better to „real life” condi-tions. An additional challenge is the efficient integra-tion of the sensors and AI in the working process. For buccaneer odds