A KDT JU project, aiming to develop efficient edge-AI systems that can overcome physical limitations, comply with regulations, enhance European strategic autonomy, and address security concerns associated with IoT and edge devices.
Our MISSION
The mission of REBECCA is to develop efficient and secure edge-AI systems using open CPU architecture, to enhance European strategic autonomy and sovereignty.
Our USE CASES
Real-time defect detection in PV panels on UAVs using computer vision and deep learning algorithms.
AI-powered fridges that recognize food with image recognition using edge-AI capabilities and a custom lightweight detector for real-time processing directly on-board.
High-speed damage inspection and vision in the loop on semiconductor equipment using advanced AI and computer vision algorithms to enhance visual inspection and localization capabilities in pick-and-place equipment.
Water infrastructure inspection using high-precision VSLAM and video processing to control drones, climbers, and wall inspectors, with a prototype.
Meet our CONSORTIUM
REBECCA is powered by a consortium of 24 partners, bringing all the background knowledge needed and documented expertise across all necessary fields.
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ACKNOWLEDGMENT: REBECCA project is supported by the Chips Joint Undertaking and its members, including the top-up funding by National Authorities under grant agreement n° 101097224.
Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the granting authority. Neither the European Union nor the granting authority can be held responsible for them.
© 2023 by REBECCA Consortium
