The MISEL project aims at low-power bio-inspired standalone vision system with multi-band sensing and in-sensor spatio-temporal neuromorphic processing based on complex events for advanced situation awareness, featuring smaller size, weight and power consumption than what is possible with existing components.

The EU-funded MISEL project will develop a low-power, neuromorphic sensor system with embedded neuromorphic processing to mimic the human visual system from the cellular level up to brain regions and interconnected systems processing. Success will inspire and enable innovation at the edge. https://www.misel-project.eu/

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2021年1月28日 · AMO GmbH is partner of MISEL (Multispectral Intelligent Vision System with Embedded Low-Power Neural Computing), a project that aims at developing a bio-inspired vision system able to implement advanced recognition tasks, but with much smaller size, weight and power consumption than off-the-shelf components.

MISEL consortium will organise a dissemination workshop at the ESSCIRC-ESSDERC 2023 conference in Lisbon. The workshop titled “Technologies, devices, circuits, and algorithms for neuromorphic event-based vision systems” will take place on …

The main objective of the project is to demonstrate the advantages of the MISEL holistic sensing and computing approach against state-of-the-art conventional approaches. This is realized by 1) elaborating, designing, and implementing the MISEL sensing and computing system with multi-band visual sensory front end, 2) identifying application ...

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MISEL aims at bringing artificial intelligence to the edge computing (decisions made on-device) through a low-power bio-inspired vision system with multi-spectral sensing and in sensor spatio-temporal neuromorphic processing based on complex events.

2025年2月11日 · The EU-funded MISEL project will develop a low-power, neuromorphic sensor system with embedded neuromorphic processing to mimic the human visual system from the cellular level up to brain regions and interconnected systems processing. Success will inspire and enable innovation at the edge.

MISEL ist ein hochgradig interdisziplinäres Projekt, an dem neun europäische Forschungsteams mit komplementärem Fachwissen in den Bereichen Computer Vision, Theorie und Algorithmen des maschinellen Lernens, Nano- und Bauelementetechnologien, Schaltungsdesign und Evaluierung von Systemen der künstlichen Intelligenz beteiligt sind.