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MISEL

Financiado

MULTISPECTRAL INTELLIGENT VISION SYSTEM WITH EMBEDDED LOW POWER NEURAL COMPUTING

"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 base... ver más

30/06/2025

VTT

5M€

Presupuesto del proyecto: 5M€

Líder del proyecto

TEKNOLOGIAN TUTKIMUSKESKUS VTT OY No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Ver 10 Participantes

Financiación concedida El organismo H2020 notifico la concesión del proyecto el día 2020-12-01

FETPROACT-09-2020: Neuromorphic computing technologies...

I+D

Cerrada hace 4 años

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10 Participantes

VTT

1.43M€ | Lider

BOSSAR

715.45K€ | Participante

BUW

203.19K€ | Participante

LNE

420.99K€ | Participante

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Duración del proyecto: 54 meses Fecha Inicio: 2020-12-01
Fecha Fin: 2025-06-30

Líder del proyecto

TEKNOLOGIAN TUTKIMUSKESKUS VTT OY No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 5M€

Descripción del proyecto "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. The science-to-technology breakthrough is the heterogeneous integration of a neuromorphic computing scheme featuring three different abstraction levels (cellular, cerebellar and cortex processors) with high-density memory arrays and adaptive photodetector technology for fast operation and energy efficiency. The context-aware, low power and distributed computation paradigm supported by MISEL is promising alternative to the current approach relying on massive-data transfers and large computational resources, e.g., workstations or cloud servers. This answers to the challenges and related scope presented in the Work Programme towards ""more complex, brain mimicking low power systems"" ""exploiting a wider range of biological principles from the hardware level up"" by introducing the human eye like adaptivity with cellular processor and the data fusion, learning, reasoning, and conscious decisions performed by the cortex. The stand-alone system fabricated in MISEL will be tested on timely and challenging applications such as distinguishing birds from drones through their spatio-temporal flying signature, and scene anomaly detection from a mobile platform. From the technology development and industrialization point of view, MISEL includes the whole value chain: materials research for back-end of line (BEOL) processing-compatible densely-packed ferroelectric non-volatile memories (FeRAMs) and intensity adaptive photodetectors, novel neuromorphic computing algorithms and circuit implementations, and system level benchmarking. This is all in line with the challenge and scope of ""outperforming conventional SoA with relevant metric"" and benchmarking ""challenging end-to-end scenarios of use"" for industrial adaptation. "

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