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Edge SpAIce

Financiado

Cerrado

Unleashing AI potential to foster space accessibility and novel Earth Observatio...

Unleashing AI potential to foster space accessibility and novel Earth Observation services creation. "Satellites have become one of most prominent technologies for Earth Observation, progressively attracting large investments from both the private and public sector and potentially becoming the next life-changing trend in world ec... ver más

30/11/2026

AGENIUM SPACE

2M€

Presupuesto del proyecto: 2M€

Líder del proyecto

AGENIUM SPACE No se ha especificado una descripción o un objeto social para esta compañía.

Fecha límite participación Sin fecha límite de participación.

Ver 4 Participantes

Financiación concedida El organismo HORIZON EUROPE notifico la concesión del proyecto el día 2023-11-07

HORIZON-CL4-2023-SPACE-01-11: End-to-end Earth observation system... Expected Outcome:The expected outcomes of this topic will enable flexible satellite Earth-observatio...

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Información adicional privada

No hay información privada compartida para este proyecto. Habla con el coordinador.

4 Participantes

AGENIUM SPACE

990.59K€ | Lider

NATIONAL TECHNICAL UNIVERSIT...

313.17K€ | Participante

International Committee of t...

635.11K€ | Participante

ENDUROSAT AD

514.65K€ | Participante

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Duración del proyecto: 36 meses Fecha Inicio: 2023-11-07
Fecha Fin: 2026-11-30

Líder del proyecto

AGENIUM SPACE No se ha especificado una descripción o un objeto social para esta compañía.

Presupuesto del proyecto 2M€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto "Satellites have become one of most prominent technologies for Earth Observation, progressively attracting large investments from both the private and public sector and potentially becoming the next life-changing trend in world economics. Resulting from technological advancements and gradual reduction in manufacturing and in-orbit deployment costs, data captured drastically increased along, revealing significant impairments in current data management infrastructure to maximise associated added value. With the purpose of achieving a more efficient data management to further approach novel EO applications requiring continuous data flow between capturing and processing, Deep Neural Networks (DNNs) deployment ""at the edge"" has been investigated as valid approach to allow autonomous and reliable data payload and latency reduction while keeping high added value from data captured. However, deployment of accurate DNNs models present several limitations, with the major ones being high computational power and cumbersome architectures. In this project proposal, Edge SpAIce develops an extremely efficient approach to resize complex DNNs while ensuring compatibility requirements for on-board satellites hardware are met. With this scope, Edge SpAIce will further target a challenging demonstration of Edge-AI potential by design and deployment of a DNN for marine plastic litter remote monitoring from in-orbit representative satellite, paving the way towards next generation EO and moving European leadership in the global space market."

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