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BorderUAS

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Semi autonomous border surveillance platform combining next generation unmanned...

Semi autonomous border surveillance platform combining next generation unmanned aerial vehicles with ultra high resolution multi sensor surveillance payload The project will combine for the first time a multi-role lighter-than-air (LTA) unmanned aerial vehicle (UAV) with an ultra-high resolution multi-sensor surveillance payload supporting border surveillance as well as search & rescu... ver más

31/05/2024

TAT

7M€

Presupuesto del proyecto: 7M€

Líder del proyecto

TARGET ACTIVE TRAINING No se ha especificado una descripción o un objeto social para esta compañía.

Fecha límite participación Sin fecha límite de participación.

Ver 19 Participantes

Financiación concedida El organismo H2020 notifico la concesión del proyecto el día 2024-05-31

SU-BES02-2018-2019-2020: Technologies to enhance border and...

I+D

Cerrada hace 6 años

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Información adicional privada

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

19 Participantes

TAT

689.07K€ | Lider

National Gallery of Athens -...

247.50K€ | Participante

MITLA

138.28K€ | Participante

ADMINISTRATION OF THE STATE...

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Duración del proyecto: 49 meses Fecha Inicio: 2020-04-30
Fecha Fin: 2024-05-31

Líder del proyecto

TARGET ACTIVE TRAINING No se ha especificado una descripción o un objeto social para esta compañía.

Presupuesto del proyecto 7M€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto The project will combine for the first time a multi-role lighter-than-air (LTA) unmanned aerial vehicle (UAV) with an ultra-high resolution multi-sensor surveillance payload supporting border surveillance as well as search & rescue applications, and specifically rough terrain detection. The sensor payload will include synthetic aperture radar (SAR), laser detection and ranging (LADAR), shortwave/longwave infrared (SWIR/LWIR) and acoustic cameras for direct target detection, as well as optical and hyperspectral cameras for indirect detection (via vegetation disturbance). The project will use the ground-based infrastructure of border police units (command & control centres), innovative data models (to identify illegal crossing patterns and preferred routes) and advanced audio/video analytics and storage (to provide additional detection capabilities). The technology concepts will be validated in the field by 6 border police units (Greece, Bulgaria, Romania, Moldova, Ukraine, Belarus) covering 3 major illegal migration routes into Europe (Eastern Mediterranean, Western Balkan and Eastern Borders Routes), which represent 58% of all illegal border crossings detected and are also the most used for smuggling of drugs, weapons and stolen vehicles. The combined solution will provide high coverage, resolution and revisit time with a lower cost (4 EUR/kg/hr) than satellites and higher endurance (100 kg payload for 12 hours) than drones. Based on the field trial results, the consortium expects to develop a solution that can be deployed further by European border polices after project completion. The project will also involve the contribution of NGOs working with illegal migration and human right protection issues, as well as regulatory experts dealing with the ethics and privacy requirements of border surveillance solutions

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