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PROMENADE

Financiado

Cerrado

imPROved Maritime awarENess by means of AI and BD mEthods

Maritime Domain Awareness is the combination of activities, events and threats in the maritime environment that could have impact on marine activities and EU territory. During the past decades, advances in Information and Communic... ver más

31/03/2023

Blue Planet Shippi...

6M€

Presupuesto del proyecto: 6M€

Líder del proyecto

Blue Planet Shipping Ltd. No se ha especificado una descripción o un objeto social para esta compañía.

Fecha límite participación Sin fecha límite de participación.

Ver 15 Participantes

Financiación concedida El organismo H2020 notifico la concesión del proyecto el día 2023-03-31

SU-BES03-2018-2019-2020: Demonstration of applied solutions...

I+D

Cerrada hace 6 años

0% 82% 100%

Información adicional privada

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

15 Participantes

Blue Planet Shipping Ltd.

401.25K€ | Lider

MINISTERE DES ARMEES

131.25K€ | Participante

CENTER FORSECURITY STUDIES C...

492.19K€ | Participante

BPTI

255.96K€ | Participante

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Duración del proyecto: 23 meses Fecha Inicio: 2021-04-26
Fecha Fin: 2023-03-31

Líder del proyecto

Blue Planet Shipping Ltd. No se ha especificado una descripción o un objeto social para esta compañía.

Presupuesto del proyecto 6M€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto Maritime Domain Awareness is the combination of activities, events and threats in the maritime environment that could have impact on marine activities and EU territory. During the past decades, advances in Information and Communication Technologies have provided better means to monitor and analyse vessel activity. Today private and public source of data such the Automatic Identification System or space related data can be combined with Vessel Traffic Services, Vessel Traffic Management Systems and Vessel Traffic Monitoring & Information Systems data enabling the development of value added information resulted by the combination of such data. European waters are navigated daily by some 12,000 vessels, which share their positions to avoid collisions, generating a huge number of positional messages every month. It is important that this overabundance of information will not overwhelm the marine operator in charge for decision-making. The challenge is twofold: on one side encourage the exchange of heterogeneous data among administration valorising the CISE network currently in place, on the other exploit at the best these datasets by means of automated processing in a way to minimise false alert that might results by an incorrect processing or interpretation of the results. PROMENADE will improve solutions for the vessel tracking, behaviour analysis and automatic anomaly detection by means of the application Artificial Intelligence (AI) and Big Data (BD) technologies, and to promote collaborative exchange of information between maritime surveillance authorities, shortening the time to market and assuring the compliance with legal and ethical regulations. An open, service-based toolkit implementing state of art AI / BD techniques also benefiting of HPC (High Performance Computing) platform is the core activity of the project. The project’s developments will be demonstrated and evaluated in 3 operational scenarios and 1 simulated defined by Border Guards Authorities.

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