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imPROved Maritime awarENess by means of AI and BD mEthods

Project description

AI and Big Data for improved marine awareness

Marine domain awareness consists of the combination of activities, events and threats that could impact marine activities and the EU territory. The combination of private and public sources of data like the Automatic Identification System or space-related data together with Vessel Traffic Services, Vessel Traffic Management Systems, and Vessel Traffic Monitoring & Information Systems data encourages the development of advanced solutions. The EU-funded PROMENADE project will apply AI and Big Data technologies to improve vessel tracking, behaviour analysis and automatic anomaly detection solutions and promote collaborative exchange of information between surveillance authorities. The project will deliver an open, service-based toolkit with a high-performance computer platform.

Objective

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.

Call for proposal

H2020-SU-SEC-2018-2019-2020

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Sub call

H2020-SU-SEC-2020

Coordinator

MINISTRY OF MARITIME AFFAIRS AND INSULAR POLICY
Net EU contribution
€ 401 250,00
Address
AKTI VASILEIADI, GATE E1-E2
185 10 Piraeus
Greece

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Region
Αττική Aττική Πειραιάς
Activity type
Public bodies (excluding Research Organisations and Secondary or Higher Education Establishments)
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Total cost
€ 401 250,00

Participants (15)