Security enhancement through heterogeneous data fusion and improved AI/ML-powered Copernicus maritime and border surveillance services

Projektinformationen

AI4COPSEC

ID Finanzhilfevereinbarung: 101190021

DOI

10.3030/101190021

EK-Unterschriftsdatum 6 November 2024

Startdatum 1 Dezember 2024

Enddatum 30 November 2027

Finanziert unter

• Digital, Industry and Space

Gesamtkosten

Keine Daten

EU-Beitrag

€ 4 044 012,95

Koordiniert durch

SIMULA RESEARCH LABORATORY AS
Norway

Periodic Reporting for period 1 - AI4COPSEC (Security enhancement through heterogeneous data fusion and improved AI/ML-powered Copernicus maritime and border surveillance services)

Berichtszeitraum: 2024-12-01 bis 2025-11-30

Zusammenfassung vom Kontext und den Gesamtzielen des Projekts

The Copernicus Security Service (CSS) is instrumental to support the European Union’s security, safety, law
enforcement, and international commitments with the European Commission advocating for its advancement. The AI4COPSEC project aims to demonstrate the potential of advanced ML and GeoAI models to provide relevant intelligence for enhancing existing Copernicus products and services such as oil spill response, illegal fishing alert and create new services intended to support Search-and–Rescue operations and irregular migration detection.

The project will enhance CSS services through the usage of self-supervised deep learning models, geomatics and social media data (OSINT) extracted from heterogenous multi-sources data. AI4COPSEC is expected to have a transformative effect on the operational capabilities of EU security, surveillance and safety by leveraging advances to enhance the timeliness, accuracy, and relevance of information derived from EO and non-EO data sources, including the innovative use of thermal imagery for ship detection, the combination of satellite automatic identification system (AIS) data with structured data extracted from social media sources and the usage of in-situ environmental measurement derived from AIS data and IoT devices.

This integration will lead to more effective and efficient security operations, environmental monitoring, and disaster response. AI4COPSEC is also set to detect anomalies and threat in the maritime traffic and advance ship detection capabilities, utilising high-resolution optical images and advanced segmentation algorithms to enhance the detection of small vessels independently of the type of material (metallic structures, wood, rubber...) a critical factor for a comprehensive maritime surveillance in line with the CSS and the EU's maritime security strategy (EUMSS).

Arbeit, die ab Beginn des Projekts bis zum Ende des durch den Bericht erfassten Berichtszeitraums geleistet wurde, und die wichtigsten bis dahin erzielten Ergebnisse

The first year has been dedicated to set up project managing rules (D1.1) and data management (D1.2) for the project, to specify the reference terminology of the project, to identify technical data platform and data sources, to specify the technological bricks (via input and output interfaces and respective functional requirements), to identify the targeted CSS enhancements and describe the four AI4COPSEC Use Case precise scenarios. Data platforms and data sources including Earth Observation (EO) and non-EO data sources are described in the AI4COPSEC Copernicus Security Services (CSS) Reference Framework (D4.1). The project partners identified planned AI4COPSEC’s communication and exploitation activities, as well as market and stakeholder analysis (D8.1 and D8.2).

Fortschritte, die über den aktuellen Stand der Technik hinausgehen und voraussichtliche potenzielle Auswirkungen (einschließlich der bis dato erzielten sozioökonomischen Auswirkungen und weiter gefassten gesellschaftlichen Auswirkungen des Projekts)

The research activities of the project have already led to two open-access publications.