https://www.youtube.com/watch?v=p9PAWRiz0cs&t

Boosting EU Copernicus Security and Maritime
Monitoring with AI and Machine Learning (ML)

10

Partners

7

Countries involved

36

Months duration

4

€ Million Budget

AI4COPSEC represents a cutting-edge approach to maritime surveillance and security through advanced AI technologies.

AI4COPSEC is an innovative Horizon Europe research project focused on enhancing maritime and border surveillance through advanced artificial intelligence technologies.
The project aims to demonstrate the potential of machine learning and GeoAI models to improve existing Copernicus services.

AI4COPSEC integrates state-of-the-art AI solutions with Copernicus satellite data to address urgent environmental and security challenges. With a focus on self-supervised deep learning models, geomatics, and social media data, AI4COPSEC seeks to revolutionize maritime surveillance and environmental crisis response through cutting-edge technological innovations.

Main Objectives

01

Integrating Multiple Data Sources

Analyse and integrate multiple space and non-space data sources (EO, AIS, OSINT, IoT) to provide high-quality environmental and security information.

02

Advancing AI/ML Models

Develop and test advanced self-supervised AI/ML models (Geomatics/GeoAI, deep learning) for anomaly detection and faster decision-making.

03

Enhancing Maritime & Border Surveillance

Develop modular technological solutions (REA, SOD, SHI, EVD, AAD, DAN) for enhanced maritime and border surveillance.

04

CSS Near Real-Time Intelligence

Demonstrate AI4COPSEC solutions in the operational Copernicus Security Service (CSS) environment, focusing on near real-time event detection and localisation.

Use Cases

AI4COPSEC is developing four ambitious use cases to demonstrate
the potential of the project’s CSS enhancements in real-world operational scenarios:

Search and Rescue

Supporting Search and Rescue (SaR) entities and operations, by developing a rapid alert system, optimised drift modelling, and advanced ship detection/identification.

Oil Spill

Addressing the challenges posed by oil spills at EU level, by developing a rapid alert and response system, optimised oil spill drift modelling, and advanced pollution detection.

Irregular Migration

Supporting border and maritime authorities, by developing a rapid alert and detection system for pre-defined suspicious activities at sea, along with accurate predictions of the most likely maritime routes followed by irregular vessels.

Illegal Fishing

Addressing the challenges posed by Illegal, Unreported, and Unregulated (IUU) fishing at EU level, by developing a rapid detection system for small-scale fishing in restricted zones, advanced AIS shutdown detection, and rapid ship & event alerts.

Consortium

AI4COPSEC is coordinated by Simula Research Laboratory and eOdyn (technical coordinator) and supported by an interdisciplinary consortium of ten partners from these seven European countries. Each partner brings specific expertise in the field of maritime surveillance, intelligence and artificial intelligence technologies.