Imagine a giant, invisible safety net over the ocean that connects satellites, drones, and underwater robots. Instead of each tool working alone, they all talk to each other and use smart AI to spot weird activity automatically. It is like giving border guards a single, crystal-clear map of everything happening above and below the water in real-time.
Maritime border security is currently fragmented, with space, air, and sea data living in separate silos. This makes it difficult for agencies to spot threats like illegal migration or terrorism in real-time across different borders.
An interoperable data exchange system and AI-driven monitoring tool that fuses data from satellites, drones, and underwater vehicles into one picture.
If you are a border control agency dealing with irregular migration and illicit activities — this project developed a layered surveillance network that integrates space, air, and underwater data to improve operational efficiency. It allows for better cross-border collaboration across 7 countries.
If you are a manufacturer dealing with fragmented control of drones and underwater robots — this project developed intelligent mission management for unmanned systems. This enables your hardware to work within a shared monitoring picture using AI and Large Language Models.
If you are a port operator dealing with the protection of critical maritime infrastructure — this project developed anomaly detection and multi-modal data fusion. This helps identify threats to underwater cables or piers using Flash LiDAR and SAR imagery.
Based on available project data, no pricing or cost information is provided as this is an EU-funded research initiative.
Yes, the project includes a Full Scale Demonstration in Spain and Small Scale Tests in Italy and Lithuania to validate the system with real assets.
Based on available project data, specific licensing terms are not listed, though it involves a consortium of 17 partners including 10 industry players.
The system is designed to support the interoperability of legacy surveillance systems and demonstrates data exchange with CISE.
The project runs from 2025-10-01 to 2028-09-30, with validation activities planned throughout this period.
The project is heavily industry-driven with a 59% industry ratio, comprising 10 companies (including 5 SMEs) and 4 research organizations. This strong commercial presence, spanning 7 countries, suggests the output is designed for market adoption rather than pure academic study.
Contact EREVNITIKO PANEPISTIMIAKO INSTITUTO SYSTIMATON EPIKOINONION KAI YPOLOGISTON in Greece
Contact us to connect with the CROSSMARE consortium for early adoption opportunities.
