Autonomous Drone Swarm System for Border Control
The EU faces increasing challenges in monitoring its borders, particularly along vulnerable sections adjoining Russia and Belarus. Traditional surveillance methods struggle with unmonitored “black spots,” limited response times, and escalating security breaches. We aim to enhance detection capabilities, situational awareness, and operational efficiency in border control operations by integrating cutting-edge technologies such as drone swarms, fog computing, and AI analytics.
Objectives
Enhance Detection
Achieve a 100% increase in detection rates of unauthorized crossings.
Improve Situational Awareness
over previously unmonitored areas and reduce security breaches.
Optimize Resource Use
Reduce mobile patrol hours by 100% in areas monitored by Unmanned Aerial Systems (UAS).
Ensure Operational Readiness
Advance project components to TRL 8 with full compliance to EU regulations.
Key Innovations
Multi-Tier Drone System
Deployment of carrier drones that can transport and deploy smaller follower drones, providing flexible and extended coverage.
Fog Computing
Placement of decentralized nodes for real-time data processing and AI analytics, reducing latency, enhancing decision-making, and ensuring system resilience against disruptions.
Mesh Network Technology
Self-healing communication infrastructure enabling robust data transmission even in challenging terrains, with enhanced resilience and immunity to network jamming.
Custom Drone Docks
Automated battery swapping and maintenance systems to maximize operational uptime.
Advanced Sensors and AI
Integration of high-resolution thermal imaging, night vision, and multi-spectral sensors with AI-driven analytics.
Immersive 3D Simulators
High-fidelity virtual environments for personnel training and tactical planning.
Partners
Coordinator
- CloudAtlas (Lithuania)
Key Partners
- LTMilTech (Lithuania)
- State Border Guard Service (Lithuania)
- Latvian State Border Guard (Latvia)
- Universidad de Murcia (Spain)
- FKS (Spain)
