Lithuanian border guard service providing real-world operational validation for EU border surveillance, maritime awareness, and AI-driven security technologies.
Lithuania's State Border Guard Service is the national authority responsible for protecting and managing Lithuania's borders, which include EU external borders with Belarus and Russia (Kaliningrad). In H2020 projects, they serve as an operational end-user — testing and validating border security technologies in real-world conditions. Their contribution spans document fraud detection, maritime surveillance, CBRN emergency response, and AI-powered border intelligence systems, providing the frontline operational perspective that technology developers need to build tools that actually work at the border.
FOLDOUT (through-foliage detection), NESTOR (wide-area surveillance, RF localisation, unmanned vehicles), and D4FLY (document fraud detection on-the-move) all address core border monitoring.
PROMENADE applies AI, big data, and HPC to maritime surveillance, while NESTOR uses behaviour analysis and anomaly detection for pre-frontier intelligence.
INCLUDING project focused on building federated CBRN emergency response capabilities with training and demonstrations.
D4FLY developed on-the-move lightfield document verification systems for border checkpoints.
PROMENADE and NESTOR both deploy AI, behaviour analysis, anomaly detection, and classification for threat identification — representing a shift toward data-driven border security.
Their early projects (2018–2019) focused on physical detection challenges — spotting people through foliage, handling CBRN incidents, and verifying documents at checkpoints. By 2021, their participation shifted decisively toward AI-powered intelligence systems: maritime awareness using big data and HPC (PROMENADE), and pre-frontier intelligence pictures combining wide-area surveillance with behavioural analytics (NESTOR). The trajectory is clear — from sensor-level detection toward integrated, AI-driven situational awareness.
Moving rapidly toward AI and big data integration for predictive border security, making them a strong end-user partner for any project combining surveillance technology with machine learning.
They participate exclusively as a partner, never coordinating — their role is the operational end-user who validates technology in real border conditions. With 80 unique partners across 22 countries from just 5 projects, they join large, diverse consortia (averaging 16+ partners per project). This breadth signals they are well-connected in the EU security research community and comfortable working with varied international teams.
Remarkably broad network for a national agency: 80 partners across 22 countries from only 5 projects, indicating participation in major EU-wide security consortia. Their reach spans most of Europe, connecting them to both technology developers and fellow border agencies.
As an EU external border authority (Lithuania borders Belarus and Russia's Kaliningrad exclave), they offer something most Western European partners cannot: direct operational experience on high-pressure EU external borders. They are not a technology developer but a critical validation partner — any border security technology tested and endorsed by an actual border guard service carries far more weight than lab results alone. Their consistent participation across surveillance, maritime, document, and CBRN projects makes them one of the more versatile end-user organizations in the security pillar.
