BES – Multimodal Data Fusion and Analytics Group

CONNECTOR

CONNECTOR CustOms exteNded iNteroperablE Common informaTiOn shaRing environment CONNECTOR aims to support the European Integrated Border Management (EIBM) and the EU Customs Action Plan by emphasising the importance of collaborative efforts among Customs, Border and Coast Guard Authorities in managing borders, especially under current and future challenging circumstances. This objective can be achieved through Customs participation in the Common Information Sharing Environment (CISE) network and Enhanced Common Information Sharing Environment (e-CISE) via the proposed Customs Extended Common Information Sharing Environment (CE-CISE). CONNECTOR proposes an integrated, common, and shared risk assessment approach for all Border Management Authorities. This approach considers pan-EU common risk indicators for each end user group, including Customs, Border and Coast Guards Authorities, as well as FRONTEX. Its aim is to safeguard the external EU border, protect EU…

Nestor

NESTOR NESTOR – aN Enhanced pre-frontier intelligence picture to Safeguard The EurOpean boRders NESTOR aims to demonstrate a fully functional next generation holistic border surveillance system providing pre-frontier situational awareness beyond maritime and land border following the concept of the European Integrated Border Management. NESTOR long-range, wide area surveillance capabilities for detection, recognition classification and tracking of moving targets (e.g. persons, vehicles, drones etc.) is based on optical, thermal imagine and Radio Frequency (RF) spectrum analysis fed by an interoperable long range IP-based network of sensors including stationary installations and mobile manned or unmanned aerial, water surface, underwater and ground vehicles, capable of functioning both as standalone, tethered and in swarms (UAV, USV, UUV and UGV) platforms. NESTOR Border Command Control and Coordination intelligence (BC3i) system using cutting-edge Artificial Intelligence…

ISOLA

ISOLA A system platform that enhances the situational awareness and support Ship’s Security Stakeholders to the execution of their duties referring to the Ship's Security Plan Maritime transport enables trade and contacts between all EU nations and has always been a catalyst for economic development and prosperity of the Union. One of the major concerns of EU policy is to protect the citizens and economies from the consequences of unlawful intentional acts against shipping and port operations. ISOLA will develop, integrate, test, deploy, demonstrate and validate a systematic and fully automated security approach by incorporating innovative technologies for sensing, monitoring, data fusion, alarming and reporting real-time during illegal incidents. This will ensure high level of security among all passengers of the ship and augmentation of the Ship Security Plan. The…

ROBORDER

ROBORDER Autonomous swarm of heterogenous robots for border surveillance Border authorities and Law Enforcement Agencies (LEAs) across Europe face important challenges in how they patrol and protect the borders. Their work becomes more problematic considering the heterogeneity of threats, the wideness of the surveyed area, the adverse weather conditions and the wide range of terrains. Towards delivering a solution including all such factors, the main goal of ROBORDER is to develop and demonstrate a fully-functional autonomous border surveillance system with unmanned mobile robots including aerial, water surface, underwater and ground vehicles which will incorporate multimodal sensors as part of an interoperable network. Our intention is to implement a heterogenous robot system and enhance it with detection capabilities for early identification of criminal activities at border and coastal areas along with…

ARESIBO

ARESIBO Augmented Reality Enriched Situation Awareness for Border Security ARESIBO aims at improving the efficiency of the border surveillance systems by providing the operational teams and the tactical command and control level with an accurate and comprehensive information. The pillars of research in ARESIBO are three-fold: (i). Set-up a complete configuration at tactical and execution level to optimize the collaboration between human and sensors (fixed and mobile), (ii) Improve situation awareness by enhancing the understanding of the situation through adapted processing of sensor data, correlation between heterogeneous data and information and creation of knowledge through deep learning techniques and (iii) Create a situation awareness capability at C2 level that will combine reports on previous missions, real time situation understanding and threat analysis for future actions. This capability will be used…