The World Economic Forum suggests that transnational travel will increase by 50% over the next ten years, bringing the number of arrivals to 1.8bn by 2030 before the COVID-19 pandemic. Given the ever-increasing travel both on land and sea, delays and queues are often observed at cases where people are crossing border. These delays create huge frustration for the citizens and at the same time put extra burden to the border authorities’ staff. In Europe, airports have managed to improve to a certain extend the border crossing through the facial recognition booths for European citizens that own an RFID enabled passport, however there are still huge queues observed. For non-European citizens, the situation is even worse. The border control for land and sea are placing all the effort to the border authorities staff requiring from them to check the passports of the travellers as well as to control the luggage and baggage. Reasonably, even without huge number of travellers, large delays and queues are observed. ODYSSEUS will enable citizens to seamlessly cross the border without stopping, while reducing the workload and improving productivity for Border Guard Authorities by providing highly detailed risk analysis. ODYSSEUS will leverage the power of digital technology offering to citizens the appropriate tools to cross land and sea borders in a secure and seamless manner without stopping while equipping the border authorities with novel tools for secure identity verification and unobtrusive vehicle/luggage/cargo checks, eliminating long delays at border areas. The proposed technologies will allow citizens to cross borders without any intervention by just leveraging their smartphones combined with strong and continuous identity verification. Remote vehicle/luggage scanning through X-Rays and UAVs, will allow authorities to remotely perform the appropriate controls.

The project will combine for the first time a multi-role lighter-than-air (LTA) unmanned aerial vehicle (UAV) with an ultra-high resolution multi-sensor surveillance payload supporting border surveillance as well as search & rescue applications, and specifically rough terrain detection. The sensor payload will include synthetic aperture radar (SAR), laser detection and ranging (LADAR), shortwave/longwave infrared (SWIR/LWIR) and acoustic cameras for direct target detection, as well as optical and hyperspectral cameras for indirect detection (via vegetation disturbance). The project will use the ground-based infrastructure of border police units (command & control centres), innovative data models (to identify illegal crossing patterns and preferred routes) and advanced audio/video analytics and storage (to provide additional detection capabilities). The technology concepts will be validated in the field by 6 border police units (Greece, Bulgaria, Romania, Moldova, Ukraine, Belarus) covering 3 major illegal migration routes into Europe (Eastern Mediterranean, Western Balkan and Eastern Borders Routes), which represent 58% of all illegal border crossings detected and are also the most used for smuggling of drugs, weapons and stolen vehicles. The combined solution will provide high coverage, resolution and revisit time with a lower cost (4 EUR/kg/hr) than satellites and higher endurance (100 kg payload for 12 hours) than drones. Based on the field trial results, the consortium expects to develop a solution that can be deployed further by European border polices after project completion. The project will also involve the contribution of NGOs working with illegal migration and human right protection issues, as well as regulatory experts dealing with the ethics and privacy requirements of border surveillance solutions

For the past few years, Europe has experienced some major changes at its surrounding territories and in adjacent countries which provoked serious issues at different levels. The European Community faces a number of challenges both at a political and at a tactical level. Irregular migration flows exerting significant pressure to the relevant authorities and agencies that operate at border territories. Armed conflicts, climate pressure and unpredictable factors occurring at the EU external borders, have increased the number of the reported transnational crimes. Smuggling activity is a major concern for Eastern EU Borders particularly, as monitoring the routes used by smugglers is being hindered by mountainous, densely forested areas and rough lands aside with sea or river areas. Due to the severity and the abrupt emergence of events, the relevant authorities operate for a long-time interval, under harsh conditions, 24 hours a day. NESTOR aims to demonstrate a fully functional next generation holistic border surveillance system providing pre-frontier situational awareness beyond maritime and land border areas following the concept of the European Integrated Border Management. NESTOR long-range and wide area surveillance capabilities for detection, recognition classification and tracking of moving targets (e.g. persons, vessels, vehicles, drones etc.) is based on optical, thermal imaging and Radio Frequency (RF) spectrum analysis technologies fed by an interoperable sensors network including stationary installations and mobile manned or unmanned vehicles (aerial, ground, water, underwater) capable of functioning both as standalone, tethered and in swarms. NESTOR BC3i system will fuse in real-time border surveillance data combined with web and social media information, creating and sharing a pre-frontier intelligent picture to local, regional and national command centers in AR environment being interoperable with CISE and EUROSUR.

RITHMS project intends to boost the operational capacity of Police and Customs/Border Authorities in addressing the increasingly organised and poly-criminal nature of trafficking in cultural goods through research, technological innovation, outreach and training. Illicit trade in cultural heritage has progressed from a local phenomenon limited to the initiative of a few individuals to a highly remunerative source of income for criminal organisations and terrorist groups that have taken advantage of the opportunities offered by the web and social media to further expand an already flourishing market. Against this background, RITHMS proposes an interdisciplinary approach made necessary by the transnational character of this crime and its links to other criminal networks. The project will define a replicable strategy to counter the challenges in addressing the illicit trafficking of stolen/looted cultural goods and to investigate the mechanisms underpinning it, including its connection with organised crime. RITHMS will foster cross-cutting research bringing together all the domains relevant to expand the understanding of this type of crime (art market, criminology, law studies, forensic science, etc.). Inputs from these disciplines will inform the theoretical framework underlying an interoperable AI-based Platform able to identify criminal organised networks and to provide investigators with valuable intelligence on the activities and evolution of such networks. The Platform will be leveraging the methods of Social Network Analysis (SNA), a methodology that gives a way to better understand human behaviour through people's relations and interactions. Including four Police authorities, two Border Agencies, one Police School, SMEs, and researchers from SSH and ICT, RITHMS Consortium is well positioned to offer solutions to counteract more effectively organisations involved in illicit activities against cultural heritage.

Current evidence suggests that the global fight against corruption faces serious challenges: policy decisions are not well informed, the corruption landscape is complex and enormous, while measuring corruption is so far mostly based on subjective approaches, and there is lack of appropriate technological tools to support anti-corruption. To address these challenges, FALCON is designed and dedicated to support the composition, update and management of comprehensive corruption intelligence pictures, within domains and jurisdictions of interest. This will be accomplished following a multi-actor, evidence-based, data-driven approach, building upon existing assets and prior work of consortium partners. FALCON will, first, develop and validate objective and actionable indicators (individual and composite) of corruption that can be used to inform policy decisions. Second, it will design, implement and integrate powerful data analytics tools, data pipelines and applications that support the management of the entire lifecycle of corruption intelligence pictures. This will enable comprehensive corruption risk assessment, informed policy making, and improved anticorruption law enforcement. FALCON will be piloted in four corruption domains – corruption schemes at border crossings, sanction circumvention by kleptocrats/oligarchs, public procurement fraud, conflicts of interest of politically exposed persons (PEPs) – involving law enforcement experts (police authorities and border guards) from six (6) European countries and other key actors (i.e., GovTech providers, academia, financial intermediaries, policy makers, NGOs, and civil society). FALCON’s implementation will be incremental and iterative, forming synergies between SSH and technological expertise, and will adhere to the principles of Trustworthy AI and responsible research and innovation. Lastly, FALCON has defined specific key exploitable results and performance indicators for measuring its progress and success.