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

ISOLA project combines state-of-the-art technologies blended with novel solutions to enhance the Situational Awareness and support the assigned Ship Security Officer & Crew to the execution of their duties especially to the Ship Security Plan. The suggested system is contextually aligned and harmonised with the existing regulations. Constraints to integration will also be looked at with attention given to key architecture framework criteria: standardisation, interoperability, openness, flexibility, adaptability, ability to evolve, scalability, modularity, simplicity, usability, robustness, information management, decision support and mission effectiveness, and legacy integration. ISOLA develops, integrates, tests, deploys, demonstrates and validates 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 the passengers of the ship and augmentation of the Ship Security Plan. The main objectives of ISOLA are: (i) to create strategies and methods in order to a ship to easily integrated solutions regarding passengers and crew safety in the existing ship systems; (ii) to propose innovative sensor and visual technologies to support security safety; (iii) to create a complex collaborative system for monitoring and detecting security incidents and events; (iv) to create early warning methods for the ship security crew to prevent security issues; (v) to collect incident evidences by exploiting the Augmented Reality; (vi) to allow easy engagement of different authorities in a ship related crisis; (vii) to model, classify and easily report a security event.

METICOS aims to introduce Big Data Analysis of border control information systems, in order to provide a step-change towards more modern and efficient Smart Border management and towards gaining societal and political acceptance of modern control technologies of EU borders such as “no gate solutions”. It is therefore positioned as an initiative to create a real-time decision-support system with regard to different Smart Border control technologies that empowers two major stakeholder groups within the European border control sector (i.e., travellers and border control authorities & service providers) to ensure user acceptance, secure positive societal impact and maximize border control process efficiency. To this end, the METICOS project will develop a platform that integrates information systems and networks of data sources in order to validate the efficiency and users acceptance of border control technologies. The proposed platform will provide metrics and KPIs to authorities and decision makers, based on a number of independent variables: performance expectancy, effort expectancy, facilitating conditions, physical privacy, accuracy, information privacy, ethical and societal perceptions. To maximize impact of the project, METICOS will join the European Initiative for Smart Borders and contribute aforementioned cross-border and cross-cultural Big Data Analysis and decision support systems that feature harvesting of multi-lingual and cross-sectorial data from heterogeneous sources, different analytics approaches and risk assessment methods. METICOS will be demonstrated and validated under real operating conditions. This will involve two pilot implementations executed at five different countries involving real travellers and staff. Furthermore, the METICOS ecosystem aims to work closely with border control research initiatives to demonstrate its operational performance improvements by means of combined validation with these 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.