EFFECTOR aims to enhance maritime surveillance, improve decisions support, and foster collaboration of maritime stakeholders by implementing an Interoperability Framework and associated Data Fusion and Analytics services for Maritime Surveillance and Border Security that will allow faster detection of new events, better informed decision making, achievement of a joint understanding and undertaking of a situation across borders, allowing seamless cooperation between operating authorities and on-site intervention forces ensuring that all existing privacy and data protection rules are fully respected.

Specifically, EFFECTOR will unlock the full capabilities of maritime surveillance systems and data sharing at tactical and strategic level by introducing applied solutions for enhanced border and external security, including the implementation of a multi-layered data lake platform for end-to-end interoperability and data exploitation, the exchange of enhanced situational awareness pictures at different level with CISE and EUROSUR, the adoption of interoperability standards for exploiting data sources and systems currently underutilized in maritime environment and the demonstration of new concepts and tools for knowledge extraction, semantic representation, data fusion, analytics, and federated querying that can scale from local to regional and up to national and transnational level.

Maritime Domain Awareness is the combination of activities, events and threats in the maritime environment that could have impact on marine activities and EU territory. During the past decades, advances in Information and Communication Technologies have provided better means to monitor and analyse vessel activity. Today private and public source of data such the Automatic Identification System or space related data can be combined with Vessel Traffic Services, Vessel Traffic Management Systems and Vessel Traffic Monitoring & Information Systems data enabling the development of value-added information resulted by the combination of such data.

European waters are navigated daily by some 12,000 vessels, which share their positions to avoid collisions, generating a huge number of positional messages every month. It is important that this overabundance of information will not overwhelm the marine operator in charge for decision-making. The challenge is twofold: on one side encourage the exchange of heterogeneous data among administration valorising the CISE network currently in place, on the other exploit at the best these datasets by means of automated processing in a way to minimise false alert that might results by an incorrect processing or interpretation of the results.

PROMENADE will improve solutions for the vessel tracking, behaviour analysis and automatic anomaly detection by means of the application Artificial Intelligence (AI) and Big Data (BD) technologies, and to promote collaborative exchange of information between maritime surveillance authorities, shortening the time to market and assuring the compliance with legal and ethical regulations.

An open, service-based toolkit implementing “state of art” AI / BD techniques also benefiting of HPC (High Performance Computing) platform is the core activity of the project. The project’s developments will be demonstrated and evaluated in 3 operational scenarios and 1 simulated defined by Border Guards Authorities.

BorderUAS a semi-autonomous border surveillance platform combining next generation unmanned aerial vehicles with ultra-high-resolution multi-sensor surveillance payload

Seventeen (17) organizations from eleven (11) European countries joined forces for a project on technologies which enhance border and external security. BorderUAS (GA No 883272) aims for a holistic UAS surveillance approach integrating aerial and ground components using next generation sensors and technologies and developing a consistent platform used for daily border operations and beyond.

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, search & rescue applications and specifically rough terrain detection. The sensor payload will include synthetic aperture radar, laser detection and ranging, shortwave/long-wave infrared and acoustic cameras for direct target detection, as well as optical and hyper-spectral 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 irregular crossing patterns and preferred routes) and advanced audio/video analytics and storage (to provide additional detection capabilities).

The MEDEA is an EU funded project and it aims to:

  • Establish and Operate the MEDEA network.
  • Engage participants in anticipatory governance on emerging security challenges that the Mediterranean and Black Sea regions would face in the coming years.
  • Push for the “co-creation” of security technology and capabilities innovations between practitioners and innovation. Their evaluation and prioritization will be based on a multi-criteria analysis (technology, operational, cost-benefit, etc.) and it will be linked to Human Development, Policy Making and Organizational Improvements in-terms of facilitating their use by the practitioners.
  • Establish and annually update the Mediterranean Security Research and Innovation Agenda (MSRIA), that identifies areas where security research is needed and establishes recommendations for European Security technology investments. It will constitute the common position of the Mediterranean practitioners for future call for proposals from European and National funding mechanisms.

MEDEA network of practitioners

The Mediterranean and Black Sea network of practitioners is made of public security organisations, NGOs, Research, industry and academia representatives and security policy makers. Within the network, there are four communities of practitioners with focus on the following themes:

  • Management of Migration Flows and Asylum seekers
  • Border management and Surveillance
  • Cross border organized crime and terrorism
  • Natural hazards and technological accidents

These Thematic communities of Practitioners will be responsible for fostering and promoting collaboration among their members, focusing on the respective theme areas. MEDEA aspires to contribute to the establishment of safer and more secure societies throughout the Mediterranean and Black Sea region using research and innovation as a catalyst to promote collaboration between practitioners from diverse disciplines and countries.

MELCHIOR is an EU funded Coordination and Support Action project which aims to improve substantially a novel technology for fast detection of drugs, explosives, weapons and illicit goods concealed on individuals and in critical cavities of the human body based on infrasound mechanical impedance interrogation, optionally complemented with other harmless and non-contact technologies. This project aims to drastically increase the safety of the border staff having to touch inspected individuals. Thus, travelers’ experience will improve greatly. Since no contact is needed, individuals do not have to undress and therefore their privacy is respected.

The MELCHIOR solution aims to be used in operational environments including border controls in airports and sea-ports and land borders as well as other environments where the technology would be quite useful like crowded events and prisons.

COURAGEOUS project will develop a standardized test methodology for detection, tracking and identification of nefarious drones’ utilising countermeasure systems to protect the lower airspace. This standardized test methodology will be based upon a series of standard user-defined scenarios representing a wide set of use cases (e.g. prison & airport security, critical infrastructure protection, border security, drugs & human trafficking, etc). For these scenarios, operational needs & functional performance requirements will be extracted by the COURAGEOUS end-users. Using this information, an integral test methodology will be developed that allows for a fair qualitative and quantitative comparison between different counter-UAS systems. This test methodology will be validated during three user-scripted validation trials, in Belgium, Greece and Spain.

The COURAGEOUS standardized test methodology will lead to a much better understanding of the capabilities counter-UAS systems among law enforcement agencies, not only among COURAGEOUS partners, but also within the EU network of law enforcement agencies and even on a global scale, due to the extensive importance accorded in COURAGEOUS towards the widespread-yet-secure dissemination of project results, via partner INTERPOL.

The FLEXI-cross (Flexible and Improved Border-Crossing Experience for Passengers and Authorities) project targets the deployment and continuous validation of a toolkit of innovative border checking solutions in real operational environments. These solutions will deliver increased security and reliability of border checks for people and goods which can be enabled by innovative technologies [5G and Internet of Things (IoT), Artificial Intelligence (AI), Machine Learning (ML), Big Data and Predictive Analytics, Cloud and Edge Computing and more], aiming at enhancing and improving the border management capabilities.

The resulting flexibility and dynamicity of border check planning will offer novel capabilities such as dynamic deployment of checkpoints and support via mobile applications for border personnel, while guaranteeing a high level of security, privacy of personal data and protection of people’s fundamental rights. The design and architecture of the implemented solutions will be based on the analysis of the technical and service requirements of the EU border authorities and will offer seamless integration with existing systems and devices currently utilised by them.