A 2-stage-procedure solution that uses modern software and hardware technologies in order to enable fast and reliable border crossing of travellers. ED is the project coordinator and the integrator of the proposed solution.
ED has also undertaken the development of a Document Authenticity Analytics tool, which performs straightforward verification of travel documents, building on top of existing systems (FADO), as well as for a Risk-Based Analytics tool, which utilizes state of the art risk based approaches to intelligently fuse all data collected and risk estimated to classify travelers.
iBorderCtrl project has been successfully completed!
SMARTRES project will allow benchmarking the best-practice solutions and identifying the early warnings, improving resilience of Smart Critical Infrastructures against new threats. ED has been involved in the software design of a tool for assessing the resilience of Smart Critical Infrastructures, based on indicators. ED also acts as the Dissemination and Exploitation Leader of the project
TRESSPASS project includes air, maritime and land border crossing points, and also travel routes that combine different modalities.
Its aim is to develop a single cohesive risk-based border management concept, enhanced with red teaming actions and simulations, demonstrated in three pilots.
ED will undertake the implementation the Dynamic Risk Assessment System module of the system which will act as an “automated decision-maker” on the data extracted during the TRESSPASS procedure, and for the integration of the overall solution.
FOLDOUT focus is on detecting and tracking activity in foliated areas, in the inner and outermost regions of the EU and aims to build a system that combines various sensors and technologies and intelligently fuses these into an effective and robust intelligent detection platform. ED will participate in the System architecture design, will be responsible on the integration activities, delivering the C2 functionalities to facilitate an effective performance and decision-making of end-users.
BiDaCus project aims to develop a cohesive and dynamic risk assessment tool for accelerated detection of customs frauds and anomalies, based on advanced AI techniques. ED will undertake the implementation of the system, which will boost the operation and the awareness of custom authorities and finally for the integration and the evaluation of the system using data from a real custom
