The overall scope of TRESSPASS is to modernize the way the security checks at border crossing points (BCPs) are held out. TRESSPASS imports the idea of “Risk-based” security checks and proposes an analytic framework for modelling risk as well as a systematic approach of quantifying risk, based on a set of indicators that can accurately be measured across all four tiers of the Integrated Border Management. Once these indicators are accurately estimated from available data collected from background information, sensors and applications, the risk for each traveller is reliably calculated, based on the four-tier risk management approach introduced in TRESSPASS.
PROTECT's primary goal is to build an advanced biometric-based person identification system that works robustly across a range of border crossing types and that has strong user-centric features. PROTECT aims to research and prototype additional biometric modalities and methods of their application for the benefit of European border control and the industry that supports it, whilst considering the impact upon legislation, citizens' and residents' rights and freedom to travel and the welcome the EU offers to third-country nationals.
iBorderCtrl is an EU project that aims to enable faster and thorough border control for third-country nationals crossing the land borders of EU Member States, with technologies that adopt the future development of the Schengen Border Management. iBorderCtrl includes software and hardware technologies ranging from portable readers and scanners, various emerging and novel subsystems for automatic controls, highly reliable wireless networking for mobile controls, and secure backend storage and processing. One of the main goals of the project is to design and implement a comprehensive system that adopts mobility concepts and consists of a two-stage-procedure, designed to reduce cost and time spent per traveller at the border crossing station. iBorderCtrl also focuses on the land border crossing points: road, walkway, train stations. It addresses the better facilitation of thorough checking required for third-country nationals that intend to cross EU borders.
BODEGA’s aim is to develop future border checks with human factors expertise in order to enhance efficiency, border security and traveller satisfaction. The project focuses on the changes to traveller processes and border controller work due to the introduction of smarter border control systems like automated gates and self-service systems based on biometrics. The traveller is one important actor in the entire process and thus also the traveller’s role needs to be carefully considered in the development and implementation of future technologies.
ABC4EU stands for Automated Border Control Gates for Europe. It is an EU wide project and involves a Consortium of 14 partners from 7 different countries. The aim is to make border control more flexible by enhancing the workflow and harmonizing the functionalities of Automated Border Control (ABC) gates, which are only one example of automation. The project started in January 2014 and lasted for 4 years.
C-BORD develops five technology pillars to enable next-generation container NII at EU sea and land borders. Proof of capability will be shown through live field trials in three use cases under real conditions at different border control points. A C-BORD Toolbox and Framework will help customs analyse needs for container NII, design integrated NII solutions, optimise the interdiction chain, and provide a systemic response to key functional, practical, logistical, safety and financial questions to support deployment.
ARIES aims to set up a reliable identity ecosystem combining mature technologies for a high level of assurance, such as biometrics or use of secure elements, with innovative credential derivation mechanisms. ARIES advocates management practices that ensure user-centricity and flexibility when it comes to secure and privacy-respecting virtual identity management processes. The project will help to tangibly achieve a reduction in levels of identity fraud, theft, and associated crimes.
VICTORIA is a 3-year EU-funded project launched on 1st May 2017 which will deliver an ethical and legally compliant video analysis platform that will accelerate the video analysis tasks of Law Enforcement Agencies. To do so, the project will develop 6 operational scenarios representative for the majority of legal investigations in terms of environment and events/ persons/objects to be detected. The video analytics to be developed will be selected according to these scenarios, to be able to detect all targets defined in the operational scenarios. Lastly, a set of real and synthetic videos with ground truth data will be produced according to the operational scenarios to serve as a reference for the developments and tests.