iBorder Ctrl

The iBoerder Ctrl focuses on enhancing operational conditions at the border crossing stations in terms of efficiency and accuracy, user-friendly human empowerment and high reliability. iBorder Ctrl combines a pre-arrival control for reducing the time spend at the actual border control, and a portable control unit that consists of a number of programs that facilitate and accelerate the border control procedure. In particular, the novel applications are expected to enable efficient and reliable identity checks through the application of biometric technology, the ability to automatically and rapidly detect document forgeries and elevate the process and security to new levels, by calculating a cumulative risk factor for each specific traveler.

Stremble is leading the integration of the iBorder Ctrl and is also developing the intelligent Border Control Analytics Tool (BCAT). BCAT will utilize advanced computational intelligence based approaches in order to evaluate the performance of Intelligent portable control systems discovering key patterns in the data that will help quickly identify false accepts or false rejects of travelers based on the data collected in the Pilot study.

BCAT will use state of the art machine learning and statistical approaches on the outcomes of each iBorder Ctrl once the border control procedure is completed and the decision on how to process the traveller is finalized. This will enable achieving the following goals:

1. Evaluate the performance of each iBorder Ctrl and its effectiveness to the human border control agent independently and when used in collaboration with other iBorder Ctrl
2. Discover key patterns in the data associated with either false accept or false rejects of travelers, which can be used for better decision making at border control.

It leverages software and hardware technologies ranging from portable readers/scanners, various emerging and novel subsystems for automatic controls, wireless networking for mobile controls, and secure backend storage and processing. The two-stage procedure includes: (A) the registration before the travel to gather initial personal, travel document and vehicle data, perform a short, automated, non-invasive interview with an avatar, subject to lie detection and link the traveller to any pre-existing authority data. Utilizing multifactor analytics and riskbased approach, the data registered is processed and correlated with publicly open data or external systems such as the SIS II. Processing will need the travellers consent as set in EU legislation and national law. (B) the actual control at the border that complements pre-registered information with results of security controls that are performed with a portable, wireless connected intelligent portable control system unit that can be used inside buses/trains or any point. Multiple technologies check validity and authenticity of parameters (e.g. travel documents, visa, face recognition of traveller using passport picture, real-time automated non-invasive lie detection in interview by officer, etc.). The data collected are encrypted, securely transferred and analysed in real time, providing an automated decision support system for the border control officers.

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 700626