European Union to pilot AI facial analysis to catch dishonest travelers

Alfred Osborne
November 3, 2018

Soon people passing through the borders of Hungary, Latvia and Greece may be faced with the usual "Do you have anything to declare" question and the judge of the answer will be a lie-detection system powered by artificial intelligence.

A program which is called by the name as iBorderCtrl, which is an Artificial intelligence lie detector system is now going to start the trial at European Union border patrol checkpoints.

The countries will spend the next six months trialling the tech, known as iBorderCtrl, at four different crossing points, in an experiment led by Hungarian police. "iBorderCtrl's system will collect data that will move beyond biometrics and on to biomarkers of deceit". The questions will be personalized for gender, language and ethnicity.

"After the traveler's documents have been reassessed, and fingerprinting, palm vein scanning and face matching have been carried out, the potential risk posed by the traveler will be recalculated".

The new system has two distinct stages, first travelers will be required to upload their passports, visas, and proof of funds to an online application centre before being questioned by a computer-animated border guard via their webcam.

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The European Commission thinks that it will provide a "unique approach to "deception detection" analyses the micro-expressions of travelers to figure out if the interviewee is lying".

Travelers are also informed about their rights and travel procedures, and they're given advice that discourages illegal activity.

The passengers who pass the test will be given an QR code which will allow them to pass the border. Those considered to be a higher-risk will go through a more detailed review. The virtual guard will then take over.

Earlier this week, researchers from the Cardiff University and the Charles III University of Madrid revealed VeriPol, an artificial intelligence system which is now being used across Spain by law enforcement to detect fake reports of criminal activity. According to the New Scientist, the success rate was only 76%, but the project staff hope that will improve to 85% through further testing.

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