UVeye to unveil new vehicle “Fingerprint” system for security industry

Similar to a human fingerprint, every vehicle has its own unique identity – a “fingerprint” unlike any other car or truck in the world.

UVeye, a developer of vehicle threat-detection systems for the security industry, is introducing technology that can create a virtual “fingerprint” for any vehicle that receives a UVeye underbody scan.

Computer-learning and AI at the webinar

The company will host a free SIA (Security Industry Association) webinar on “How to Fingerprint Vehicles Using Computer Vision” at noon EDT. Visit SIA for additional information and to sign up for the programme.

The company’s CEO Amir Hever and Chief Marketing Officer Yaron Saghiv plan to discuss how computer-learning and artificial intelligence technology can be used to identify vehicle fraud and security threats based on underbody scans.

Vehicle identification

How digital fingerprints can be used at data centres, correctional facilities, airports, border crossings"

“A vehicle with stolen license plates, for example, could easily be identified in the future with an UVeye underbody scan,” Hever notes.

“We’ll also be discussing how digital fingerprints can be used at data centres, correctional facilities, airports, border crossings, hotel entrances, and seaports to name just a few potential use cases.”

Helios underbody scanning systems- UV Inspect

The company recently introduced UV Inspect, a technology that for the first time can instantly identify bombs, weapons, drugs, and other security threats concealed in the undercarriage of new or unfamiliar vehicles.

The company’s mobile and stationary Helios underbody scanning systems when equipped with UV Inspect software can provide law enforcement agencies and security professionals with the ability to automatically pinpoint threats on vehicles that are not in security databases, offering an entirely new level of protection.

Undercarriage threat-detection systems

UVeye undercarriage threat-detection systems can scan vehicles traveling up to 25 mph to improve traffic flow

The company’s proprietary algorithms, cloud architecture, sensor fusion, artificial intelligence, and machine-learning technologies complete necessary vehicle checks within seconds.

First introduced in 2016, UVeye undercarriage threat-detection systems can scan vehicles traveling up to 25 mph (35 km/h), helping to improve traffic flow at checkpoints and border crossings even under extreme weather conditions.

Detection technologies

Stationary Helios systems utilise five high-resolution multi-directional cameras, which work under extreme weather conditions, support single- and multi-lane traffic configurations, and can support vehicle weights of up to 20 tons per axle.

In addition to Helios and UV Inspect, the company’s arsenal of detection technologies includes UV Compare, a deep-learning system that monitors traffic trends to identify changes that might signal safety concerns, and license-plate recognition (LPR) software to assist with vehicle fingerprinting.