UVeye has developed threat-detection 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 UV Inspect software provides 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.
Previously in use with a select number of UVeye clients, the Israeli company’s UV Inspect technology now will be available to security-industry customers worldwide.
UVeye inspection systems currently are deployed at hundreds of high-security locations throughout the world and have generated millions of vehicle scans at border crossings, vehicle check points, hotel entrances and other commercial locations.
When equipped with the now widely available UV Inspect, the company’s undercarriage inspection systems can automatically scan and detect threats on any type of vehicle using proprietary artificial intelligence, deep-learning and machine-learning technologies.
“UV Inspect takes vehicle-security inspection to an entirely new level,” says Amir Hever, UVeye’s CEO. “The wider release of UV Inspect provides our customers with the ‘first pass’ ability they need to identify threats on vehicles that have never been scanned or entered into a security-system database.
“Our newest generation of deep-learning technology can detect within seconds a wide variety of threats, including explosives, firearms, illegal drugs, or other contraband. Compared to traditional vehicle-security methods, UVeye’s drive-through mobile and stationary inspection systems also ensure security without disrupting traffic.”
Introduced in 2016, UVeye’s undercarriage threat-detection systems can scan vehicles traveling up to 25 mph (35 km/h), helping to improve traffic flow at check points and border crossings even under extreme weather conditions.
UV Inspect joins an arsenal of UVeye detection technologies that includes UV Compare, a deep-learning system that monitors repeat traffic trends to identify changes that might indicate a threat or issues of concern. UVeye also offers license-plate recognition (LPR) as an added feature to monitor check-point traffic or to support entrance-management at hotels, banks and other high-security locations.
The company provides stationary and mobile versions of its threat-detection systems. Because of high-speed image processing, operators have access to a fully scanned image of a vehicle’s undercarriage for evaluation within seconds.
In addition, the company recently unveiled plans for the development of deep-learning technology to dramatically change how automakers, fleet operators, car rental agencies and new- and used-car dealerships inspect vehicles. UVeye already has raised more than $35 million to begin deployment of quality-control inspection systems at Volvo, Skoda, Daimler, and Toyota Tsusho.