UVeye, global provider of top-tier solutions for automated external inspection of vehicles, has officially launched its UV Inspect threat detection technology. Developed to instantly detect threats – such as bombs, weapons, and drugs – stowed in the undercarriage of vehicles, UV Inspect is powered by deep learning computer vision technologies.
UV Inspect meets the challenge of automating threat detection for new and unfamiliar vehicles. The pioneering UV Inspect algorithm analyses each vehicle part separately, using the deep learning computer vision to identify every element on the undercarriage of the vehicle and detect threats within seconds.
This advancement in detection capabilities is built on UVeye’s extensive work in training its deep learning algorithms to truly understand what each part of a vehicle is supposed to look like, independent of make or model or the need for previous examples on record. Examples of the depth of this research become evident in the UV Inspect technology’s ability to identify items like an exhaust pipe without having previously scanned the vehicle.
With this launch, UV Inspect joins UVeye’s arsenal of detection technologies, which includes UVcompare, the deep learning-driven system that monitors trends of repeat traffic to identify changes which could indicate a threat or issue for concern. This technology works by identifying trends on a specific vehicle over time, without the need to compare the image to a model from the manufacturer.
In the coming months, UVeye plans to expand the implementation of the UV Inspect technology to further support its global customers across the security market. UVeye’s technology is currently deployed all over the world at high security facilities such as banks, embassies, prisons, military bases, airports, and more.
