Israeli startup UVeye will unveil an automotive inspection system based on deep-learning technology at the upcoming CES 2020. The system identifies defects on a vehicle in seconds.
The Atlas 360 degree control system uses multiple high-resolution cameras to capture exterior assembly defects, post-production damage, missing components and other quality issues that may otherwise go unnoticed. The system generates thousands of images per second at multiple angles to detect dents or scratches that are two millimeters in diameter.
Additionally, the technology’s proprietary algorithms, cloud architecture, sensor fusion, artificial intelligence and machine-learning technologies allow it to automatically check vehicle chassis components, suspension systems, sheet metal and tires within seconds.
The company has raised more than $25 million in funding for deployment of the inspection systems at automotive OEMs Volvo, Skoda, Daimler and Toyota.
CES 2020 takes place in Las Vegas on Jan. 6-10.
