Ravin AI, leader in developing AI-enabled vehicle inspection tools, today announced a European patent for its Vehicle Damage-Finder Stationary Modeling System. The technology leverages stationary cameras to capture a car’s image and provide a comprehensive vehicle damage report by cross referencing a vehicle with its computed model. This enables the inspection of individual parts of a moving vehicle and increases report accuracy without limiting image taking angles, ultimately leading to improved fleet management, transparent car rental and repair shop experiences, faster and more reliable insurance claims, and fairer used car prices. The patent includes Great Britain, Germany, Italy, France, Spain, and is the first-of-its-kind in the field of AI-powered visual inspection.
Rather than relying on an OEM database or blueprint of a vehicle, Ravin’s damage finder uses an algorithmic modeling system, which is able to compute a vehicle model, recognize what and where certain parts are, and identify anything that is “foreign” to a car (dirt, stickers, damage, etc.) by cross-referencing the car model with the actual vehicle. Comparing the vehicle to its own model eliminates the need to train the AI to identify millions of images. This allows for detailed inspection of a vehicle’s parts, improving both sensitivity and accuracy.
The newly patented technology has already been successfully deployed in numerous locations, including London Heathrow Airport, in partnership with Avis.
“This patent is a significant vote of confidence in our technology as a game changer in vehicle damage assessment,” said Eliron Ekstein, CEO and Co-founder of Ravin AI. “Not only do our algorithms save time by improving analysis efficiency, they also do not interfere with fleet management operations. Our unique technology is already creating a more coherent and trustworthy system of vehicle appraisal for consumers and businesses across the continent, helping fleet managers, insurance firms and car rental agencies streamline their operations and improve customer experience.”