UVeye and Amazon partner for AI based vehicle inspection

Seattle, United States- UVeye Inc., a development of automated vehicle inspection systems, and Amazon Logistics, announced the deployment of AVI (Automated Vehicle Inspection), an AI-powered system that automates most of the daily inspection process of delivery vehicles. AVI scans for and detects automotive issues, improving fleet maintenance and reducing downtime for Delivery Service Partners (DSPs), as well as improving safety for their drivers and the communities they serve. AVI will be deployed in Amazon delivery stations in the U.S., Canada, Germany and the U.K.

The system has been tested at a few Amazon delivery locations in the United States. It analyzes a vehicle in a matter of seconds as it passes through a tunnel of cameras and sensors. According to an analysis of the data, AVI discovers more flaws in difficult-to-inspect areas than when that portion of the inspection process was completed by hand, such as damage to the vehicle's underbelly or nails in the tire thread (35% of all problems are related to tires). AVI uses computer vision and machine learning to automate a portion of the vehicle inspection process, making inspections more efficient, objective, methodical, and accurate. The data analysis also showed that with better vehicle maintenance, the number of vehicle groundings decreased within weeks.

Mr. Amir Hever, co-founder and CEO of UVeye, said that, Our goal three years ago was to modify our technology to meet the unique requirements of Amazon. "We are quite proud of the system, which is now being scaled to administer tens of millions of inspections annually. Every new feature and enhancement has taken us closer to where we are now.

Mr. Tom Chempananical, Global Fleet Director, Amazon Logistics, said that, We started working on customizing our technology three years ago to meet the unique requirements of Amazon. We are really proud of the system that is now being expanded to handle tens of millions of inspections annually. Every new feature and enhancement has taken us closer to our current state.

You must be logged in to respond.