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In order to inspect tires, underbody parts, and car exteriors for flaws, missing parts, and other safety-related issues, high-speed camera-based systems use artificial intelligence and machine learning technologies.
According to a statement, the automated car inspection process is quicker than manual inspections and can be finished in a matter of seconds. It displays the real state of the car. Customers will as a consequence be able to spot flaws such as a rusted tailpipe that they were previously unaware of.
The Global Automated Vehicle Inspection system market accounted for $XX Billion in 2022 and is anticipated to reach $XX Billion by 2030, registering a CAGR of XX% from 2023 to 2030.
With the help of proprietary hardware and artificial intelligence, an enterprise that develops and provides automatic vehicle inspection systems has teamed up with a business that conducts auto auctions to assess crucial tires and underbody parts of pre owned vehicles.
The UVeye-developed technology will be usable in the aftermarket car repair sector as well. Future standards for vehicle inspections that are certain and transparent will be set by this document. These standards will apply to inspections of vehicles at dealerships, fleets, and independent repair garages in addition to those conducted at auto auctions.
Their ability to introduce new inspection features on a continuous basis without requiring additional hardware is made possible by these software-focused solutions.The new UVeye inspections are finished in a matter of seconds as opposed to manual inspection procedures, which can take 20 minutes or longer and miss a variety of items.
The assembly-line and paint-shop inspections at the original equipment maker are supported by UVeye’s anomaly-detection solutions, as are numerous aftermarket uses, such as systems for insurance companies, fleet managers, rental companies, dealerships, and used-car auctions.
To find damage, missing parts, and other problems with quality, the company’s Helios underbody inspection system generates thousands of images per second using multiple high-resolution cameras.A mix of proprietary algorithms, cloud architecture, sensor fusion, artificial intelligence, and machine learning technologies are also used by the UVeye Helios and Artemis inspection systems.
