AI in the automotive industry Beyond in-car assistance

TapTechNews June 24th news, currently AI is almost 'everywhere', take the car field as an example, there are in-car large model voice assistants, as well as various types of intelligent assisted driving, but the potential of AI is far more than that. According to Carscoops' report today, many US dealers have adopted AI systems for the initial inspection of vehicles.

AI in the automotive industry Beyond in-car assistance_0

It is reported that the relevant technology has been deployed in 300 dealers across the US, significantly improving their work efficiency and shortening working hours. A Cadillac dealer in Las Vegas that installed a automated vehicle inspection system said that the whole scanning process is very simple and takes less than a minute.

Customers drive their cars through a large scanner, which can take multiple pictures from various angles (TapTechNews note: including the underside of the car). Then these images will be detected through the artificial intelligence software to identify any defects on the exterior, tires and visible mechanical parts.

After about 30-45 seconds, customers will receive a 'comprehensive condition report' about their vehicle. Based on the inspection results, the dealer's technicians can fix any potential problems to ensure the safety of the vehicle on the road.

A local automated vehicle inspection system supplier UVEye said that the company's automated vehicle inspection system can quickly detect defects such as oil leaks, while usually, technicians need to spend a lot of time lifting the vehicle and thoroughly inspecting.

The general manager of the company said that the only object that may be dissatisfied with AI is the customer. 'If the system points out previously unknown defects, there may be a cost. However, it is better to discover the potential problems of the car in advance than dealing with them after discovery.'

It is worth noting that this technology shows that the capabilities of AI can go beyond that of humans, but will not take away the jobs of humans. Instead, it creates extra work for technicians, keeping them busy repairing those problems that might have been overlooked otherwise.

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