General Motors follows the lead of artificial intelligence

General Motors, an American car manufacturer with several brands such as Chevrolet and Cadillac, tends to use artificial intelligence to design ever more efficient vehicles. It has thus forged several links with start-ups to speed up the inspection process for its vehicles or to reduce the operating costs of its customers.

Diagnose vehicle faults using AI and machine learning

In a blog post published on June 21, UVeye, an Israeli start-up specializing in the design of vehicle diagnostic systems using artificial intelligence, announced the signing of a partnership with General Motors. The startup uses sensors, cameras, and machine learning to quickly identify potential damaged parts, manufacturing defects, missing parts, or various maintenance issues.

In the same category

A Tesla vehicle drives on a wet road.

Why are the Berlin police worried about the cameras fitted to Tesla vehicles?

The device used by UVeye to diagnose the condition of vehicles.The device used by UVeye to diagnose the condition of vehicles.

In order to be diagnosed, the vehicles cross the airlock and pass through a scanner made up of cameras and sensors. In a few minutes, the supplier can have access to a detailed report on the slightest defect present on the vehicle. Screenshot: UVeye / Vimeo.

As part of this collaboration, Generals Motors will sell technology developed by UVeye to its network of approximately 4,000 dealerships to upgrade their vehicle inspection systems. In addition, the firm will work with the start-up on multiple projects, always related to vehicle inspection.

Reduce operating costs with fleet optimization software

Another partnership was announced in a statement by Generals Motors in June. One of the firm’s subsidiaries, Bright Drop, which builds electric utility vehicles for delivery, will work with Marain, a start-up that has designed fleet optimization software. This tool makes it possible to analyze, predict and identify all the possibilities allowing delivery people to save time in the delivery of products, especially in the last mile.

Thanks to AI and more particularly to machine learning, the software analyzes a lot of data to model different delivery contexts. BrightDrop will integrate this technology into its software suite to show its customers the benefits they can gain (or save) by making the transition to all-electric last-mile logistics.

As Damien Scott, CEO and co-founder of Marain, points out, ” the opportunity to electrify the delivery industry is huge. The use of sophisticated planning and operating software will make it possible to accentuate the arrival of all-electric “. Of course, the objective is to use artificial intelligence as much as possible to convince delivery companies to switch to all-electric and therefore decarbonize last-mile deliveries.

Recently, General Motors and Honda announced their collaboration to produce millions of electric vehicles, one of the priorities of the American automaker who wants to dethrone Tesla.

ttn-4