The variety of technologies on display proved the million potential use-cases for AI in the future of automotive technology.
Earlier this month, the EcoMotion 2022 conference took place, where companies and experts from across the automotive technology industry gathered to showcase the latest innovations defining the sector.
From computer vision to artificial intelligence, the advancements on display paint a telling picture of the ways that we will interact with our vehicles in the pretty-near future.
Autonomous vehicles were additionally exhibit at the conference, with new technologies showcased by firms for example the guiding Entity verification forum Foretellix. The company’s forum is utilized by companies love Volvo, MobilEye and Virago Web Services to confirm the safety and viability of the application utilized to train Autonomous Cars and Sophisticated Driver-Assistance Systems.
The Renault-Nissan-Mitsubishi Innovation Lab in Tel Aviv was exhibit at the conference, seeing for the modern innovations to use in coming days vehicles and services offered by the alliance members’ companies. The lab’s task statement is to approach state-of-the-art mobility, with the essential focus on vision sensors, cybersecurity, EV and information & AI.
The company demonstrated instances of a driver showing signs of becoming drowsy or distracted, which were quickly recognized by Cipia’s AI system and flagged appropriately. If put to proper use, this technology could potentially save lives, preventing accidents caused by distracted drivers behind the wheel.
Not all of the technology showcased is intended expressly for drivers — autonomous or otherwise. Some of it is meant to help users assess the wellness and maintenance of their vehicles; one such technology is QUESTAR’s vehicle health management system, which converts accumulated data from all of a vehicle’s systems into maintenance insights, which are then processed by an AI engine which accurately diagnoses the faults in the vehicle and alerts users.
“The solution we offer is part of a considerate and carries with it a genuine line for tipping point in vehicle maintenance and savings amongst institutional and personal customers,” stated Erez Lorber, CEO of QUESTAR. “The mixture of AI and sophisticated telemetry supplies a dual test of both technologies simultaneously, with a in particular soaring level of accuracy that enables you to recognize at any delivered moment about the condition of your vehicle and address it only when required.”
“At identical time, we’re working closely with there are numerous car manufacturers for implementation tech in new cars throughout the making phase, to such an extent that it’ll be installed on the car’s computer. This will enable both the manufacturer and the customer to repeatedly monitor the health of the vehicle,” Lorber added.
Another notable company that utilizes AI to monitor vehicle wellness is Ravin.AI, which uses computer vision technology to detect and monitor a vehicle’s condition by leveraging mobile phone cameras and standard CCTV footage to make efficient and accurate damage assessment reports. The technology enables users to take a 360° scan of any make or model of vehicle, and the AI algorithm can then find and flag if and where there’s damage, its severity, and even assess how much it will cost to fix in a given location.
Ravin’s technology is a game-changer for car dealerships and rental facilities that require frequent, accurate assessment of the damage. The platform is able to detect 25% more damage to vehicles than human inspectors alone, and is in use worldwide, with customers such as Toyota Israel and Lexus.
“Until now inspections have typically happened with a piece of money and a pen – you stroll around the car, you endless really thoroughly and you attract circles on a bit sketch of the car and flesh out this form. It’s extremely manual, which has been peculiar for this time in history,” detailes Ravin’s product manager Omer Perry. “There’s a lots of require to make things easier and more efficient. [With Ravin], these inspectors is capable of doing a scan that would possibly catch 20 or 30 minutes in the past. Our scrutiny could catch 30 seconds, a minute, 15 minutes — depending on how extensive you Y3JhdmV8ZGVzaXJlfHdpc2hmb3J8ZmFuY3l8Y292ZXR8eWVhcm5mb3J8require this examination to be. So it cuts down the time, it’s more accurate, it’s more consistent.”
In conclusion, she noted in one sentence one of the most valuable aspects of AI in everyday use cases such as this: “AI doesn’t have bad days and good days, like people do.”