V2M is a company incorporated in Delaware. Drawing from our extensive expertise in sound and vehicle diagnostics (spanning from 1978 to the present), we've crafted a novel approach using patented technology to identify car issues based on the unique sounds of actual malfunctions. Our system detects car malfunctions by the sound the car is making. Truly, it's the future that has arrived.
Many of these solutions come at a high cost and can be challenging for vehicle owners. Just two decades ago, being a "driver" was considered a profession. However, today's driving school curriculums often overlook fundamental knowledge about vehicle mechanics. This leaves contemporary drivers potentially ill-equipped to accurately discern unfamiliar car noises or sounds.
Of all requests for repairs contained the concept of "diagnosis". The data include all requests, where at least one of the items was diagnosis (of any kind).
It turns out that 14.7% of all requests (that is more than half of the diagnostic requests) contained the presence of any noise as a symptom of failure.
V2M makes cars to hear the sound of a malfunction and determine what exactly the problem is. The main idea behind this project was to increase safety on the roads. The company is already developing a scoring model that will be able to predict potential malfunctions by the sound of the car. Telematics Wire explores more about this new technology with its founder Petr Bakulov.
Wonderful Engineering as a community of international engineers reviewed V2M system designed to capture tricky issues by utilizing onboard modules to listen for them.
While there are some mechanical problems that can easily be detected by a car's onboard sensors, there are others which are a bit trickier. The V2M system is designed to catch those other ones, by listening for them using onboard modules.
V2M system works using modern technologies in the field of electroacoustics and sound systems. V2M team has developed a methodology that, with the help of special software (artificial intelligence, multilayer neural network), determines the presence of patterns of faulty sound and concludes which malfunction is on board.
The paper deals with the tendencies in the development of automobile market, changes in the structure and forms of car ownership, changes in the characteristics of drivers.
Petr Bakulov speaks with Zia Askari from TelecomDrive.com about the key priorities for V2M today and how it is driving innovation in the market.
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