Yokohama Rubber Launched AI to Detect Tire Pressure
Date：2025/3/18
Yokohama Rubber has recently developed a technology that uses AI to determine the air pressure status of truck and bus tires based on the sound of tires hitting the ground, and has begun demonstration tests.
Hammer checking is still the dominant method in the daily barometric pressure inspection of truck and bus tires because of the risk of valve failure and leakage associated with measuring air pressure with a barometer and the high cost of real-time monitoring. However, it is not easy for even experienced drivers to determine whether the air pressure is correct based on sound alone, so a simple and accurate way to determine the air pressure state is needed.
To meet this need, the company partnered with Metrika to develop an AI algorithm that can identify the sound of tires hitting tires from a variety of ambient sounds, extract the time from the time the sound occurs to the time the sound is heard (impact sound interval), and predict air pressure based on the extracted impact sound.
In addition, they've developed a prototype-specific application and currently a transport company is testing it. Once it's put into practice, anyone can intuitively grasp the air pressure value on the app by simply recording the sound of hitting the tire with their smartphone.
Through empirical testing, the accuracy of AI algorithms and the usability of applications will be further improved. The company also plans to connect the system with its own next-generation tire management system, T.M.S., which uses the Internet of Things to quickly come up with the best product and operational plans.
Information source: Comprehensively compiled from securities information and network information
Disclaimer: The content contained in it comes from the Internet, WeChat public account and other public channels, we have a neutral attitude towards the views in the article, and this article is for reference and communication only. The copyright of the reprinted manuscript belongs to the original author and institution, if there is any infringement, please contact us to delete.
Hammer checking is still the dominant method in the daily barometric pressure inspection of truck and bus tires because of the risk of valve failure and leakage associated with measuring air pressure with a barometer and the high cost of real-time monitoring. However, it is not easy for even experienced drivers to determine whether the air pressure is correct based on sound alone, so a simple and accurate way to determine the air pressure state is needed.
To meet this need, the company partnered with Metrika to develop an AI algorithm that can identify the sound of tires hitting tires from a variety of ambient sounds, extract the time from the time the sound occurs to the time the sound is heard (impact sound interval), and predict air pressure based on the extracted impact sound.
In addition, they've developed a prototype-specific application and currently a transport company is testing it. Once it's put into practice, anyone can intuitively grasp the air pressure value on the app by simply recording the sound of hitting the tire with their smartphone.
Through empirical testing, the accuracy of AI algorithms and the usability of applications will be further improved. The company also plans to connect the system with its own next-generation tire management system, T.M.S., which uses the Internet of Things to quickly come up with the best product and operational plans.
Information source: Comprehensively compiled from securities information and network information
Disclaimer: The content contained in it comes from the Internet, WeChat public account and other public channels, we have a neutral attitude towards the views in the article, and this article is for reference and communication only. The copyright of the reprinted manuscript belongs to the original author and institution, if there is any infringement, please contact us to delete.