Development and Implementation of An Intelligent Tire Monitoring System

The traditional tire pressure monitoring systems can only determine the condition of tires by detecting tire pressure and temperature, lacking the capability to detect realtime anomalies such as wheel deformation, abnormal tire tread wear, foreign objects adhering to the tire, abnormal vibrations, and skidding. Neglecting such conditions while driving can lead to serious accidents. In this paper, we develop and implement an intelligent tire monitoring system that utilizes inertial sensors mounted on the tires to capture real-time tire operating conditions. By integrating machine learning technology, the system dynamically detects abnormal tire conditions and provides instant notifications and displays through a Bluetooth-enabled application on a smartphone.