Wheel Alignment Detection Using Embedded ML and Tyre Pressure Detection

With its capacity to automate processes and controls, smart technology finds application in areas ranging from any industry to health care, helping to improve efficiency and optimise performance. These devices are made brainy by advanced computing frameworks like machine learning and artificial intelligence and connection to the network to form the Internet of Things (IoT). These advanced computing technologies have also made autonomous driving possible. Hence, to aid independent driving, the present-day need is to develop intelligent tyres capable of reporting parameter changes, such as pressure, temperature and alignment. The journeys with innovative technology can be smarter with real-time tracking of the tyre status providing efficient preventive measures. Innovative technology in the tyre assists in maintaining its health by providing its real-time status or predicting its possible parameters. This study focuses on two tyre features: misalignment status and pressure monitoring. It aims to notify the user about the tyre pressure and alignment status to take preventive measures. The project is realised with embedded ML technology.