Autonomous Vehicle Health Monitoring and Driver Safety System

Abstract: This project is to modernize vehicle maintenance processes and enhance driver safety through the integration of advanced autonomous and Internet of Things (IoT) technologies. Current vehicle service methods are impeded by manual inefficiencies, delayed maintenance, insufficient transparency, and the potential misuse of vehicles during servicing. These deficiencies not only jeopardize vehicle health but also pose significant risks to driver safety. To address these challenges, this initiative develops an advanced system that incorporates real-time monitoring, predictive analytics, and automated safety measures. The system employs embedded sensors to continuously assess critical vehicle parameters, including oil levels, engine conditions, and accident notifications. The utilization of the ESP32 enables connectivity with a mobile IoT application, and an auditory alert system, represented by a buzzer, serves to indicate faults and issues.The vehicle is equipped with a temperature sensor, vibration sensor, and fuel leakage sensor. In the event that any of these sensors are activated, the vehicle will automatically enter an off state. Subsequently, we will implement RFID technology for scanning and detection, which will facilitate the reactivation of the vehicle..