Smart Vehicle Status Monitoring and Reporting System Based on Internet of Things (IoT)

Abstract: This study presents the design and implementation of a smart vehicle status monitoring and reporting system based on Internet of Things (IoT) technology. The system was developed to address the high rate of road accidents caused by undetected vehicle faults such as engine overheating, improper tire pressure, and excessive vibration. Using an ESP8266 NodeMCU microcontroller, the system integrates a temperature sensor, air pressure sensor, and vibration sensor to monitor three critical parameters of vehicle health. Data are processed in real time and transmitted wirelessly via Wi-Fi to the Blynk cloud platform, where they are displayed on a mobile application interface. Testing under simulated operational and fault conditions showed that the system accurately detected abnormal readings within seconds and provided instant notifications to the user. The system achieved an accuracy deviation of less than ±2% for temperature readings, ±1 psi for pressure readings, and negligible error for vibration detection. Its multi-parameter monitoring capability and low-cost design offer a significant improvement over existing single-parameter solution. The results indicate that the proposed system can enhance road safety by enabling vehicle owners to take proactive maintenance measures, thereby reducing accident risks and repair costs. Future enhancements may include integration with GPS for location tracking, adoption of AI-driven fault prediction models, and ruggedization for deployment in diverse automotive environments.