IoT Based Smart Vehicle Safety System

Road accidents remain one of the leading causes of fatalities worldwide, primarily due to driver negligence, delayed emergency response, and lack of real-time vehicle monitoring. Factors such as alcohol consumption, drowsiness, and failure to wear seatbelts significantly increase accident risks. This paper presents an IoT Based Smart Vehicle Safety System designed to enhance driver safety and reduce accident severity through continuous monitoring and intelligent decision-making. The proposed system is built around the ESP8266 Wi-Fi module, integrating a seat belt sensor, eye-blink sensor, alcohol sensor, and GPS module to monitor driver behavior and vehicle conditions in real time. The system communicates with the Blynk IoT plat form for remote monitoring and alert generation. When unsafe conditions are detected, such as alcohol presence, driver drowsiness, or seat belt violation, the system initiates preventive actions including engine control and alert notifications. Experimental results demonstrate reliable detection, fast response time, and effective real-time monitoring, making the system suitable for smart transportation and intelligent vehicle safety applications.