AcciSense: Real Time Accident Detection and Alert

Abstract

Road traffic accidents remain a major global concern, causing significant loss of life and property each year. Rapid accident detection and timely emergency response are crucial in reducing fatalities and minimizing damage. This research presents an Internet of Things (IoT)-based intelligent vehicle safety and accident detection system built around the ESP32 microcontroller. The proposed system is capable of identifying accident events, monitoring engine temperature, detecting structural damage, and identifying possible gas leakage while simultaneously transmitting emergency alerts with GPS location information.The system integrates an MPU6050 accelerometer and gyroscope sensor to recognize abrupt motion changes, tilt variations, and high-impact collisions that may indicate accidents. Engine temperature is monitored continuously to prevent overheating conditions that could lead to mechanical failure or fire hazards. A flex sensor is incorporated into the vehicle body to detect deformation caused by impacts, enabling dent detection during collisions. Additionally, an MQ2 gas sensor monitors combustible gases such as LPG or fuel vapors, which may leak during severe accidents.The ESP32 serves as the central processing unit and communicates with the Blynk IoT platform via Wi-Fi to transmit real-time sensor readings and alert notifications to a user’s smartphone. When abnormal conditions such as accidents, gas leaks, or excessive engine temperature are detected, the system activates a buzzer and red LED for immediate local warning while sending emergency notifications containing GPS coordinates to the mobile application. A green LED indicates normal system operation.Furthermore, the system supports remote ignition management through the Blynk IoT interface. A relay-controlled DC motor is used to simulate the vehicle ignition mechanism, allowing users to remotely enable or disable the engine. This functionality can help prevent theft or mitigate hazards during emergencies. The GPS module continuously tracks vehicle location and transmits real-time coordinates to the mobile platform, enabling quick identification of accident locations by emergency responders and family members.The proposed system demonstrates how integrating IoT technologies with smart sensing modules can significantly enhance vehicle safety, accident response efficiency, and remote monitoring capabilities.