Vehicle Accident Detection And Alert System
Shinjan Biswas
B.tech Student
Dept of Electronic and Telecommunication. BIT DURG
Praveen Kashyap
B.tech Student
Dept of Electronic and Telecommunication. BIT DURG
Vivek Kumar Singh
B.tech Student
Dept of Electronic and Telecommunication. BIT DURG
Dr.Vinni Sharma
Assistant Professor
Dept of Electronic and Telecommunication. BIT DURG
Abstract: This project presents a smart and efficient Vehicle Accident Detection and Alert System designed to enhance road safety and reduce the response time during accidents. The system uses an ESP32 microcontroller, which supports both Wi-Fi and Bluetooth communication, to detect abnormal vehicle conditions and send immediate alerts. A gyroscope sensor is employed to detect tilt or sudden motion, which may indicate a crash or rollover. An MQ3 gas sensor is integrated to sense the presence of alcohol or gas leakage inside the vehicle, which ensures early detection of dangerous situations such as drunk driving or fuel leaks. Additionally, an ultrasonic sensor is used to detect nearby obstacles or impacts, further contributing to accident detection. Once a potential accident or hazard is identified, the system activates a buzzer and LED indicator to alert passengers or nearby people. A 16x2 LCD display is used to show the system status in real-time. At the same time, an alert message, including location data if GPS is used, is sent wirelessly to emergency contacts or authorities using Wi-Fi or Bluetooth. The system is powered by a battery, ensuring functionality even when the vehicle's main power fails during a collision. This real-time monitoring and alert mechanism provides a cost-effective and practical solution for improving vehicle safety, especially in areas with limited access to immediate medical support or rescue services. The modularity of the system allows for future upgrades such as GPS integration, GSM for SMS alerts, and mobile app connectivity for live tracking. It is particularly beneficial for private vehicles, public transportation, and fleet management. Overall, the system contributes to minimizing accident severity, saving lives, and providing valuable data for post-accident analysis. This innovative approach demonstrates the effective use of embedded systems and sensors in building safer and smarter transportation systems.
Keywords: Vehicle safety, Accident detection, ESP32, IoT, Gyroscope sensor, MQ3 Alcohol sensor, Ultrasonic sensor, Alert system, Real-time monitoring, Embedded system, Wireless communication, Alcohol detection, Tilt sensor, Buzzer alert, LCD display.
