Accident Detection, Alert and Tracking System

Traffic accidents are among the leading causes of death and injury globally, with road accidents being a major public safety issue, especially in countries like India.In India, over 1.5 lakh people lose their lives every year due to accidents, making it a critical concern for public health and safety.The high number of fatalities highlights the urgent need for measures to reduce road accidents and their impact on people's lives.The causes of these accidents are varied but often alcohol consumption.This paper represents a unique Internet of Things (IoT)-based system designed to detect accidents, detect alcohol, and give alerts to a person who cannot drive and emergency responders in real-time.The proposed system utilizes multiple sensors, including motion, ADXL, and alcohol sensors, PIR sensors to identify dangerous situations and provide immediate alerts.When an accident happens, the system utilizes GPS (Global Positioning System) and GSM (Global System for Mobile Communications) modules to pinpoint the vehicle's precise location and send out emergency alerts to pre-registered numbers, such as family members, friends, or emergency services.Additionally, the system proactively alerts if the driver's alcohol consumption is detected.This proactive mechanism aims to reduce accidents by offering early warnings and ensuring timely assistance during accidents.The design and operation of the system are discussed in detail.This paper also inspects the future capacity of integrating these technologies with autonomous vehicles for greater road safety.