Design of IoT based Portable Automatic Accident Detection Robot

Abstract

Every year traffic collisions cause about 1.19 million deaths and 20 to 50 million minor accidents approximately, due to this there will be significant economic and social burdens. Already existing accident reporting systems rely on manual methods, which cause delay in emergency response and inaccurate accident location tracking. This paper focuses on developing Automatic Accident Detection Robot, a portable IoT-based system integrated with AI, IoT, and sensors to enable real-time accident detection and rapid emergency response. This system is equipped with an Arduino Uno, monitors driving behavior, detects collisions, and transmits critical accident data, including accurate location and simultaneous patient health status monitoring during the emergency situation. It ensures quick alerts instantly; it reduces response times and enhances survival rates. It deploys the robot in high-risk areas like highways further strengthen road safety. This innovation has the potential to significantly lower fatality rates, improve transportation safety, and instant emergency response systems. This innovative solution addresses the challenges of limited real-time monitoring and seeks to set a new benchmark for health monitoring in high- risk areas and impact on accident prevention.