An Intelligent IoT Framework for Smart Accident Detection and Instant Alert Generation

Abstract

Road accidents are a leading cause of injury and death around the world due to the delayed emergency response and drunk driving, without the availability of real-time monitoring systems. Traditional accident-reporting procedures rely on manual communication and lead to longer rescue times and limited prospects of timely medical support. In order to solve these problems, this research introduces an intelligent smart accident detection and instant alert generation system based on an embedded system and wireless communication technologies. This proposed solution combines the use of Arduino Uno, vibration sensors, alcohol sensors, GPS modules, GSM communication, Wi-Fi connectivity, LCD displays, and buzzer units to enable real-time monitoring of vehicles and automated emergency responses. The system is constantly assessing the state of the vehicle and driver's actions in real time. The vibration sensor senses anomaly of the intensity of impact in case of collision and can immediately begin the mechanism for the detection of the accident. The GPS module gets the exact geographical position of the vehicle and the GSM module automatically sends out emergency call messages of the accident and the geographical coordinates of the accident to preprogrammed emergency contacts. The framework is also designed to include an alcohol monitoring feature that detects alcohol impaired driving conditions, and provides warnings to prevent alcohol impaired driving. Furthermore, Wi-Fi connectivity allows for cloud-based monitoring and integration with IoT, which can facilitate real-time data analysis and intelligent transportation solutions.