Road accidents are a major public safety concern, and delays in identifying accidents and notifying emergency services can increase the risk of severe injuries and loss of life. To address this challenge, this paper proposes an IoT-Enabled Automated Accident Detection and Reporting Platform that uses Internet of Things (IoT) technology to detect vehicle accidents and automatically transmit accidentrelated information to designated emergency contacts and response authorities. The proposed platform integrates sensors, a microcontroller, GPS, and wireless communication modules to continuously monitor vehicle conditions and identify abnormal events associated with accidents. When a potential accident is detected based on predefined sensor thresholds, the system processes the collected data, determines the vehicle's geographical location, and generates an accident alert containing relevant information such as GPS coordinates and incident status. The alert is transmitted through an available communication network to facilitate faster emergency notification and response. The platform aims to reduce manual intervention, improve accident reporting efficiency, and support timely assistance for accident victims. By combining real-time sensing, location tracking, and automated communication, the proposed system provides an effective IoT-based approach to intelligent vehicle safety and emergency management.
Keywords : Internet of Things (IoT), Automated Accident Detection, Accident Reporting, Vehicle Safety, GPS Tracking, Sensor-Based Monitoring, Microcontroller, Wireless Communication, Emergency Alert System, Real-Time Monitoring.
Author : Dr K RAJESH , P SPANDANA , B MAHESH
Title : AN IOT-BASED INTELLIGENT ACCIDENT DETECTION AND AUTOMATED EMERGENCY RESPONSE FRAMEWORK
Volume/Issue : 2026;03(07)
Page No : 1150-1161
