IoT Accident Detection and Rescue

IoT Accident Detection and Rescue is a smart emergency response system that detects road accidents in real time and immediately initiates rescue communication to reduce response time and improve victim safety. The solution combines an Android mobile application built using Java/XML with an IoT edge device based on ESP32. The Android app provides secure user authentication, emergency contact management, and cloud synchronization using Firebase, ensuring that contact data remains available and updated across sessions. On the hardware side, the ESP32 integrates an accelerometer and camera to monitor sudden impact patterns and capture event context. A threshold-based accident detection algorithm triggers an emergency workflow when abnormal motion is detected, automatically sending an SMS alert containing the user’s live location to saved emergency contacts. The system also includes an in-app guidance video section to help users and bystanders follow basic accident response steps. Current development focuses on reducing false alerts through sensor data optimization, improving GPS accuracy for better location sharing, and integrating an AI assistant to answer user queries during emergencies. Upcoming enhancements include accident event history and logs, optional push notifications and admin monitoring, and complete end-toend testing for deployment readiness. Overall, this project delivers a practical, low-cost, and scalable accident detection and rescue framework using IoT and mobile cloud technologies.