Artificial Intelligence / Computer Vision / Smart Road Safety System
This project is a smart accident detection and emergency alert system designed to improve road safety by detecting accidents and fire incidents in real time through live road camera feeds. The system uses the YOLOv8 object detection model, trained on a custom dataset, to analyze video streams and identify emergency events automatically. It includes a web-based dashboard for admin monitoring and station management, a Flask-based backend for system processing, Firebase for real-time data storage, and a hardware communication module using ESP32 and SIM800L GSM for automatic phone calls and SMS alerts. The system also sends email notifications with event details and video evidence, and helps notify nearby emergency services such as hospitals, police stations, and fire brigades. Overall, it provides an integrated AI-based solution for fast accident reporting, automatic alert generation, and improved emergency response.
AI-Based Smart Accident Detection and Emergency Alert System Using YOLOv8
This project is a smart accident detection and emergency alert system designed to improve road safety by detecting accidents and fire incidents in real time through live road camera feeds. The system uses the YOLOv8 object detection model, trained on a custom dataset, to analyze video streams and identify emergency events automatically. It includes a web-based dashboard for admin monitoring and station management, a Flask-based backend for system processing, Firebase for real-time data storage, and a hardware communication module using ESP32 and SIM800L GSM for automatic phone calls and SMS alerts. The system also sends email notifications with event details and video evidence, and helps notify nearby emergency services such as hospitals, police stations, and fire brigades. Overall, it provides an integrated AI-based solution for fast accident reporting, automatic alert generation, and improved emergency response.