Road-accident-detection.mp4

Road Accident Detection & Alert System

Overview

The Road Accident Detection & Alert System is a project designed to detect accidents on roads, trigger alerts, capture accident details, and enable emergency response. It utilizes computer vision, audio alerts, and communication technologies to improve response times and assist in emergency situations.

Features

Accident Detection: Utilizes computer vision algorithms to detect accidents based on visual cues.

Alert System: Triggers an alert sound upon detecting an accident to notify nearby individuals.

Screenshot Capture: Captures a screenshot of the accident scene along with date and time for documentation.

Emergency Response: Allows authorized personnel to initiate emergency medical services by calling an ambulance.

Technologies Used

Computer Vision: OpenCV for image processing and object detection.

Audio Alert: Integration with sound libraries for alert notifications.

Communication: Integration with twilio for emergency response.

Documentation: GitHub for version control and project sharing.

Getting Started

To use the Road Accident Detection & Alert System, follow these steps:

Clone the repository to your local machine.

Install the necessary dependencies listed in the requirements file.

Configure the system settings and authorized personnel details.

Run the main application script to start monitoring for accidents.

In case of an accident, follow the on-screen instructions for emergency response actions.

Usage

The system is designed for use in surveillance and monitoring scenarios where quick detection and response to accidents are crucial. It can be deployed in traffic management systems, surveillance cameras, and other relevant environments.

Contact

For Dataset and inquiries, contact Rohan Malhotra .