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https://github.com/trivediayush/accident-and-drowsiness-detection

Our college minor project is a comprehensive solution aimed at enhancing road safety. The project comprises two main components: an Accident Detection Model and a Real-Time Driver Drowsiness System.
https://github.com/trivediayush/accident-and-drowsiness-detection

accident-detection accidents-analysis college-project cvzone dlib-face-detection dlib-face-recognition face-detection face-recognition imutils minor-project numpy opencv pandas python python3 yolov8

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Our college minor project is a comprehensive solution aimed at enhancing road safety. The project comprises two main components: an Accident Detection Model and a Real-Time Driver Drowsiness System.

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README

          

# Accident Detection and Real-Time Driver Drowsiness System

## Overview
This project is a collaborative effort aimed at enhancing road safety. We have developed an accident detection model using a video dataset and YOLOv8, and a real-time driver drowsiness detection system in Python.

## Features
1. **Accident Detection**: Utilizes a video dataset and the YOLOv8 model to detect accidents. The model has been trained to recognize various types of accidents.
2. **Driver Drowsiness Detection**: Monitors the driver in real-time using a webcam. The system can detect signs of drowsiness or inattention, and can alert the driver or stop the vehicle to prevent accidents.

## Prerequisites
- Python 3.x
- OpenCV
- Numpy
- Ultralytics YOLOv8
- Pandas
- Opencv
- Imutils
- dlib

## Installation
1. Clone the repository: `git clone https://github.com/your-repo-link`
2. Install the dependencies: `pip install -r requirements.txt`

Contributors


## License
This project is licensed under the GPL 3.0 License. See the LICENSE file for details.

## Acknowledgements
We would like to thank our mentors and peers for their guidance and support throughout the development of this project.