Traffic Monitoring System

Overview

The Traffic Monitoring System is a Python-based project that uses computer vision techniques to monitor traffic and detect vehicles in real-time. The system is designed to work with live video streams and analyze vehicle movements within specific zones of interest and displaying them on a map.

Features

Real-time vehicle detection and tracking within designated zones.
Vehicle speed estimation based on pixel-to-meter ratio.
Integration with live video streams from YouTube (Periph Nord Lyon Live)
Modular design for easy expansion and customization.
Graphical user interface for displaying processed video and zone statistics.

Requirements

Python 3.x
OpenCV (cv2)
m3u8
Requests

Getting Started

Clone the repository:

   git clone https://github.com/MrCybernetic/counting_cars.git
   cd counting_cars

Install the required dependencies:

   pip install -r requirements.txt

Run the main script:

   python main_script.py

Usage

Setup the zones in the main script:

    # see Zone class for more details
    zones = [
        [Zone([(575, 150), (620, 150), (840, 350), (750, 350)], 100, 200, 200/42, -15, -35), []],
        [Zone([(500, 150), (530, 150), (680, 350), (620, 350)], 100, 200, 200/42, 10, -30), []],
        [Zone([(475, 150), (505, 150), (620, 350), (560, 350)], 100, 200, 200/42, -10, -35), []],
        [Zone([(425, 150), (450, 150), (520, 350), (460, 350)], 100, 200, 200/42, -10, -30), []]
    ]

Project Structure

main_script.py: Main entry point of the system.
zones_of_interest.py: Defines the Zone class and its methods.
cars.py: Implements vehicle tracking and speed estimation.
utils.py: Contains utility functions used throughout the project.
stream_mgmt.py: Handles video streaming and frame retrieval.
maps.py: To display cars on the map.

Contributing

Contributions are welcome! If you find any issues or have improvements to suggest, please create a pull request.

Acknowledgements

License

MIT License : https://opensource.org/licenses/MIT