Smart Traffic Light System

A modular smart traffic light system leveraging computer vision and IoT protocols to automate traffic management and violation detection.

Project Structure

.
├── backend/                # Backend API
├── docs/                   # MQTT protocol documentation
├── traffic_light/          # Traffic light control runloop
├── traffic_light_web/      # Vue.js frontend interface
└── violation_detection/    # Dockerfile for license plate OCR and service for red light violation detection

Subfolders

• backend/: Contains the backend server (API) and frontend web application for system management and monitoring.
• docs/: Documentation for MQTT protocols used for communication between system components.
• traffic_light/: Implements the main runloop logic for controlling the traffic lights.
• violation_detection/: Contains code and Docker setup for running YOLO-based vehicle detection and license plate OCR to identify red light violations.

Getting Started

Prerequisites

• Docker (for violation detection)
• Python 3.8+
• Node.js (for frontend, if applicable)

Installation

1. Clone the repository:

   git clone https://github.com/yourusername/MiniSmartTraffic.git
   cd MiniSmartTraffic

2. Start the backend and frontend:

   cd backend
   # Follow backend/README.md for setup instructions

   cd ../traffic_light_web
   npm run serve

3. Run the traffic light control:

   cd ../traffic_light
   python main.py

4. Start violation detection:

   Build the docker image using the Dockerfile in violation_detection and spin up an container on a x86_64 machine using the built image exposing 5000 to the host as the numberplate recognition API.

   cd ../violation_detection
   uv run main.py

5. Refer to docs/ for MQTT protocol details.

License

This project is licensed under the MIT License. See LICENSE for details.