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Number Plate Detection System 🚗🔍

Automatic detection and recognition of vehicle number plates using advanced machine learning techniques.

🎯 Demo Outputs

GIF Demo

Demo GIF

Image Result

Detected Plate

📌 Project Overview

This is a full-stack application for automatic number plate detection and recognition. It leverages YOLOv5 for detecting number plates and PaddleOCR for recognizing characters from detected plates. Built with a Python-based backend and a React frontend for a user-friendly experience.

📂 Project Structure

project-root/
├── backend/
│   ├── model/
│   │   └── best.pt
│   ├── main.py
│   └── requirements.txt
└── frontend/
    ├── node_modules/
    ├── src/
    │   ├── components/
    │   ├── Dashboard.tsx
    │   ├── DetectionPanel.tsx
    │   ├── HistoryPanel.tsx
    │   ├── NotificationsPanel.tsx
    │   ├── NumberPlateDetection.tsx
    │   └── StatsPanel.tsx
    ├── styles/
    ├── App.tsx
    ├── index.css
    ├── main.tsx
    └── vite-env.d.ts

🚀 Quick Start

📥 Model Weights Download

You can download the pre-trained YOLOv5 model weights from the following link:

➡️ Download Model Weights

Place the downloaded weights (best.pt) into the backend/model/ directory.

Clone Repository

git clone https://github.com/alok-ahirrao/Number-Plate-Detection-System.git

Backend Setup

Navigate to the backend directory, install dependencies, and start the server:

cd backend
pip install -r requirements.txt
python main.py

Backend API runs at: http://localhost:8000

Frontend Setup

Navigate to the frontend directory, install dependencies, and start the development server:

cd frontend
npm install
npm run dev

Frontend app runs at: http://localhost:5173

Technologies Used

  • FastAPI
  • PyTorch
  • YOLOv5
  • PaddleOCR
  • OpenCV
  • React
  • Vite

🤝 Contribution

Feel free to improve this project by submitting pull requests. Your contributions are welcome!

📜 License

Copyright © 2025, Alok Ahirrao

Licensed under the Creative Commons Attribution-NonCommercial 4.0 International License. You may use or modify this project for personal or educational purposes only. Commercial usage requires explicit permission.

For inquiries, please contact [email protected].

🌟 Happy Coding! 🌟