Number Plate Detection 🚘🔍

This project is a simple Number Plate Detection system built using OpenCV and Python. It uses image processing techniques and a pre-trained Haar Cascade classifier to detect number plates in real-time from video streams or static images.

📸 Demo

🧠 Features

• Real-time number plate detection using webcam
• Uses OpenCV's Haar Cascade Classifier
• Highlights detected number plates with rectangles
• Can be extended for OCR (Optical Character Recognition)

🛠️ Technologies Used

• Python 3.x
• OpenCV
• Haar Cascade Classifier

📁 Project Structure

Number-Plate-Detection/

│

├── Numberplatedetection.py # Main script for plate detection

├── haarcascade_russian_plate_number.xml # Haar Cascade model for number plates

└── README.md # Project documentation

🚀 How to Run

1. Clone the Repository

git clone https://github.com/iamdevdhanush/Number-Plate-Detection.git
cd Number-Plate-Detection

2. Install Requirements

pip install opencv-python

3. Run the Script

python Numberplatedetection.py

📦 Dependencies

opencv-python

You can install them using pip:

pip install -r requirements.txt

📌 Notes

Make sure you have the correct Haar Cascade XML file (haarcascade_russian_plate_number.xml).

This project is a basic implementation and doesn't perform OCR. You can extend it using pytesseract for extracting plate text.

🤖 Future Improvements

Add OCR to extract text from number plates

Improve accuracy with deep learning-based detection (YOLO, SSD)

Support detection in images and video files

📄 License

This project is licensed under the MIT License.

🙋‍♂️ Author

Dhanush

GitHub