License Plate and Face Recognition Web App

This Python project utilizes YOLOv5 for license plate detection and face recognition integrated with Flask to create a web application.

Features

• License plate detection using YOLOv5.
• Face recognition using a pre-trained model.
• Web interface for easy interaction.

Installation

1. Clone the repository:

   git clone https://github.com/abdullah-sdev/LicensePlateRecognitionWebApp.git

2. Navigate to the project directory:

   cd LicensePlateRecognitionWebApp

3. Create a virtual environment:

   python -m venv venv

4. Activate the virtual environment:

   • On Windows:

     venv\Scripts\activate

   • On macOS/Linux:

     source venv/bin/activate

5. Install project dependencies:

   pip install -r requirements.txt

6. Clone YOLOv5:

   git clone https://github.com/ultralytics/yolov5  # clone
   cd yolov5
   pip install -r requirements.txt  # install

Usage

1. Navigate to the project directory:

   cd LicensePlateRecognitionWebApp

2. Open the project folder in VSCode.

3. Activate the virtual environment:

   • On Windows:

     venv\Scripts\activate

   • On macOS/Linux:

     source venv/bin/activate

4. Run the Flask app:

   python App.py

Now, you can use your web browser to access the application at http://localhost:5000.

Screenshots

Video Tutorial

Check out the video tutorial for a step-by-step guide on how to use the License Plate and Face Recognition Web App:

Dependencies

• Python 3.8
• YOLOv5
• Flask
• EasyOCR/PyTesseract
• Other dependencies listed in requirements.txt

Contributing

Contributions are welcome! Please fork the repository and create a pull request with your changes.

License

This project is licensed under the MIT License - see the LICENSE file for details.