This project is a face recognition system that allows users to register individuals with photos, query their details, and recognize faces via uploaded images or a live camera feed. The system is designed to be user-friendly and can be applied in various fields such as security systems, attendance tracking, and monitoring.
- Register Individuals: Add individuals with their photo and personal details (name, phone, address).
- Query Individuals: Search for individuals by their name, with support for case-insensitive and accent-insensitive queries.
- Face Recognition: Upload an image or use a camera to recognize faces and display detailed information.
- Camera Support: Capture and recognize faces directly from a live camera feed.
- Display Information: View recognized individuals' details (name, phone, address) alongside their photos.
- Clone the repository:
git clone https://github.com/mefaay/face_recognition_system.git
- Navigate to the project directory:
cd face_recognition_system - Install the required Python packages:
pip install -r requirements.txt
- Run the application:
python app.py
- Use the interface to register, query, or recognize faces via uploaded images or live camera feed.
- Python: The core programming language used.
- Tkinter: For the graphical user interface (GUI).
- OpenCV: For handling image and video capture.
- face_recognition: For facial recognition functionality.
- SQLite: For managing the database of registered individuals.
This project is licensed under the MIT License - see the LICENSE file for details.