🎯 Face Recognition System Using Python

A real-time face recognition system built with Python, OpenCV, and Deep Learning techniques using Dlib and FaceNet-style embeddings.

🚀 Features

• Real-time face detection & recognition via webcam/IP camera
• Haar cascades for face detection
• FaceNet/Dlib for encoding and matching
• User registration & face encoding storage
• Optimized for real-time performance (CPU/GPU support)

🛠️ Tech Stack

• Language: Python
• Libraries: OpenCV, NumPy, Dlib, face_recognition, TensorFlow/Keras
• Hardware: Web Camera / IP Camera / GPU (optional)

📦 Setup Instructions

git clone https://github.com/YOUR_USERNAME/face-recognition-system.git
cd face-recognition-system
pip install -r requirements.txt

🧑‍💻 How to Use

1. Register a user face:

from face_recognition_module import register_new_face
register_new_face("John", "path/to/john.jpg")

2. Run real-time recognition:

python main.py

3. Quit the app: Press q in the video window.

📁 Project Structure

├── main.py                     # Main script for real-time recognition
├── face_recognition_module.py # Handles face registration and encoding
├── utils.py                    # Drawing utilities
├── database/                   # Stores encodings & user images
├── requirements.txt
├── .gitignore
└── README.md

💡 Future Improvements

• Face mask detection
• Multi-user interface
• REST API for face registration

---

Made with ❤️ using Python.