face_recognition

👁️‍🗨️ Face Recognition Using Python

This project demonstrates a real-time face recognition system built using Python, OpenCV, and the face_recognition library. It captures video through a webcam, detects faces, and recognizes individuals based on pre-trained images.

📚 Table of Contents

Features
Demo
Installation
Usage
Contributing
Contact

✅ Features

🎯 Real-time face detection and recognition via webcam
🔍 Automatic face encoding and comparison with known faces
🧠 Labels recognized faces with names
🚫 Identifies unknown faces
🖼️ Uses dlib via face_recognition for precise accuracy
💡 Easy to extend with more known faces

💻 Installation

To run this project locally, follow these steps:

Clone the repository ```bash git clone https://github.com/your-username/face-recognition-python.git cd face-recognition-python

Install required dependencies

bash

pip install face_recognition opencv-python numpy

```

⚙️ Usage Place your known face images in the project folder (e.g., person.jpg).

Update the image filename in the script.

Run the script:

bash Copy Edit python face_recognition_live.py Press Q to quit the webcam window.

🧠 How It Works Loads a known image and encodes it.

Opens a webcam stream.

Detects faces and encodes them in real-time.

Compares detected faces with known encodings.

Displays the name if matched, otherwise “Unknown”.

🤝 Contributing Contributions are welcome and appreciated! Here’s how you can contribute:

Fork this repository

Create a new branch (git checkout -b feature/YourFeature)

Commit your changes (git commit -m ‘Add your feature’)

Push to the branch (git push origin feature/YourFeature)

Open a Pull Request

📬 Contact Feel free to reach out with suggestions or questions:

🌐 Website: www.aditibelwal.dev

💼 GitHub: @aditibelwal007

🔗 LinkedIn: Aditi Belwal