Real-time Face Recognition System using Python OpenCV

Installation Guide:

To use this Face Recognition System, follow these steps:

1. Install Dependencies:
   • Python 3.x (recommended)
   • OpenCV (opencv-python package)
   • NumPy (numpy package)
   • PyTorch (torch package)
   • facenet_pytorch (facenet-pytorch package)

   Install these dependencies using pip

   pip install opencv-python numpy torch facenet-pytorch

2. Download the Source Code: Download the provided Python script for the Face Recognition System.
3. Prepare Your Environment:
   • Organize your face images into a folder (images by default). Please add meaningful images to this folder according to person. example Asif.jpg. Now you are ready to for face recognition .
   • Ensure your webcam or video source is correctly connected and accessible.
4. Run the Script:
   • Open a terminal or command prompt.
   • Navigate to the directory where you saved the script.
   • Run the script using Python:
     python face_recognition_system.py

5. Usage:
   • The script will open a live video feed from your webcam.
   • It will detect and recognize faces in real-time against the stored face images.
   • Detected faces will be annotated with their names if recognized.
6. Interacting with the System:
   • Press q to exit the application.

This guide provides a structured approach to install and utilize the Face Recognition System using Python and OpenCV, ensuring seamless integration and operational efficiency. Subscribe to our YouTube channel and be the first to know about advanced Python projects!