Face Recognition with OpenCV and Face Recognition Library

This project uses OpenCV and the Face Recognition library to perform real-time face recognition using a webcam. The implementation captures video frames from the webcam, detects faces, and identifies them based on a predefined set of known faces.

Requirements

To run this project, you need to have the following libraries installed:

• numpy
• face_recognition
• opencv-python

You can install them using pip:

pip install numpy face_recognition opencv-python

Project Structure

• face_recognition.py: The main script that runs the face recognition.
• isma.jpg: An example image used for face encoding. Replace this with your own image.

How It Works

1. Video Capture: The script starts capturing video from the default webcam.
2. Face Encoding: It loads a predefined image (isma.jpg in this case) and creates an encoding for this face.
3. Face Detection and Recognition: For each frame captured from the webcam, the script:
   • Converts the frame from BGR (used by OpenCV) to RGB.
   • Detects faces in the frame.
   • Compares the detected faces with the known faces.
   • Draws rectangles around the faces and labels them with the recognized names.
4. Display: The processed frames are displayed in a window.
5. Exit: The loop continues until the user presses the 'q' key, after which the video capture is released and all windows are closed.

Usage

1. Prepare Known Faces:

   • Replace isma.jpg with your own image files and update the script accordingly to include your own face encodings and names.

2. Run the Script:

   • Ensure your webcam is connected and functional.
   • Execute the script:

   python face_recognition.py

3. Exit:

   • Press 'q' to stop the video capture and close all windows.

Notes

• Ensure your webcam drivers are installed and the device is working correctly.
• This script uses a single known face (isma.jpg) (is not there but it is an example). To add more known faces, load additional images, encode them, and append their encodings and names to facceNote and nomiFacceNote.

Troubleshooting

• If the webcam is not detected, check if the device is connected and recognized by your operating system.
• Ensure the face image used for encoding is clear and well-lit for accurate recognition.

Contributing

We welcome contributions to this project! If you have any improvements, bug fixes, or new features, please feel free to submit a pull request.

License

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