This project is a face recognition-based locking system that verifies whether the detected face matches a predefined base face. It utilizes facial embeddings to enable recognition.

• Extract facial embeddings from images.
• Store the embeddings in a NumPy file (embeddings.npy).
• Capture frames from a webcam.
• Recognize if the detected face matches the base face.
• Simple and efficient implementation using Python and OpenCV.

   git clone https://github.com/Jahan-Jahan/Face-Lock.git
   cd Face-Lock

• Place at least 20 images of your face inside the my_images2 directory.
• Do not crop your face; use full images that include your face.
• Of coures, delete sample.jpg before placing your images.

Run the result.ipynb notebook to extract and save facial embeddings:

• This notebook processes the base face and saves its embeddings into embeddings.npy.

Run the face_lock.ipynb notebook to start real-time face recognition:

• This notebook captures frames from the webcam and compares them against the stored embeddings.
• If the detected face matches the base face, access is granted; otherwise, access is denied.

• Python 3.x
• OpenCV
• NumPy
• deepface
• Jupyter Notebook

Feel free to contribute by opening an issue or a pull request.

This project is licensed under the MIT License.

Happy coding! 😊