This is a Python program that uses OpenCV and face recognition libraries to perform real-time facial recognition and authentication. The program captures video from the webcam, detects faces, and matches them against a pre-trained dataset to identify individuals. It calculates the accuracy of the match and displays the results.

• Real-time facial recognition using webcam input.
• Compares detected faces against pre-trained encodings.
• Calculates accuracy based on facial distance and match threshold.
• Displays the matched name and accuracy for each recognized face.
• Returns the most matched name after a certain number of frames.

1. Clone this repository to your local machine.
2. Make sure you have Python and the required libraries installed.
3. Run the recognize_face.py script using the command: python recognize_face.py.
4. The program will capture video from your webcam and display the results in the console.

• cv2 (OpenCV): For capturing and processing video frames.
• face_recognition: For face detection and encoding.
• numpy: For array operations.

• You can adjust the faceMatchThreshold and accuracy thresholds in the getAccuracy function to fine-tune matching and accuracy.
• Update the face_recognition_data directory path to point to your own dataset of face images.

• The face_recognition library simplifies face recognition tasks.
• Inspired by the idea of using facial recognition for authentication.

• This program is designed for educational purposes and might require additional improvements for production-level security.

[Arshit Arora]