This Python script performs face recognition in real-time using the face_recognition library and OpenCV. It can recognize faces from a live video stream and display the names of known individuals along with their confidence levels based on facial similarity. The script uses pre-registered face images from the faces folder to build a database of known faces.
The face recognition algorithm calculates the Euclidean distance between the features of detected faces and known faces to determine the level of similarity. A confidence score is assigned to each recognized face, indicating the percentage of similarity. The confidence score is also written to a results.txt file for future reference.
- Python 3.x
- OpenCV (
cv2) - face_recognition library (
face_recognition)
- Make sure you have Python 3.x installed on your system.
- Install the required libraries using
pip:pip install opencv-python face-recognition - Place the images of known faces in the
facesfolder.
- Execute the script by running the following command in the terminal or command prompt:
python face_recognition_script.py - The script will access your default camera and start recognizing faces in the live video stream.
- Recognized faces will be annotated with bounding boxes and labeled with names and confidence levels.
- Press the 'esc' key to exit the application.