The proposed method is efficient and reliable for registering and updating attendance logs. The haarcascade classifier is utilized for face detection from the live feed of the camera frame. Likewise, the Local Binary Pattern Histogram(LBPH) algorithm is implemented to extract features from detected faces and provides the result accordingly if the features match a score above the threshold value. Kindly, check out the presentation file for a brief overview of this project.
For software requirements, I suggest that your system should be installed with anaconda environment and exposed to required libraries or else directly install jupyter notebook and run the attendance.py file after installing required libraries.
For required libraries:
pip install -r requirement.txtFeel free to ping me for any issues or you can also create a new issue :)
This is totally team efforts and acknowledgement goes with it.
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