Capture image from live video and process on image.
In image processing use different steps like image enhancement, restoration, morphological,
segmentation.
 Finally, calculate the result from standard Brinell's standard equation.

Implementation of the algorithm to detect Face and compare with the model using OpenCV(image processing),
sklearn, Numpy, Matplotlib.
Face key points extracted and store into the database.
Train database using TensorFlow, Machine Learning library.
For Classification use Multi-Layer Perceptron (MLP).
Attendance store in excel sheet with date and time.