Created on 1st November 2020
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In the COVID-19 crisis wearing masks is absolutely necessary for public health and controlling the
spread of the pandemic. So, what if we could have a system that could monitor and supervise
people complying with the safety measures like wearing masks.
We tried to build a model which would be able to identify which person has not worn a mask in a
group of people who are wearing them.
extracting facial features from haar cascade when person is already wearing masks.
Getting appropriate and big dataset.