Face Mask Detection using Deep learning
The rapid spreading of Coronavirus is a major health risk that the whole world is facing for the past two years. One of the main causes of the fast spreading of this virus is close and direct contact of people with each other. There are many precautionary measures to reduce the spread of this virus; however, the major one is wearing face masks in public places.
This project processes images using deep learning models (CNN) to detect in an image if a person wears a face mask.
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Ruipeng Han (ruipeng2@illinois.edu) Tianchen Wang (tw17@illinois.edu) Houze Yang (houzey2@illinois.edu)