Authors : Swapnaja Kalsait; Sayali Pote; Siddhi Muskande; Shivani Patil; O. S. Dubal
Volume/Issue : Volume 7 - 2022, Issue 3 - March
Google Scholar : https://bit.ly/3IIfn9N
Scribd : https://bit.ly/3jIDn2s
DOI : https://doi.org/10.5281/zenodo.6463272
COVID-19 has affected the world badly.
Studies have demonstrated that wearing a facial
covering is one of the insurances to diminish the danger
of viral transmission. And many public places as well as
public service providers require customers to use the
service and place only if they wear mask correctly.
Sometime it may not be easy to manually track the
customer, whether they are wearing the mask or not.
That’s why this technology holds the key here. In this
system, we propose face mask detection using image
processing which is one of the high-accuracy and
efficient face mask detector. This proposed system is of
three stages i.e. 1. Image preprocessing 2. Face detection
and crop 3. Face mask classifier. Our system is capable
of detecting masked and unmasked faces and can be
integrated with cameras and other hand detecting the
distance between two people whether they are maintain
distance or not .
Keywords : Covid_19, Image Processing, Mask, CNN , SSD.