A Survey on Detection of Face Mask and Social Distancing Using Deep Learning
i-Manager's Journal on Information Technology
; 10(2):22-29, 2021.
Article
in English
| ProQuest Central | ID: covidwho-1631688
ABSTRACT
COVID-19, also known as the Corona Virus, caused drastic changes in civilization, eventually leading to a pandemic. Many businesses were affected by the rapidly spreading Corona virus. The focus of this research is on finding a solution to avoid the transit rate. The current research focuses on the many fundamental causes of illness propagation and the technological systems' contributions to disease control. Wearing a facemask and maintaining social distance are two frequent ways to avoid the rapid spread of the disease. To determine whether or not social distancing and face mask protection are being employed, image and video processing are used. In this proposed system, we will see how we may monitor social distancing and implement face mask detection in public areas and workplaces using Python, Computer Vision and Deep Learning.
Full text:
Available
Collection:
Databases of international organizations
Database:
ProQuest Central
Type of study:
Observational study
Language:
English
Journal:
I-Manager's Journal on Information Technology
Year:
2021
Document Type:
Article
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