Open AccessVideo Analytics Solution for COVID-19
Author(s) -
Prerna Gupta Dr. Bhoomi Gupta and Vandana Choudhary
Publication year - 2020
Publication title -
international journal of modern trends in science and technology
Language(s) - English
Resource type - Journals
ISSN - 2455-3778
DOI - 10.46501/ijmtst061227
Subject(s) - pandemic , covid-19 , analytics , computer science , face (sociological concept) , identifier , transmission (telecommunications) , creed , artificial intelligence , internet privacy , data science , telecommunications , sociology , medicine , political science , social science , disease , pathology , infectious disease (medical specialty) , law , programming language
Amid the global crisis of the Corona virus pandemic, new demands have emerged in the market which usesVideo Analytics for finding solutions to halt the transmission of the Virus. The COVID - 19 pandemic isdevastating mankind irrespective of caste, creed, gender, and religion. Until a vaccine is discovered, weshould do our bit to constrain the expanse of the corona virus. Using a face mask can undoubtedly help inmanaging the spread of the virus. The face mask detector, a video analytic solution uses MobileNetV2 model,deep learning techniques to successfully test whether a person is wearing a face mask or not. The face maskidentifier is least complex in structure and gives quick results and hence can be used in CCTV footage todetect whether a person is wearing a mask perfectly so that he does not pose any danger to others. Massscreening is possible with video analytics and hence can be used in crowded places like Airports, HospitalsEntrance Exam Centers, Schools and Colleges.