Open AccessMask Detection and Epidemic Prevention System
Author(s) -
Can Wang,
Leping Bu,
HuanYu Xiao,
Kui Qin
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1894/1/012019
Subject(s) - covid-19 , pandemic , transmission (telecommunications) , public health , computer security , computer science , telecommunications , business , medical emergency , environmental health , medicine , virology , nursing , infectious disease (medical specialty) , disease , pathology , outbreak
The rapid spread of the coronavirus (COVID-19) has led the world into a huge pandemic crisis. As of November, more than 50 million people have been infected. In response to the transmission characteristics of COVID-19, the World Health Organization (WHO) has identified wearing masks as the most effective anti-epidemic measure in public places and crowded places. In order to ensure that people entering these areas wear masks, this paper designs a complete epidemic prevention system. Utilizes deep learning, embedded technology and LoRa wireless communication. It is characterized by low cost and flexible communication methods, which can well meet actual epidemic prevention needs.