Mask Detection and Epidemic Prevention System

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