IOT Based Face mask identification and temperature detection

  • D. SWAPNA, Dr. SHAIK SHUBHANI
Keywords: Covid-19, deep learning, Face mask detection, temperature detection, Convolutional neural network.

Abstract

Face mask identification has increased quickly after corona emphatic last years for various law enforcement security schemes and other business uses.  In the present situation due to Covid-19, the requirement for face mask identification applications, identification of temperature and hand sanitizing is directly in high need for Railway Entrance, in the office Entrance, Airport Entrance, Museums, and Amusement Parks, Also in the other Public Places and companies to guarantee safety. The face appears to be growing for others to culminate in a new approach to discovering a new line and suggests defining a face mask. The recommended method for classifying face mask identification using real-time COVID-19 care for human actions. The proposed method is divided into strategies. The first approach uses a temperature sensor for cycling above the current tire temperature and mechanically spraying disinfectant. In the second technique, the work is intended to allow a safety device for people to stay away from COVID-19 by detecting a face mask. Finally, we proposed continuous monitoring of human attitudes and store people's records on the server using the in-depth knowledge of the idea.

Published
2021-10-01
How to Cite
Dr. SHAIK SHUBHANI, D. S. (2021). IOT Based Face mask identification and temperature detection. Design Engineering, 15759-15768. Retrieved from http://www.thedesignengineering.com/index.php/DE/article/view/4945
Section
Articles