Iot based temperature and mask scan entry system
N. Pavani, Ch. V. Lahari priya, K. Sunil, B.Rambabu
The project's main goal is to detect the presence of a face mask on human faces, as well as the person's body temperature, in real-time video and photos. Through its decision-making process, Artificial Intelligence has showed promise in health care. Wearing face masks and maintaining safe social distance are the two key procedures that must be followed in public settings to prevent the virus from spreading further. In order to build our face mask detection, we applied both machine learning and deep learning. We offer a dynamic Computer Vision-based automated solution system focusing on real-time face surveillance of people in public areas to detect face mask protocol violations with an embedded Pi camera and to monitor body temperature in order to provide a safe, COVID-19 healthy environment. If the person is wearing a face mask and their body temperature is under WHO norms, a security clearance procedure is in place that will enable them to enter. In this manner, the previously mentioned approach will profit society by saving time and forestalling the transmission of COVID. As a result, the above approach will benefit society by saving time and reducing the spread of the corona virus. This can be used in hallways, offices, colleges, and schools, among other places.
Article Details
Unique Paper ID: 154716

Publication Volume & Issue: Volume 8, Issue 12

Page(s): 169 - 173
Article Preview & Download

Share This Article

Conference Alert


AICTE Sponsored National Conference on Smart Systems and Technologies

Last Date: 25th November 2023

SWEC- Management


Last Date: 7th November 2023

Go To Issue

Call For Paper

Volume 10 Issue 1

Last Date for paper submitting for March Issue is 25 June 2023

About Us enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on

Social Media

Google Verified Reviews