UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
Call for Paper
Volume 11 | Issue 3 | March 2024

JETIREXPLORE- Search Thousands of research papers



WhatsApp Contact
Click Here

Published in:

Volume 9 Issue 5
May-2022
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

Unique Identifier

Published Paper ID:
JETIR2205878


Registration ID:
402779

Page Number

h615-h619

Share This Article


Jetir RMS

Title

COVID-19 INDOOR SAFETY MONITORING SYSTEM USING IoT

Abstract

A COVID-19 pandemic has been caused by a global health epidemic. Wearing a face mask in public places and wherever else is the most effective safety tool. The COVID-19 outbreak compelled governments all over the world to establish lockdowns in order to stop the virus from spreading. According to surveys, wearing a face mask in public settings considerably minimizes the chance of transmission. An IoT-enabled gadget for body temperature monitoring, face mask detection and social distancing is presented in this study. Any commercial mall, hotel, or apartment entry can benefit from the proposed approach. As a result, a cost-effective and dependable approach of leveraging technology to create a healthy atmosphere has been developed. Face Mask Detection and social distancing techniques utilizing OpenCV software are used to evaluate the proposed system. A non-contact temperature sensor is also used to measure the individual’s body temperature. This proposed method can stop COVID-19 from spreading by utilizing Internet of Things (IoT) technologies. It is a low-cost IoT-based solution that focuses on the most common indoor measures to help organizations follow the COVID-19 safety standards and guidelines in order to limit disease spread while it is present. We chose a Raspberry Pi controller board with a contactless temperature sensor for the first scenario, and a Raspberry Pi single-board computer with a camera for the second scenario because of their compact size and affordability.

Key Words

Internet of Things (IoT), Temperature measurement, Social distancing check, Mask detection, Raspberry Pi, MLX90614 sensor, Open CV, RFID Module, Relay

Cite This Article

"COVID-19 INDOOR SAFETY MONITORING SYSTEM USING IoT", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 5, page no.h615-h619, May-2022, Available :http://www.jetir.org/papers/JETIR2205878.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"COVID-19 INDOOR SAFETY MONITORING SYSTEM USING IoT", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 5, page no. pph615-h619, May-2022, Available at : http://www.jetir.org/papers/JETIR2205878.pdf

Publication Details

Published Paper ID: JETIR2205878
Registration ID: 402779
Published In: Volume 9 | Issue 5 | Year May-2022
DOI (Digital Object Identifier):
Page No: h615-h619
Country: Coimbatore, Tamilnadu, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


Preview This Article


Downlaod

Click here for Article Preview

Download PDF

Downloads

000275

Print This Page

Current Call For Paper

Jetir RMS