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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)

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Impact Factor : 8.14

Issue per Year : 12

Volume Published : 7

Issue Published : 75

Article Submitted : 4303

Article Published : 2432

Total Authors : 6372

Total Reviewer : 533

Total Countries : 46

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Paper Title: Digital monitoring for health and hygiene using iot
Authors Name: Surbhi Sawant , Akshay Date , Sonal Shewale , Bhagyshree Dhangar
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IJRTI_183225
Published Paper Id: IJRTI2208025
Published In: Volume 7 Issue 8, August-2022
DOI:
Abstract: Now a day’s health care has become technology orientated.covid19 pandemic caused by novel coronavirus is continuously spreading until now all over the world. Humans face a drag of sudden death because of lack of medical health care at pandemic time. many precautionary measures have been taken to reduce the spread of this disease .In such areas where the epidemic is spread it always a better idea to monitor these patients using remote health monitoring technology. Therefore, there’s a desire to develop health and hygiene observation system. In this paper we restrict the growth of corona by finding out people who are not wearing a mask , who have high body temperature .So internet of things(IOT) based health monitoring system is current solution for it. Within the projected system, the sensors can sense the body temperature while mask detection is performed by computer vision techniques on camera equipped Raspberry Pi. Temperature and mask of coming body and these knowledge area unit transferred to computer through Raspberry Pi. The projected system is portable since it permits person to move freely and yet be monitored continuously. If any parameter values goas beyond the threshold value an alert is given to person .The model deals with detects mask in facial image and checks body temperature allows entry of people into facility. It is hoped that our study would be useful tool to reduce the spread of this disease for many countries in the world. Keywords- Covid19 , sensors, raspberry pi, computer vision, body temperature ,facial mask-detection
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Cite Article: "Digital monitoring for health and hygiene using iot", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.7, Issue 8, page no.145 - 148, August-2022, Available :http://www.ijrti.org/papers/IJRTI2208025.pdf
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ISSN: 2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publication Details: Published Paper ID: IJRTI2208025
Registration ID:183225
Published In: Volume 7 Issue 8, August-2022
DOI (Digital Object Identifier):
Page No: 145 - 148
Country: Airoli navi mumbai, Maharashtra, India
Research Area: Electronics & Communication Engg. 
Publisher : IJ Publication
Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2208025
Published Paper PDF: https://www.ijrti.org/papers/IJRTI2208025
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED
Journal Starting Year (ESTD) : 2016

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