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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
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 118
Article Submitted : 21545
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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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| Author Reg. ID: |
IJRTI_183225
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| 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 for Research Trends and Innovation (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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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 |
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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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