IoT based automated entry system with integration of Covid-19 symptom detection

IoT based automated entry system with integration of Covid-19 symptom detection

This final year design project is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2022.

書誌詳細
主要な著者: Ruhin, Rubaiyat Alam, Islam, Aminul, Mahi, Tahsin Muhtady
その他の著者: Mohsin, Dr. Abu S.M.
フォーマット: Project report
言語:English
出版事項: Brac University 2024
主題:
IoT
Entry system
Machine learning
Face-mask
Symptom detection
Internet of things
オンライン･アクセス:http://hdl.handle.net/10361/22106
id 10361-22106
record_format dspace
spelling 10361-221062024-01-10T21:02:57Z IoT based automated entry system with integration of Covid-19 symptom detection Ruhin, Rubaiyat Alam Islam, Aminul Mahi, Tahsin Muhtady Mohsin, Dr. Abu S.M. Department of Electrical and Electronic Engineering, Brac University IoT Entry system Machine learning Face-mask Symptom detection Internet of things This final year design project is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2022. Cataloged from PDF version of final year design project. Includes bibliographical references (page 62). COVID-19 has stopped the normal life since December 2019. We still cannot go out without worrying about getting infected by this deadly virus. Although offices and other work places have started to open, they have to maintain a health protocol set by WHO (World Health Organization). The main reason for this outbreak is the irresponsibility of the people and the authorities regarding maintaining the health protocols. As people do not maintain the health protocols properly, the safety in a work environment is breached and the virus starts to spread. After extended period of lockdown, the world is again returning to its old state by gradually opening the educational institutions and offices. So, to maintain the health protocol with notable integrity, the development of an Internet of Things (IoT)-based Automated Entry System with COVID-19 Symptom Detection is an attempt to reduce COVID-19's spread through making aware people of their conditions. This is accomplished by first developing an RFID-based entry and log data base, then employing a machine learning model to recognize face masks so that the device can detect unauthorized intruder and distinguish between mask and non-mask users. After that the non contact temperature sensor and an oximeter sensor will take physical data to cross check with COVID-19 symptoms. This way the device can determine the risk factor of being a COVID-19 virus carrier. Rubaiyat Alam Ruhin Aminul Islam Tahsin Muhtady Mahi B. Electrical and Electronic Engineering 2024-01-10T09:04:05Z 2024-01-10T09:04:05Z 2022 2022-01 Project report ID: 18121067 ID: 18121007 ID: 18121005 http://hdl.handle.net/10361/22106 en Brac University project reports are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 94 pages application/pdf Brac University
institution Brac University
collection Institutional Repository
language English
topic IoT
Entry system
Machine learning
Face-mask
Symptom detection
Internet of things
spellingShingle IoT
Entry system
Machine learning
Face-mask
Symptom detection
Internet of things
Ruhin, Rubaiyat Alam
Islam, Aminul
Mahi, Tahsin Muhtady
IoT based automated entry system with integration of Covid-19 symptom detection
description This final year design project is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2022.
author2 Mohsin, Dr. Abu S.M.
author_facet Mohsin, Dr. Abu S.M.
Ruhin, Rubaiyat Alam
Islam, Aminul
Mahi, Tahsin Muhtady
format Project report
author Ruhin, Rubaiyat Alam
Islam, Aminul
Mahi, Tahsin Muhtady
author_sort Ruhin, Rubaiyat Alam
title IoT based automated entry system with integration of Covid-19 symptom detection
title_short IoT based automated entry system with integration of Covid-19 symptom detection
title_full IoT based automated entry system with integration of Covid-19 symptom detection
title_fullStr IoT based automated entry system with integration of Covid-19 symptom detection
title_full_unstemmed IoT based automated entry system with integration of Covid-19 symptom detection
title_sort iot based automated entry system with integration of covid-19 symptom detection
publisher Brac University
publishDate 2024
url http://hdl.handle.net/10361/22106
work_keys_str_mv AT ruhinrubaiyatalam iotbasedautomatedentrysystemwithintegrationofcovid19symptomdetection
AT islamaminul iotbasedautomatedentrysystemwithintegrationofcovid19symptomdetection
AT mahitahsinmuhtady iotbasedautomatedentrysystemwithintegrationofcovid19symptomdetection
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