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Analysis on custom dataset of smart crowd Covid monitoring system using NVIDIA Jetson Nano and Yolov5

COVID-19 have killed a total of 5 million people around the world since the pandemic started and the numbers are still counting until today. Lots of efforts have been done to fight the pandemic and the most effective effort medically is the COVID-19 vaccine. This project that has been done is one of...

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Main Author: Muhamad Aiman, Suhaizi
Format: Undergraduates Project Papers
Language:English
Published: 2022
Subjects:
T Technology (General)
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://umpir.ump.edu.my/id/eprint/42496/1/MUHAMAD%20AIMAN%20BIN%20SUHAIZI.pdf
http://umpir.ump.edu.my/id/eprint/42496/
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spelling my.ump.umpir.424962024-09-04T01:21:55Z http://umpir.ump.edu.my/id/eprint/42496/ Analysis on custom dataset of smart crowd Covid monitoring system using NVIDIA Jetson Nano and Yolov5 Muhamad Aiman, Suhaizi T Technology (General) TK Electrical engineering. Electronics Nuclear engineering COVID-19 have killed a total of 5 million people around the world since the pandemic started and the numbers are still counting until today. Lots of efforts have been done to fight the pandemic and the most effective effort medically is the COVID-19 vaccine. This project that has been done is one of the many efforts to also fight the virus. Although this effort does not involve anything medical, it may be relevant since the system can help to ensure the people to wear a face mask when going to public places. Wearing a face mask is another good effort to fight the spread or transmission of the virus as the virus spreads through the air when people inhale contaminated air by small airborne particles and droplets. The system's ability to detect the usage of a face mask on a person can produce an environment where everyone wears a face mask properly. The output can also be easily accessed by the authorities so people who disobeys the SOP can be taken action immediately. It is common to punish law breakers and it will also be fine to do so to people who does not wear face mask as it is a new law since the pandemic. This paper also explains in detail on how to create a custom dataset for the system as an analysis on different types of custom datasets have been done to obtain the best result of face mask detection using Deep Leaming method. 2022-02 Undergraduates Project Papers NonPeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/42496/1/MUHAMAD%20AIMAN%20BIN%20SUHAIZI.pdf Muhamad Aiman, Suhaizi (2022) Analysis on custom dataset of smart crowd Covid monitoring system using NVIDIA Jetson Nano and Yolov5. Faculty of Electrical and Electronic Engineering Technology, Universiti Malaysia Pahang Al-Sultan Abdullah.
institution Universiti Malaysia Pahang Al-Sultan Abdullah
building UMPSA Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang Al-Sultan Abdullah
content_source UMPSA Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic T Technology (General)
TK Electrical engineering. Electronics Nuclear engineering
spellingShingle T Technology (General)
TK Electrical engineering. Electronics Nuclear engineering
Muhamad Aiman, Suhaizi
Analysis on custom dataset of smart crowd Covid monitoring system using NVIDIA Jetson Nano and Yolov5
description COVID-19 have killed a total of 5 million people around the world since the pandemic started and the numbers are still counting until today. Lots of efforts have been done to fight the pandemic and the most effective effort medically is the COVID-19 vaccine. This project that has been done is one of the many efforts to also fight the virus. Although this effort does not involve anything medical, it may be relevant since the system can help to ensure the people to wear a face mask when going to public places. Wearing a face mask is another good effort to fight the spread or transmission of the virus as the virus spreads through the air when people inhale contaminated air by small airborne particles and droplets. The system's ability to detect the usage of a face mask on a person can produce an environment where everyone wears a face mask properly. The output can also be easily accessed by the authorities so people who disobeys the SOP can be taken action immediately. It is common to punish law breakers and it will also be fine to do so to people who does not wear face mask as it is a new law since the pandemic. This paper also explains in detail on how to create a custom dataset for the system as an analysis on different types of custom datasets have been done to obtain the best result of face mask detection using Deep Leaming method.
format Undergraduates Project Papers
author Muhamad Aiman, Suhaizi
author_facet Muhamad Aiman, Suhaizi
author_sort Muhamad Aiman, Suhaizi
title Analysis on custom dataset of smart crowd Covid monitoring system using NVIDIA Jetson Nano and Yolov5
title_short Analysis on custom dataset of smart crowd Covid monitoring system using NVIDIA Jetson Nano and Yolov5
title_full Analysis on custom dataset of smart crowd Covid monitoring system using NVIDIA Jetson Nano and Yolov5
title_fullStr Analysis on custom dataset of smart crowd Covid monitoring system using NVIDIA Jetson Nano and Yolov5
title_full_unstemmed Analysis on custom dataset of smart crowd Covid monitoring system using NVIDIA Jetson Nano and Yolov5
title_sort analysis on custom dataset of smart crowd covid monitoring system using nvidia jetson nano and yolov5
publishDate 2022
url http://umpir.ump.edu.my/id/eprint/42496/1/MUHAMAD%20AIMAN%20BIN%20SUHAIZI.pdf
http://umpir.ump.edu.my/id/eprint/42496/
_version_ 1822924650792878080
score 13.244413

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