Proceedings of the Multimedia University Engineering Conference (MECON 2022)

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Facial Mask Detection and Energy Monitoring Dashboard Using YOLOv5 and Jetson Nano

Authors
Nur Asyiqin binti Amir Hamzah1, Hadhrami bin Abd Ghani2, *, Hatem Fahd Al-Selwi1, Nawaid Hassan1, Azlan bin Abd Aziz1
1Multimedia University, Cyberjaya, Malaysia
2Universiti Malaysia Kelantan, Kota Bharu, Malaysia
*Corresponding author. Email: hadhrami.ag@umk.edu.my
Corresponding Author
Hadhrami bin Abd Ghani
Available Online 23 December 2022.
DOI
10.2991/978-94-6463-082-4_7How to use a DOI?
Keywords
Dashboard; Face Mask Detection; Counting; YOLOv5; Jetson Nano
Abstract

Health and energy are two important elements of life that must be constantly monitored. In the present pre-endemic or post-pandemic age, it is critical to monitor individuals to ensure that crucial standard operating procedures, such as wearing face masks, are followed. Furthermore, any measures to reduce energy use, particularly in public buildings that are now being utilised again in the post-pandemic context, are critical. As a result, this study presents a live dashboard method for tracking both energy and face mask wear. The detection system is built on a Jetson Nano device and is then interfaced to a live dashboard to monitor people who wear masks, including those who wear them incorrectly. The observed findings for the confusion matrix and F1 score are also shown. At the same time, the suggested visual detection system is also capable of monitoring the energy use in the building where the device is mounted.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the Multimedia University Engineering Conference (MECON 2022)
Series
Advances in Engineering Research
Publication Date
23 December 2022
ISBN
978-94-6463-082-4
ISSN
2352-5401
DOI
10.2991/978-94-6463-082-4_7How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Nur Asyiqin binti Amir Hamzah
AU  - Hadhrami bin Abd Ghani
AU  - Hatem Fahd Al-Selwi
AU  - Nawaid Hassan
AU  - Azlan bin Abd Aziz
PY  - 2022
DA  - 2022/12/23
TI  - Facial Mask Detection and Energy Monitoring Dashboard Using YOLOv5 and Jetson Nano
BT  - Proceedings of the Multimedia University Engineering Conference (MECON 2022)
PB  - Atlantis Press
SP  - 49
EP  - 57
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-082-4_7
DO  - 10.2991/978-94-6463-082-4_7
ID  - bintiAmirHamzah2022
ER  -