Portable Face Mask Detector Using Jetson Nano and USB Webcam QHD Based on OpenCV

Hadi Supriyanto, Ruminto Subekti, Adri Almas Afwansyah

2022

Abstract

ARI (Acute Respiratory Infection) is still a major cause of infectious disease morbidity and mortality in this world. The mortality rate for ARI reaches 4.25 million every year in the world. Similar to ARI, Covid-19 is also a contagious disease. By implementing health protocols, especially the use of masks, can reduce the risk of contagious disease transmission so that all activities can run well. The portable face mask detector is needed to prevent ARI and Covid-19. It can monitor and ensure that mask-wearing rule is followed by each individual. The face mask detector can work with the YOLO algorithm. The research was conducted using a USB webcam to capture images, a USB speaker, and a Jetson Nano as an image processing device with the Yolov4-tiny algorithm to detect masked and non-masked objects. The developed system successfully detects the use of masks when the distance between the object and the camera varies from 2.68 m to 5.38 m and the position of the object’s face is 110(̊right to left) and 83.33(̊up and down). The system alerts each time a subject is not wearing a mask. The system can detect masked and non-masked objects with an error value of 0,67%.

Paper Citation

in Harvard Style

Supriyanto H., Subekti R. and Almas Afwansyah A. (2022). Portable Face Mask Detector Using Jetson Nano and USB Webcam QHD Based on OpenCV. In Proceedings of the 5th International Conference on Applied Science and Technology on Engineering Science - Volume 1: iCAST-ES; ISBN 978-989-758-619-4, SciTePress, pages 409-416. DOI: 10.5220/0011811300003575

in Bibtex Style

@conference{icast-es22,
author={Hadi Supriyanto and Ruminto Subekti and Adri Almas Afwansyah},
title={Portable Face Mask Detector Using Jetson Nano and USB Webcam QHD Based on OpenCV},
booktitle={Proceedings of the 5th International Conference on Applied Science and Technology on Engineering Science - Volume 1: iCAST-ES},
year={2022},
pages={409-416},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011811300003575},
isbn={978-989-758-619-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 5th International Conference on Applied Science and Technology on Engineering Science - Volume 1: iCAST-ES
TI - Portable Face Mask Detector Using Jetson Nano and USB Webcam QHD Based on OpenCV
SN - 978-989-758-619-4
AU - Supriyanto H.
AU - Subekti R.
AU - Almas Afwansyah A.
PY - 2022
SP - 409
EP - 416
DO - 10.5220/0011811300003575
PB - SciTePress