2023
DOI: 10.52465/joiser.v1i2.175
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Mask Detection System with Computer Vision-Based on CNN and YOLO Method Using Nvidia Jetson Nano

Ade Anggian Hakim,
Elmo Juanara,
Rispandi Rispandi

Abstract: Health is an essential aspect of life. The World Health Organization (WHO) has officially declared the Corona Virus (Covid-19) a global pandemic that has spread to Indonesia. For preventive measures against Covid-19, the Indonesian government is trying to deal with the Covid-19 pandemic with 3M health protocol aimed at community activities, such as Memakai Masker (wearing masks), Mencuci Tangan (washing hands), and Menjaga Jarak (maintaining distance). In this study, software and hardware design was carried ou… Show more

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Cited by 6 publications
(4 citation statements)
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“…The study provides valuable insights for developers seeking enhanced performance in GPU database applications. Hakim et al (2023) offered a novel Nvidia Jetson Nano-powered system designed to enhance mask enforcement during the pandemic. By combining the YOLO algorithm with mask detection capabilities, this system achieves an impressive 99.94% accuracy.…”
Section: Literature Reviewmentioning
confidence: 99%
“…The study provides valuable insights for developers seeking enhanced performance in GPU database applications. Hakim et al (2023) offered a novel Nvidia Jetson Nano-powered system designed to enhance mask enforcement during the pandemic. By combining the YOLO algorithm with mask detection capabilities, this system achieves an impressive 99.94% accuracy.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Visual Geometry Group (VGG-16) is an AlexNet that has undergone modifications to the convolution filter, where the filter used is 3x3 smaller than the 5x5 or 11x11 filters [9]. AlexNet is a groundbreaking deep neural network developed in 2012 for image classification and won the ImageNet LSFRC-2010 competition with 62 million trainable parameters [29].…”
Section: Deep Learning Architecture Vgg-16mentioning
confidence: 99%
“…There are several past research addressing the same problem of batik patterns classification, for example Deep Learning approach [18]. Deep Learning(DL)as AI technology (Artificial Intelligence) which became a hot topic, and many creating a detection of objects, faces, and several other types of health innovation development [19]. In this context, Convolutional Neural Network (CNN) has garnered attention for its ability to recognize patterns in visual images such as pictures [20].…”
Section: Introductionmentioning
confidence: 99%