<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>The Covid 19 (coronavirus) pandemic has become one of the most lethal health crises worldwide. This virus gets transmitted from a person by respiratory droplets when they sneeze or when they speak. According to leading and well-known scientists, wearing face masks and maintaining six feet of social distance are the most substantial protections to limit the virus’s spread. In the proposed model we have used the Convolutional Neural Network (CNN) algorithm of Deep Learning (DL) to ensure efficient real-time mask detection. We have divided the system into two parts—1. Train Face Mask Detector 2. Apply Face Mask Detector—for better understanding. This is a realtime application that is used to discover or detect the person who is wearing a mask at the proper position or not, with the help of camera detection. The system has achieved an accuracy of 99% after being trained with the dataset, which contains around 1376 images of width and height 224×224 and also gives the alarm beep message after the detection of no mask or improper mask usage in a public place.</p>
</abstract>

The Covid 19 (coronavirus) pandemic has become one of the most lethal health crises worldwide. This virus gets transmitted from a person by respiratory droplets when they sneeze or when they speak. According to leading and well-known scientists, wearing face masks and maintaining six feet of social distance are the most substantial protections to limit the virus’s spread. In the proposed model we have used the Convolutional Neural Network (CNN) algorithm of Deep Learning (DL) to ensure efficient real-time mask detection. We have divided the system into two parts—1. Train Face Mask Detector 2. Apply Face Mask Detector—for better understanding. This is a realtime application that is used to discover or detect the person who is wearing a mask at the proper position or not, with the help of camera detection. The system has achieved an accuracy of 99% after being trained with the dataset, which contains around 1376 images of width and height 224×224 and also gives the alarm beep message after the detection of no mask or improper mask usage in a public place.

Real-Time Face Mask Detection in Mass Gatherings to Reduce Covid-19 Spread

Jaypee University of Engineering & Technology

Journal of Automation, Mobile Robotics and Intelligent Systems

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

{"article-title":"Real-Time Face Mask Detection in Mass Gatherings to Reduce Covid-19 Spread"}

The Covid 19 (coronavirus) pandemic has become one of the most lethal health crises worldwide. This virus gets transmitted from a person by respiratory...

Real-Time Face Mask Detection in Mass Gatherings to Reduce Covid-19 Spread

Publié en ligne: 26 déc. 2023

Pages: 51 - 58

Reçu: 12 août 2022

Accepté: 29 sept. 2022

DOI: https://doi.org/10.14313/jamris/1-2023/7

Mots clés
Covid, Machine learning, Face mask detection, Deep Learning

© 2023 Swapnil Soner et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Real-Time Face Mask Detection in Mass Gatherings to Reduce Covid-19 Spread

Publié en ligne: 26 déc. 2023

Pages: 51 - 58

Reçu: 12 août 2022

Accepté: 29 sept. 2022

DOI: https://doi.org/10.14313/jamris/1-2023/7

Mots clésCovid, Machine learning, Face mask detection, Deep Learning

© 2023 Swapnil Soner et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Mots clés
Covid, Machine learning, Face mask detection, Deep Learning