Paper Title
Face Mask Detection Using Python
Article Identifiers
Authors
Shreyash Jagtap , Rahul Jagtap , Sahil Jagtap , Sejal Jagtap , Makarand Jagadale
Keywords
Face mask, Keras, openCV, Python, Tensorflow.
Abstract
Healthcare is experiencing a global emergency due to the COVID-19 epidemic. The major way that this virus spreads and offers a risk to others is through droplets that come from a person who has been infected with coronavirus. According to the World Health Organization, using a face mask in public places is one of the greatest strategies to avoid contracting an infection. In this project, we offer a technique to identify face masks on humans using TensorFlow and OpenCV. A bounding box above the subject's face indicates whether or not a mask is being worn. It can recognise a face and a mask moving together as a surveillance task performance.
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How To Cite (APA)
Shreyash Jagtap, Rahul Jagtap, Sahil Jagtap, Sejal Jagtap, & Makarand Jagadale (December-2022). Face Mask Detection Using Python. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 7(12), a254-a256. https://ijnrd.org/papers/IJNRD2212037.pdf
Issue
Volume 7 Issue 12, December-2022
Pages : a254-a256
Other Publication Details
Paper Reg. ID: IJNRD_184490
Published Paper Id: IJNRD2212037
Downloads: 000121988
Research Area: Science & Technology
Country: Pune, Maharashtra, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2212037.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2212037
About Publisher
Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)
ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016
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Licence
This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition
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Current Issue: Volume 10 | Issue 10 | October 2025
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