Paper Title
Face mask detection and safe social distancing in public areas for COVID+19
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Abstract
The global pandemic of COVID-19 has severely impacted the world and has now infected more than eight million people worldwide. Wearing face masks and following safe social distancing are two of the enhanced safety protocols need to be followed in public places in order to prevent the spread of the virus. To create safe environment that contributes to public safety. The proposed work has an efficient computer vision based approach focused on the real-time automated monitoring of people to detect both safe social distancing and face masks in public places by implementing the model on raspberry pi4 to monitor activity and detect violations through camera. After detection of breach, the raspberry pi4 sends alert signal to control center at state police headquarters and also give alarm to public. In this proposed system modern deep learning algorithm have been mixed with geometric techniques for building a robust modal which covers three aspects of detection, tracking, and validation. Thus, the proposed system favors the society by saving time and helps in lowering the spread of corona virus.
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How To Cite (APA)
Dr. T Nalini, Dr. A. Joshi , & Shalini Rai (March-2022). Face mask detection and safe social distancing in public areas for COVID+19. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 7(3), 846-855. https://ijnrd.org/papers/IJNRD2203106.pdf
Issue
Volume 7 Issue 3, March-2022
Pages : 846-855
Other Publication Details
Paper Reg. ID: IJNRD_180752
Published Paper Id: IJNRD2203106
Downloads: 000122254
Research Area: Information TechnologyÂ
Author Type: Indian Author
Country: Chennai, Tamilnadu , Tamilnadu , India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2203106.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2203106
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