📞 +91-7667918914 | âœ‰ī¸ ijarcce@gmail.com
IJARCCE Logo
International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 11, ISSUE 7, JULY 2022

A Study of Various Techniques Used for Detection of Face-Masks

Pratiksha Surwade, Prof. Girish Kulkarni

DOI: 10.17148/IJARCCE.2022.11723

Abstract: Infectious disease Coronavirus disease (COVID-19) has turned into a global pandemic as per the announcement by World Health Organization (WHO) on 30th Jan 2020. A portion of the areas the sicknesses become broadly fanned out due to ill-advised wearing of facial cover. So, WHO pronounced wearing the mask in swarmed regions as an anticipation technique and thus we are forced to use a protective face mask checking framework. The advancement of AI and picture handling examination present strategies for the detection of the presence of face masks. Utilizing image processing and AI strategy are utilized to figure out face mask detection. Face mask recognition can be done through different strategies, this technique can be helpful for surveillance purposes may be at the entrance of Cinema halls, airports, institutions, organizations, etc. Here we examined different profound learning methods utilized for sensing the presence of face masks.

Keywords: Face Mask, Face Mask Detector, Covid-19, Convolutional Neural Network.

How to Cite:

[1] Pratiksha Surwade, Prof. Girish Kulkarni, “A Study of Various Techniques Used for Detection of Face-Masks,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2022.11723