Paper
21 August 2023 Face mask recognition during KYC generation from a live photo detection methodology
Debalina Barua, Mumtahina Ahsan, Moumita Khandaker, H. M. Zahidual Amin, Md Humaion Kabir Mehedi, Annajiat Alim Rasel
Author Affiliations +
Proceedings Volume 12783, International Conference on Images, Signals, and Computing (ICISC 2023); 127830D (2023) https://doi.org/10.1117/12.3002128
Event: International Conference on Images, Signals, and Computing (ICISC2023), 2023, Chengdu, China
Abstract
Post Pandemic world of Covid-19 has set human race to a transitioned frequency. Through this transitional period the world needs to serve itself with much needed technology and services. The need of time is now to build the system compatible to the crisis we face together that ensures a risk-free safe environment. New regulations and measures have been established in order to provide safety that includes regular wear of face mask. It is necessary to strictly execute this new rule in public places that helps reducing the spread of virus. Along the mask, a mask detector system comes hand in hand playing a vital role. On official image recording sectors, the mask detection is a requirement to ensure the identity of a personnel. This surveillance method enables the alert system to remove the mask while taking any photograph for documentation that demands clear photographic identity. In this paper, we have briefly discussed this approach of face mask detection system while capturing a photo using deep learning algorithms.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Debalina Barua, Mumtahina Ahsan, Moumita Khandaker, H. M. Zahidual Amin, Md Humaion Kabir Mehedi, and Annajiat Alim Rasel "Face mask recognition during KYC generation from a live photo detection methodology", Proc. SPIE 12783, International Conference on Images, Signals, and Computing (ICISC 2023), 127830D (21 August 2023); https://doi.org/10.1117/12.3002128
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KEYWORDS
Facial recognition systems

Data modeling

Education and training

Machine learning

Deep learning

Detection and tracking algorithms

Image classification

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