Rapid Face Mask Detection and Person Identification Model Based on Deep Neural Networks

Abdullah Ahmad Khan*, Mohd Belal, Ghufran Ullah

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterScientificpeer-review

Abstract

As COVID-19 has been constantly getting mutated and in three or four months a new variant gets introduced to us and it comes with more deadly problems. The things that prevent us from getting Covid are getting vaccinated and wearing a face mask. In this paper, we have implemented a new Face Mask Detection and Person Recognition model named Insight face which is based on SoftMax loss classification algorithm Arc Face loss and named it as Rapid Face Detection and Peron Identification Model based on Deep Neural Networks (RFMPI-DNN) to detect face mask and person identity rapidly as compared to other models available. To compare our new model, we have used previous MobileNet_V2 model and face recognition module for effective comparison on the basis of time. The proposed model implemented in the system has outperformed the model compared in this paper in every aspect.
Original languageEnglish
Title of host publicationInternational Conference on IoT, Intelligent Computing and Security
Subtitle of host publicationSelect Proceedings of IICS 2021
PublisherSpringer
Pages117-133
ISBN (Electronic)978-981-19-8136-4
ISBN (Print)978-981-19-8135-7
DOIs
Publication statusPublished - 2023
MoE publication typeA3 Book section, Chapters in research books

Publication series

NameLecture notes in electrical engineering
Volume982
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

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