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primary topic: FMDNet: An Efficient System for Face Mask Detection Based on Lightweight Model during COVID-19 Pandemic in Public Areas

FMDNet: An Efficient System for Face Mask Detection Based on Lightweight Model during COVID-19 Pandemic in Public Areas
type: AcademicArticle
type: Article
abstract: A new artificial intelligence-based approach is proposed by developing a deep learning (DL) model for identifying the people who violate the face mask protocol in public places. To achieve this goal, a private dataset was created, including different face images with and without masks. The proposed model was trained to detect face masks from real-time surveillance videos. The proposed face mask detection (FMDNet) model achieved a promising detection of 99.0% in terms of accuracy for identifying violations (no face mask) in public places. The model presented a better detection capability compared to other recent DL models such as FSA-Net, MobileNet V2, and ResNet by 24.03%, 5.0%, and 24.10%, respectively. Meanwhile, the model is lightweight and had a confidence score of 99.0% in a resource-constrained environment. The model can perform the detection task in real-time environments at 41.72 frames per second (FPS). Thus, the developed model can be applicable and useful for governments to maintain the rules of the SOP protocol.
date: 2023-07
volume: 23
issue: 13
is part of: Sensors
status: peerReviewed
status: published
author list: authors
type: EPrint
type: ArticleEPrint
is part of: repository
has document: FMDNet: An Efficient System for Face Mask Detection Based on Lightweight Model during COVID-19 Pandemic in Public Areas (Texto)
has document: FMDNet: An Efficient System for Face Mask Detection Based on Lightweight Model during COVID-19 Pandemic in Public Areas (Otro)
subject: Engineering

FMDNet: An Efficient System for Face Mask Detection Based on Lightweight Model during COVID-19 Pandemic in Public Areas (Texto)
type: Document
has file: sensors-23-06090.pdf
has part: sensors-23-06090.pdf

Sensors
type: Collection
issn: 14248220

Abdullah Y. Muaad
type: Person
given name: Abdullah Y.
family name: Muaad

Salabat Khan
type: Person
given name: Salabat
family name: Khan

Debora L. Ramírez-Vargas
type: Person
given name: Debora L.
family name: Ramírez-Vargas

Md Belal Bin Heyat
type: Person
given name: Md Belal
family name: Bin Heyat

J. V. Bibal Benifa
type: Person
given name: J. V. Bibal
family name: Benifa

Isabel de la Torre Díez
type: Person
given name: Isabel de la Torre
family name: Díez

Rajat Mehrotra
type: Person
given name: Rajat
family name: Mehrotra

Ángel Gabriel Kuc Castilla
type: Person
given name: Ángel Gabriel
family name: Kuc Castilla

Faijan Akhtar
type: Person
given name: Faijan
family name: Akhtar

Channabasava Chola
type: Person
given name: Channabasava
family name: Chola

Mohd Ammar Bin Hayat
type: Person
given name: Mohd Ammar Bin
family name: Hayat

Hany S. Hussein
type: Person
given name: Hany S.
family name: Hussein

FMDNet: An Efficient System for Face Mask Detection Based on Lightweight Model during COVID-19 Pandemic in Public Areas (Otro)
type: Document
is version of: FMDNet: An Efficient System for Face Mask Detection Based on Lightweight Model during COVID-19 Pandemic in Public Areas (Texto)
is volatile version of: FMDNet: An Efficient System for Face Mask Detection Based on Lightweight Model during COVID-19 Pandemic in Public Areas (Texto)
is index codes version of: FMDNet: An Efficient System for Face Mask Detection Based on Lightweight Model during COVID-19 Pandemic in Public Areas (Texto)
has file: indexcodes.txt
has part: indexcodes.txt

HTML Summary of #7793 FMDNet: An Efficient System for Face Mask Detection Based on Lightweight Model during COVID-19 Pandemic in Public Areas
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primary topic: FMDNet: An Efficient System for Face Mask Detection Based on Lightweight Model during COVID-19 Pandemic in Public Areas

Engineering
type: Concept
preferred label: Ingeniería @es