SqueezeMaskNet: Real-Time Mask-Wearing Recognition for Edge Devices

SqueezeMaskNet: Real-Time Mask-Wearing Recognition for Edge Devices

This paper presents SqueezeMaskNet, a lightweight convolutional neural network designed for real-time recognition of proper and improper mask usage. The model classifies four categories: masks worn correctly, masks covering only the mouth, masks not covering, and no mask. SqueezeMaskNet integrates s...

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Bibliographic Details
Main Authors: Gibran Benitez-Garcia, Lidia Prudente-Tixteco, Jesus Olivares-Mercado, Hiroki Takahashi
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Big Data and Cognitive Computing
Subjects:
proper mask-wearing recognition
lightweight neural networks
SqueezeMaskNet
real-time inference
FineFM dataset
Online Access:https://www.mdpi.com/2504-2289/9/1/10
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