Monitoring COVID-19 environment: a real-time facial mask detection using YOLO models

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Pandiyan, P. and Thangaraj, R. and Vadivel, Balasubramaniam and Manavalasundaram, V. K. and Balakrishnan, S. (2025) Monitoring COVID-19 environment: a real-time facial mask detection using YOLO models. Research on Biomedical Engineering, 41 (1). ISSN 24464740; 24464732

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Abstract

Purpose: The rapid spread of COVID-19 has resulted in significant harm globally...

Item Type: Article
Additional Information: Cited by: 2
Uncontrolled Keywords: Coronavirus; Masks; Deep learning; Detection speed; Face masks; Facial mask detection; Objects detection; Real- time; Real-time object detection; Recognition accuracy; World Health Organization; YOLO model; COVID-19
Subjects: Engineering > Biomedical Engineering
Divisions: Engineering and Technology > Aarupadai Veedu Institute of Technology, Chennai, India > Computer Science and Engineering
Depositing User: Unnamed user with email techsupport@mosys.org
Date Deposited: 26 Nov 2025 09:43
Last Modified: 26 Nov 2025 09:43
URI: https://ir.vmrfdu.edu.in/id/eprint/262

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