JOURNAL ARTICLE

Examining YOLO for real-time face-mask detection

S. HraybiM. Rizk

Year: 2022 Journal:   IET conference proceedings. Vol: 2021 (11)Pages: 571-575   Publisher: Institution of Engineering and Technology

Abstract

COVID-19 pandemic has been affecting human lives since it has been announced by the World Health Organization (WHO). SARS-CoV-2 virus is transferred be means of close contact. Wearing a face mask reduces the infection rate. Several works have been used to employ technology to alleviate its rapid and widespread. Currently, Artificial Intelligence (AI) plays an important role in classifying and detection objects. Several detection algorithms have been recently proposed. In this paper we investigate the performance of the latest versions of You Only Look Once (YOLO) real-time AI-based detector in detecting the wearing of masks.

Keywords:
Face detection Computer science Face (sociological concept) Artificial intelligence Coronavirus disease 2019 (COVID-19) Detector Pandemic Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Computer vision Facial recognition system Pattern recognition (psychology) Telecommunications Medicine

Metrics

4
Cited By
0.50
FWCI (Field Weighted Citation Impact)
0
Refs
0.59
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Face recognition and analysis
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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