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2 March 2023 COVID-19 approved mask detection using mathematical morphology
Dumitru Abrudan, Ana-Maria Drăgulinescu, Radu-Ovidiu Preda, Nicolae Vizireanu
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Proceedings Volume 12493, Advanced Topics in Optoelectronics, Microelectronics, and Nanotechnologies XI; 124932O (2023) https://doi.org/10.1117/12.2642041
Event: Advanced Topics in Optoelectronics, Microelectronics and Nanotechnologies 2022, 2022, Constanta, Romania
Abstract
Face detection has multiple applications including recognition, people identification and detection of facial expressions. With the current pandemic crisis and due to the measures imposed to prevent Covid-19 spreading, the wearing of a protection mask became mandatory. The object of interest of this paper is to detect the wearing of an approved mask face using Viola Jones algorithm, aggregate channel features (ACF) and mathematical morphology. COVID-19 virus spread through the air, so it is necessary that all the materials used for manufacturing of the face masks to filter properly the air, and only the approved face masks to be used in order to control the spread infection. The algorithm used for face detection is Viola Jones with notable success in real time face detection and real time impression speed in face detection. Identification of the approved face mask against Covid-19 virus is made with a trained ACF detector. Eye detection, necessary to check if the face mask is properly placed, is based on mathematical morphology operators. These operations used together are robust with high results on the image processing.
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Dumitru Abrudan, Ana-Maria Drăgulinescu, Radu-Ovidiu Preda, and Nicolae Vizireanu "COVID-19 approved mask detection using mathematical morphology", Proc. SPIE 12493, Advanced Topics in Optoelectronics, Microelectronics, and Nanotechnologies XI, 124932O (2 March 2023); https://doi.org/10.1117/12.2642041
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KEYWORDS
Facial recognition systems
Mathematical morphology
Detection and tracking algorithms
Sensors
Image processing
Image analysis
Eye
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