International Journal of Artificial Intelligence Research
Vol 6, No 1.1 (2022)

Development of Health Mask Identification Using YOLOv5 Architecture

Ahmad Fauzi (Universitas Buana Perjuangan Karawang)
Prasetyo Ajie (Universitas Buana Perjuangan Karawang)
Anis Fitri Nur Masruriyah (Universitas Buana Perjuangan Karawang)
Deden Wahiddin (Universitas Buana Perjuangan Karawang)
Hanny Hikmayanti (Universitas Buana Perjuangan Karawang)
April Lia Hananto (Universitas Buana Perjuangan Karawang)



Article Info

Publish Date
28 Mar 2023

Abstract

Coronavirus Disease 2019 (COVID-19) causes the state to suffer losses, especially in the health sector. WHO calls for controlling COVID-19 with health protocols that must be obeyed, one of which is wearing a mask. The use of masks can reduce the transmission of COVID-19. But there are still many people who ignore the protocol to use masks properly. So a system was created to detect the use of masks properly using the YOLOv5 architecture. Aiming to help regulate the use of masks in public areas or open places. The process of this research begins with data collection in the form of images. The collected image data will later be used as a dataset and model training will be carried out using the YOLOv5s model. The accuracy results obtained from this study reached 90.37%

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Journal Info

Abbrev

IJAIR

Publisher

Subject

Computer Science & IT Electrical & Electronics Engineering

Description

International Journal Of Artificial Intelligence Research (IJAIR) is a peer-reviewed open-access journal. The journal invites scientists and engineers throughout the world to exchange and disseminate theoretical and practice-oriented topics of Artificial intelligent Research which covers four (4) ...