PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic
Vol. 12 No. 1 (2024): March 2024

Real Time Mask Detection Using Viola Jones Method

Guslianto, Safrida Ika (Unknown)
Khairunnas, Khairunnas (Unknown)
Khusna, Tachiyya Nailal (Unknown)
Jannah, Miftahul (Unknown)



Article Info

Publish Date
31 Mar 2024

Abstract

The coronavirus disease (COVID-19) pandemic requires us to wear masks when doing direct contact with other people. The use of masks is mandatory in some places to break the chain of the spread of the COVID-19 virus. The spread of this virus occurs through the respiratory tract. Wearing masks is a form of our efforts to suppress the spread of this virus. This study detects human face objects in a room to determine faces that use masks and faces without using masks. The research was conducted using the Viola Jones Method in the OpenCV-Python library. This paper resulted in a good accuracy of the tests carried out to obtain 95.6% results. This detection agent has been able to perform face recognition with the condition of using a mask and the face without using a mask. On the display screen will show the face recognition accuracy in real time of the detected face object.

Copyrights © 2024






Journal Info

Abbrev

piksel

Publisher

Subject

Computer Science & IT Decision Sciences, Operations Research & Management

Description

Jurnal PIKSEL diterbitkan oleh Universitas Islam 45 Bekasi untuk mewadahi hasil penelitian di bidang komputer dan informatika. Jurnal ini pertama kali diterbitkan pada tahun 2013 dengan masa terbit 2 kali dalam setahun yaitu pada bulan Januari dan September. Mulai tahun 2014, Jurnal PIKSEL mengalami ...