Open AccessOpenCV Using on a Single Board Computer for Incorrect Facemask-Wearing Detection and Capturing
Author(s) -
- Julham,
Meryatul Husna,
Arif Ridho Lubis
Publication year - 2022
Publication title -
jite (journal of informatics and telecommunication engineering)
Language(s) - English
Resource type - Journals
eISSN - 2549-6255
pISSN - 2549-6247
DOI - 10.31289/jite.v5i2.6118
Subject(s) - face detection , computer vision , computer science , face (sociological concept) , software , artificial intelligence , computer graphics (images) , detector , image processing , object class detection , facial recognition system , image (mathematics) , feature extraction , operating system , sociology , telecommunications , social science
OpenCV (Open Source Computer Vision Library) is a software library intended for real-time dynamic image processing, created by Intel. In this study, the library will be used to detect the face, nose and mouth. Furthermore, the system is equipped with the knowledge that if the mouth and nose or one of them is detected, then the face has not used the mask correctly and the system records the face. The system is supported by an image capture device in the form of a camcorder, a processing device in the form of a single board computer, such as a Raspberry Pi and a display device in the form of a monitor. And the result is that the system is able to make a decision whether the face is wearing a mask correctly or not. By means of labeling around the face in the form of red angular lines, if not properly use the mask. The success rate is 88.4% using detector parameters, namely: scale factor = 1.1 for all face, nose and mouth object libraries.