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Journal : JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING

Utilization of Color Space Value Filter for Laser Pointer Spot Detection with a Single Board Computer julham -; Hikmah Adwin Adam; Meryatul Husna
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol 5, No 2 (2022): Issues January 2022
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v5i2.6119

Abstract

A color space is an abstract mathematical model that describes how a color can be represented as a row of numbers. One abstract mathematical model of the color space that represents the brightness of a color is the value color space or known as the value filter. For this reason, a gray scale is used with a value range of 0 to 255. This is tested in detecting a red laser pointer light spot that is directed into a field. The results obtained show that more inconsistent detection results are displayed than consistent detection results (can be seen in table 1 and table 2). This can happen because the area of the image captured by the camcorder has several pixels with a maximum gray level value or a gray level value that exceeds the specified limit value (maxBri variable).
OpenCV Using on a Single Board Computer for Incorrect Facemask-Wearing Detection and Capturing julham -; Meryatul Husna; Arif Ridho Lubis
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol 5, No 2 (2022): Issues January 2022
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v5i2.6118

Abstract

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.