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Andi Asvin Mahersatillah Suvardi
Universitas Dipa Makassar; Jln. Perintis Kemerdekaan 9, Makassar, 0411-587194
Computer Science & IT

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Menghitung Akurasi Sistem Deteksi Masker Berdasarkan Arah Pandangan Kepala Objek Furqan Rasyid; Mar'atuttahirah; Muhammad Syukri Mustafa; Andi Asvin Mahersatillah Suvardi
Computer Science Research and Its Development Journal Vol. 14 No. 3: October 2022
Publisher : LPPM Universitas Potensi Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22303/csrid.14.3.2022.203-214

Abstract

During this Covid-19 pandemic, the use of masks is highly recommended. The use of masks is very good to stop the spread of the virus. This is why many studies have created systems to assist humans in detecting the use of masks. However, from several existing studies, no research has been found that measures the accuracy of the detection system based on the direction of the object's head view, especially those using the fourth version of yolo (yoloV4). This study calculates accuracy based on 5 viewing angles, namely: (0, 45, 90) degrees sideways, up, and down. The distance between the camera and the test object is 1 meter. The results of the calculation, obtained very satisfactory results, namely 100% for each point of view. While the time required for the system to detect the fastest when the head position is straight ahead (0 degrees) with a time of 3.09 seconds. The longest time occurred when the head down position was 3.89 seconds
Co-Authors Furqan Rasyid Mar'atuttahirah Muhammad Syukri Mustafa