CSRID
Vol. 14 No. 3: October 2022

Menghitung Akurasi Sistem Deteksi Masker Berdasarkan Arah Pandangan Kepala Objek

Furqan Rasyid (a:1:{s:5:"en_US"
s:24:"Universitas Dipa Makasar"
})

Mar'atuttahirah (Universitas Dipa Makassar
Jln. Perintis Kemerdekaan 9, Makassar, 0411-587194)

Muhammad Syukri Mustafa (Universitas Dipa Makassar
Jln. Perintis Kemerdekaan 9, Makassar, 0411-587194)

Andi Asvin Mahersatillah Suvardi (Universitas Dipa Makassar
Jln. Perintis Kemerdekaan 9, Makassar, 0411-587194)



Article Info

Publish Date
20 Dec 2022

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

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Journal Info

Abbrev

CSRIDjournal

Publisher

Subject

Computer Science & IT

Description

CSRID (Computer Science Research and Its Development Journal) is a scientific journal published by LPPM Universitas Potensi Utama in collaboration with professional computer science associations, Indonesian Computer Electronics and Instrumentation Support Society (IndoCEISS) and CORIS (Cooperation ...