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All Journal JIKSI (Jurnal Ilmu Komputer dan Sistem Informasi)
Saddhananda
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Computer Science & IT Mathematics Other

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Deteksi Penggunaan Masker dan Klasifikasi Secara Real Time Melalui Video Webcam Dengan Metode YOLO Saddhananda; Chairisni Lubis
Jurnal Ilmu Komputer dan Sistem Informasi Vol. 11 No. 1 (2023): JURNAL ILMU KOMPUTER DAN SISTEM INFORMASI
Publisher : Fakultas Teknologi Informasi Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/jiksi.v11i1.24064

Abstract

The use of masks is currently important to prevent the spread of the virus. However, there are often people who do not wear masks in public places. Therefore, a real-time mask detection system is needed via webcam video. This system uses the You Only Look Once (YOLO) method to detect faces and classify whether the person is wearing a mask or not. The YOLO model is used to detect and classify masks in images and is trained using datasets from kaggle. The results for YOLO show the detection accuracy for masks is 92% using training data.
Co-Authors Chairisni Lubis