PEMANFAATAN TEKNOLOGI COMPUTER VISION UNTUK IMPLEMENTASI DETEKSI MASKER MENGGUNAKAN METODE SUPERVISED LEARNING

Muhammad Arrosid, Rifki (2023) PEMANFAATAN TEKNOLOGI COMPUTER VISION UNTUK IMPLEMENTASI DETEKSI MASKER MENGGUNAKAN METODE SUPERVISED LEARNING. Other thesis, Universitas Darul Ulum.

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Abstract

ABSTRACT

The use of masks is still very strict in public places, especially in hospitals, this is solely done to prevent the spread of the corona virus again. The purpose of this study is to assist inspection staff or health protocol personel in supervising the use of masks in public places. Mask detection is the solution to this problem, by utilizing computer vision technology and applying supervised learning algorithms, the system is expected to be able to work well by getting an error rate presentation below 2%. The output of this mask detection system is planned to distinguish people who wear masks and those who dont, by giving red labels to people who dont wear masks and green labeling to people who wear masks

Keywords: Masks Detection, Supervised learning, Computer Vision

Item Type: Thesis (Other)
Uncontrolled Keywords: Deteksi Masker, Supervised Learning, Computer Vision
Subjects: Universitas Darul Ulum > Fakultas Teknik > Teknik Informatika
Universitas Darul Ulum > Fakultas Teknik > Teknik Informatika
R Medicine > RZ Other systems of medicine
T Technology > TR Photography
Divisions: Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science
Depositing User: Muhammad Rifki Arrosid
Date Deposited: 25 Oct 2023 12:12
Last Modified: 25 Oct 2023 12:12
URI: http://repository.undar.ac.id/id/eprint/405

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