Aplikasi Deteksi Masker Dan Pengenalan Wajah Menggunakan Opencv
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Institusion
Politeknik Negeri Bengkalis
Author
Rhamadan, Syahril
Subject
458 Teknik Informatika
Datestamp
2022-09-07 09:55:03
Abstract :
In the current Covid-19 pandemic, the use of masks is mandatory for everyone when carrying out various activities, especially in public places to prevent the spread of the Covid-19 virus. During the pandemic, checking of mask wearers is still done manually by security officers at the place concerned. The method applied at this time still has obstacles, namely it cannot be applied all the time and in all public places. In this study, a mask detection and face recognition system will be developed by using OpenCV, OpenCV is very popular for detecting object images such as videos, images and others in real time. This research is expected to be able to control and prevent the spread of the Covid-19 virus. The research method in developing this application uses the Waterfall model so that the implementation in making this system is more ordered. As for testing this application using Black-Box Testing, it is done by testing the application using a camera video resolution from the lowest 720p to the highest 1080p and getting accurate facial recognition results with a certain distance.
In the current Covid-19 pandemic, the use of masks is mandatory for everyone when carrying out various activities, especially in public places to prevent the spread of the Covid-19 virus. During the pandemic, checking of mask wearers is still done manually by security officers at the place concerned. The method applied at this time still has obstacles, namely it cannot be applied all the time and in all public places. In this study, a mask detection and face recognition system will be developed by using OpenCV, OpenCV is very popular for detecting object images such as videos, images and others in real time. This research is expected to be able to control and prevent the spread of the Covid-19 virus. The research method in developing this application uses the Waterfall model so that the implementation in making this system is more ordered. As for testing this application using Black-Box Testing, it is done by testing the application using a camera video resolution from the lowest 720p to the highest 1080p and getting accurate facial recognition results with a certain distance.
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