@thesis{thesis,
		author={Rhamadan  Syahril},
		title ={Aplikasi Deteksi Masker Dan Pengenalan Wajah Menggunakan Opencv},
		year={2022},
		url={http://eprints.polbeng.ac.id/7053/},
		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.}
		}