Adopting Haar Cascade Algorithm on Mask Detection System Based on Distance
Jemakmun, Rudi Suhirja, Darius Antoni, Hadi Syaputra · 2022 Seventh International Conference on Informatics and Computing (ICIC) · 2022
COVID-19 which has hit almost the whole world, including Indonesia, which has become an epidemic in early 2020. Many cities and districts have enforced to comply with health protocols by using masks. All cities and regencies in South Sumatra are also required to follow health protocols by wearing masks and maintaining distance. So that the Mask Detection System program is a way to overcome public awareness, especially Bina Darma University that the importance of using masks today. In the case of making this mask detection system program using Python and using the Haar Cascade Algorithm. From experiments using the Haar Cascade method, the results show that this system can detect people who use masks and do not use masks. This test is also done by inputting images or videos. Futhermore, in testing this detection system, the approximate distance and angle also need to be considered because it will be very influential.