Your browser doesn't support javascript.
Adopting Haar Cascade Algorithm on Mask Detection System Based on Distance
7th International Conference on Informatics and Computing, ICIC 2022 ; 2022.
Article in English | Scopus | ID: covidwho-2231423
ABSTRACT
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. © 2022 IEEE.
Keywords

Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: 7th International Conference on Informatics and Computing, ICIC 2022 Year: 2022 Document Type: Article

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: 7th International Conference on Informatics and Computing, ICIC 2022 Year: 2022 Document Type: Article