Covid-19 Mask Detector Based on YOLO and MATLAB

Coronavirus Disease 2019, known as Covid-19 has spread in the world for the past three years. Even though it has been three years, the pandemic has not over yet, some people are still infected despite the have already vaccinated. Coronavirus is the virus which responsible for the disease can spread rapidly. To stop human-to-human transmission of the virus, WHO and Government urged people to wear the protective equipment such as mask. However, some people are reluctant to wear them, it can cause coronavirus spread and make some people get infected. In this paper, we developed a system to detect people who wearing mask or who not wearing mask. The system is divided into three sub system, the first one is to detect people who wearing mask or who not wearing mask on picture, the second one is to detect people who wearing mask or who not wearing mask on video, and the last one is to detect people who wearing mask or who not wearing mask via web cam (video real-time). The program can detect person who wear several types of masks, including light and dark masks with accuracy 92,8523%. The system was developed based on YOLO and MATLAB.