IOT car with Face mask detector

Nayan Patil; Pratik Talekar; Ashwin Sonawane; Monali Deshmukh

doi:10.37591/jocta.v13i2.926

Abstract

To monitor that people are following the basic safety principle in order to stay safe from the virus. To verify this, a face mask detection system for robot cars can be used. The Robot car will be controlled via app, and we can see live the feed in mobile app with Face mask detection. The primary of our project is to spread awareness of the COVID-19 virus. To monitor people whether they are wearing masks or not without risking one’s exposure to the virus. The website application that serves as the user interface for interacting with the car also offers live streaming views of the region that may be watched, such as through some additional CCTV cameras placed nearby. Wi-Fi is the only communication method used by this system to link the car to the server. It is able to recognise the performance of a surveillance task while a face and a mask are moving simultaneously. The method achieves accuracy of up to 95.77% and 94.58%, respectively, on two different datasets.