Real-Time Face Mask Detection in Deep Learning using Convolution Neural Network
Syed Imran Ali, Shirin Shafiei Ebrahimi, Muhammad Khurram, Syed Imran Qadri
Abstract
COVID -19 Pandemic has affected human being without distinguishing the region and religion around the world. Even though vaccine is available now, we should still be use precautionary steps to avoid being affected by this virus. Use of face mask will help to stop the spread of the virus. COVID - 19 face mask detector will help in detecting whether a person is wearing mask or not by the use of its on face mask net with deep learning techniques. With suggested technique of deep learning get an accuracy of 98 percent. Our suggested technique also works with still pictures and give effective results with live video stream captured using the CCTV cameras and able to identify whether person is using face mask or not. It is very useful at the place of the mass gathering and screening like shopping mall and railway station and shopping streets and colleges. By using this tool for the face mask will help in regulating the use of it and if person found not using it will be easily warned by the regulator.