A Novel Approach for Detecting Face Masks and Social Distancing in Public Places

Abstract

The system is fed with the CCTV footage or a real-time web camera, where the people in the frame get detected and the face mask detection module takes place. It uses the facial recognition and identifies a person without mask, followed by a notification alert message through a mail. Then the social distancing module checks whether the person is in a safe zone by measuring social distancing with nearby people. It alerts as “Please put on the mask. The people near you are not following social distancing.” The CCTV cameras are set-up in places where the system needs to follow the above violation metrics. Extra CCTV cameras can be installed if certain areas are meant to be monitored where CCTV cameras were not previously installed. Then the servers or computers must be installed to run inference of the received footage. The system uses a deep learning model in the computer servers to identify the above specified violation metrics.