Iot and Deep Learning Based Approach for Rapid Screening and Face Mask Detection for Infection Spread Control

Abstract

We propose a low-cost enabled COVID-19 standard operating procedure (SOP) compliance system that counts the number of people entering and leaving vicinity, ensures physical distancing, detection of face mask managers of violations. The system comprises of multiple sensor nodes communicating with a centralized server. The data stored on the server can be used for compliance auditing, real-time monitoring, and planning purposes. The system does not record the personal information of attendees nor provide contact tracing information