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

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

In the current wake of the COVID-19 pandemic, preventing and/or limiting the community spread of the virus is a mammoth task, with governments and administrations across the world applying different strategies to restrict population movement and social interaction. A result has been serious socio-economic impacts.

Keywords: Compliance monitoring coronavirus, pandemic COVID-19, smart sensor; crowd counting, COVID compliance, social distancing