The main objective of this project is to detect the face mask while entering into any public place like shopping malls, offices, schools, etc. The Highlight in this project is using ESP32 Cam, we are detecting face masks.
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: Face mask detection, Arduino, ESP-32 Camera, MLX90614 Temperature sensor.
NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.

Hardware requirements:
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