Abstract

Abstract: In the current day and age, the danger and fear of COVID-19 still stands large. Personally monitoring of social distancing norms and rules is impractical and inefficient with a large influx of people and lack of task force and resources to administer them. There is a need of small and effective system that automates this process and works 24x7. This paper proposes an effective and comprehensive solution to detect mask and scan temperature using microcontroller atmeg328p.This system also uses machine learning to understand different faces and check the status of mask. For this, microcontroller atmeg328p and esp32 camera module is being used. This system also uses ultrasonic sensor (HCSR04),IR temperature sensor (MLX9164) and stepper motor(28BYJ-48) among all the other components. This system also uses a self-made and pretrained data set of different face types.

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