Human Body Temperature and Face Mask Audit System for COVID Protocol

The world has suffered enough in the aspect of COVID-19. From the year 2019, all we have in our hearts is a constant fear and terror of becoming prey to this deadly virus that has almost taken five lakh and twenty-five thousand lives to date within India, as the statistics show. The way to ensure that you maintain proper public hygiene is by ensuring that you wear masks in public places. There have been many algorithms that provide quicker results. We have tested our model in K-Nearest Neighbors (KNN), Support Vector Machine (SVM) algorithms and using deep learning technique Convolution Neural Networks (CNN). Comparing others, CNN provides more accuracy and has a shorter latency. Thus, we have implemented human face mask detector using CNN. The body temperature of the individual entering a room is monitored by the support of myDAQ, NI Instruments. If the body temperature is higher than 99F, then the person entering the space is not permitted inside. We have designed a device that monitors the temperature of the person entering the room along with the monitoring of face masks using the webcam.