Classroom System with Intelligent Epidemic Prevention of COVID-19

Abstract

COVID-19 brings human catastrophe. Everyone worries about public sanitation. As the disease is highly contagious, it has not only affected delivery services, but also numerous companies, shops, and schools to shut down temporarily. It has even generated a great depression in the economy from a state of panic. However, Taiwan has been effective in its fight against the pandemic. Taiwan’s residents are wearing masks, cleaning their hands with alcohol-based sanitizers, and promoting the avoidance of crowded places. Under the situation, we developed the idea of constructing an artificial intelligence system to prevent COVID-19 spreading in schools. In the system, we combined a roll-call system based on facial recognition using a convolutional neural network with a GPS, an infrared thermal imager, and personal medical and travel records. Thus, a comprehensive system was constructed to help fight the disease in schools. It will not only be able to be applied in schools but also in numerous other places with Internet connected devices. The system would even be useful in the event of similar disease outbreaks against which we apply the proposed system in the fight against them.