Date of Publication :14th November 2020

Abstract: The escalation of the COVID-19 (coronavirus) has caused an economic crisis in most countries in the world. Significantly this pandemic situation damaged the education sector very severely. Students lost their valuable learning time in schools. If the government reopens the institutions, this virus's impact will be more unless the students will follow the physical distancing and mask-wearing. We designed an Internet of Things (IoT) and an Artificial intelligence-based paradigm that uses object detection based on convolution neural networks (CNN) to detect the COVID symptoms and people by measuring temperature and maintaining the physical distance between students the Classroom. In previous algorithms, researchers used the Opencv algorithm to measure the distance between two persons. Due to overlapping in images captured by the camera, the efficiency of this algorithm is significantly less. In this algorithm, we used a stereoscopic distance measurement algorithm to overcome this problem. Our system will be useful to maintain physical distance between people, and it gives the best efficiency compared to previous algorithms.

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