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Student Body Temperature and Physical Distance Management Device in Classroom Using 3D Stereoscopic Distance Measurement

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