期刊名称：International Journal of Advances in Engineering and Management
电子版ISSN：2395-5252
出版年度：2021
卷号：3
期号：7
页码：3969-3971
DOI：10.35629/5252-030737793785
语种：English
出版社：IJAEM JOURNAL
摘要：The COVID - 19 pandemic has had a distressing effect on all irrespective of caste, creed, gender, and religion. Even with the advent of vaccine and people been vaccinated, the mutation of the virus is stillnegatively impacting the economy of the world as a whole. Hence, for education system to continue unhindered, there is need to develop a social distancingdetecting model, a key factor for combating this menace, especially in our educational sector which according to WHO should be made safe instead of closed. The model designed was built in two modules namely people detector and social distancing modules. The model used YOLO(You Only Look Once) object detection algorithm which is an extremely fast multi object detection algorithm which uses convolutional neural network (CNN) to detect and identify objects as well as the Euclidean distance measurement for the determination of a safe distance. From the model testing result we were able to accurately detect violators of this rule.
