文章基本信息

标题：Early Monitoring of Social Distancing using Open cv and Deep Learning
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作者：C Kishor Kumar Reddy ; Anisha P R ; Lingala Thirupathi 等
期刊名称：International Journal of Early Childhood Special Education
电子版ISSN：1308-5581
出版年度：2022
卷号：14
期号：3
页码：4634-4643
DOI：10.9756/INT-JECSE/V14I3.603
语种：English
出版社：International Journal of Early Childhood Special Education
摘要：Social distancing is one of the community mitigation measures that may be recommended during influenza epidemics. Social distancing can reduce virus transmission by boosting physical distance or reducing frequency of congregation in socially close community settings, similar as academies or workplaces. This is a common practice which has been carried out over generations to minimize the spread of virus by limiting its reproduction rate among communities. In the battle against COVID-19, social distancing has proved to be a highly successful strategy for slowing disease transmission. People are being advised to minimize their contacts with one another in order to reduce the risk of the virus spreading through physical touch. The social distancing detection system will monitor whether people are maintaining a safe distance from each other in public places and workplaces or not to ensure social distancing protocol. We can see a clear overview of how we can detect social distancing in public places using Python, Computer Vision, YoLov3, and Deep Learning in this proposed framework.
关键词：Social Distancing;Open CV;Computer Vision;Yolov3;Deep Learning