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Statistics report
Aug. 2022
Submitted Papers : 80
Accepted Papers : 10
Rejected Papers : 70
Acc. Perc : 12%
Issue Published : 113
Paper Published : 1372
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  Journal Paper


Paper Title :
Social Distancing Detection System Using Opencv and Deep Learning

Author :Sudhir Sidhaarthan B, Sanjay S

Article Citation :Sudhir Sidhaarthan B ,Sanjay S , (2021 ) " Social Distancing Detection System Using Opencv and Deep Learning " , International Journal of Advance Computational Engineering and Networking (IJACEN) , pp. 34-37, Volume-9,Issue-9

Abstract : Social Distancing is a procedure that is very effective in controlling the transmission of infectious diseases. Social distancing as the name says is the practice of keeping in distance from others physically, to reduce the spreading of diseases. This Social Distance Detection System brings an emphasis on monitoring the distance between people using technologies namely Open-CV and Deep Learning. This publication focuses on detecting people by a method called object detection and calculating the distance between them. When the distance between people becomes less than the standard value, certain indications and alerts will be displayed. This also indicates the number of Social Distancing violations. Keyboards - Computer Vision, Deep Learning, Social Distancing, OpenCV, Object Detection

Type : Research paper

Published : Volume-9,Issue-9


DOIONLINE NO - IJACEN-IRAJ-DOIONLINE-18157   View Here

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