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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 10, ISSUE 5, MAY 2021

SOCIAL DISTANCING DETECTION USING OPEN CV

Anis Sheikh,Asad Sheikh,Afnan Danish ,Sayyed Faizan Ali, Mohammad Ubaid

DOI: 10.17148/IJARCCE.2021.105103

Abstract: Recently, the outbreak of Corona virus Disease (COVID-19) has spread rapidly across the world and thus social distancing has become one of mandatory preventive measures to avoid physical contact. This survey paper emphasizes on a surveillance method which uses Open-CV, Computer vision and Deep learning to keep a track on the pedestrians and avoid overcrowding. The implementation can be done using closed circuit television (CCTV) and Drones where the camera will detect the crowd with the help of object detection and compute the distance between them. The Euclidean distance between two people will be calculated in pixels and is compared with given standard distance and if it is observed to be less than the standard distance the local authorities or local police authorities will be notified.

Keywords: Covid-19,Monitoring,Social Distancing,OPEN CV

How to Cite:

[1] Anis Sheikh,Asad Sheikh,Afnan Danish ,Sayyed Faizan Ali, Mohammad Ubaid, “SOCIAL DISTANCING DETECTION USING OPEN CV,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2021.105103