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Monitoring Social Distancing Using CNN for Minimizing COVID-19

Anubhav Dikshit,Kamaljit Singh Saini

2022 International Conference on Smart Generation Computing, Communication and Networking (SMART GENCON)(2022)

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摘要
SARS-CoV-2 is the name of the highly infectious Coronavirus that brought the disease to the world. Preventing Covid by keeping the partition among people since it is not possible to get relatable information of an individual about its contamination. The WHO considers 6-ft to be a safe separation for individuals who take all other necessary precautions (masks, sanitizing, etc.)[1]. The undertaking targets utilizing Artificial Insight to implement this social separation openly put by continually checking the separation between individuals shown in a video feed, also alarming the dependable individual to initiate the required moves. This video feed can be used without any problem gathered by the prior framework across the general population places like CCTV Cameras. This would enable us to continually observe the separation between any two people in a public place. The adaptability is exceptionally arranged highly, so that cameras are introduced at practically on every open spots[2].
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关键词
Covid19,Social Distancing,Convolutional Neural Network,Artificial Intelligence,RCNN,Opencv,Jupyter,Graphs
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