Social Distancing Violation Detection Using Image Processing and Machine Learning |
Author(s): |
| Gawali Kajal Popat , HSBPVT College of Engineering Kashti; Kolhatkar Priyanka Balu, HSBPVT College of Engineering Kashti; Mande Vrushali Gorakh , HSBPVT College of Engineering Kashti |
Keywords: |
| Artificial Intelligence, Deep Getting To Know |
Abstract |
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In combat in opposition to the covid-19, social distancing has been validated to be a completely powerful measure to slow down the unfold of the disorder. Human beings are asked to restrict their interactions with each different, lowering the chances of the virus being spread with physical or near touch. In beyond additionally synthetic intelligence/deep gaining knowledge of has shown promising consequences on some of the everyday existence issues. In this proposed system we can see the detailed clarification of the way we will use python, laptop imaginative and prescient and deep getting to know to reveal social distancing at public locations and places of work. To make certain social distancing protocol in public places and place of business, the social distancing detection device that could reveal if humans are maintaining a secure distance from each different through analyzing actual-time video streams from the digital camera, tracking people at offices, factories, stores we can combine this device to their protection camera systems and might monitor whether human beings are maintaining a safe distance from every different or now not. |
Other Details |
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Paper ID: IJSRDV9I40075 Published in: Volume : 9, Issue : 4 Publication Date: 01/07/2021 Page(s): 78-80 |
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