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  Published Paper Details:

  Paper Title

SMART MONITORING SYSTEM FOR PHYSICAL DISTANCING USING DEEP LEARNING

  Authors

  Ajinkya Chavan,  Kunal Gaidhane,  Mrs. Nivedit Kadam

  Keywords

COVID-19, Economy, vaccine, response

  Abstract


In the fight against COVID-19, physical distancing has proven to be the most effective way to reduce the speed of the spread of the contagious disease. People are being asked to prevent contact with each other, which reduces the chances of infection that are transmitted by physical or close contact. In the past too AI / Advanced Learning has shown promising results in a number of problems of daily life. In this project we had implemented a detailed description of how we can use Python, Computer Vision, Deep learning to monitor distancing at social places and places of work. Ensuring the process of physical distancing in public spaces and workplaces, a tool that can check if people keep a safe distance from each other by analyzing video streams from the camera, videos, CCTV footages, Monitoring people in the workplace, in factories, in stores we can include this tool in its security camera systems and can be careful if people keep a safe distance from each other otherwise or not.

  IJCRT's Publication Details

  Unique Identification Number - IJCRTI020025

  Paper ID - 211592

  Page Number(s) - 108-116

  Pubished in - Volume 9 | Issue 11 | November 2021

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Ajinkya Chavan,  Kunal Gaidhane,  Mrs. Nivedit Kadam,   "SMART MONITORING SYSTEM FOR PHYSICAL DISTANCING USING DEEP LEARNING", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.9, Issue 11, pp.108-116, November 2021, Available at :http://www.ijcrt.org/papers/IJCRTI020025.pdf

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ISSN: 2320-2882
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ISSN and 7.97 Impact Factor Details


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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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