ISSN (Online) : 2456 - 0774

Email : ijasret@gmail.com

ISSN (Online) 2456 - 0774

SOCIAL DISTANCE 

Abstract

Abstract: Social isolation was shown to be a very efficient strategy of controlling the spread of COVID-19. Individuals are being encouraged to limit their connections with one another in order to avoid the virus from spreading via physical or close touch. Artificial intelligence/Deep Learning has already demonstrated potential in resolving a wide variety of common problems. We shall learn in detail how to utilise Python, Image Processing, and Deep Learning to detect social division in public spaces and workplaces in this suggested system. By analysing real-time video streams from the camera, the social distancing detection tool can evaluate whether people are maintaining a safe distance from one another in public settings and the workplace. Monitoring This software enables individuals in businesses, industries, and retail establishments to monitor whether or not people are maintaining a safe distance from one another via security camera systems.

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IMPORTANT DATES 

Submit paper at ijasret@gmail.com

Paper Submission Open For March 2024
UGC indexed in (Old UGC) 2017
Last date for paper submission 30th March, 2024
Deadline Submit Paper any time
Publication of Paper Within 01-02 Days after completing all the formalities
Paper Submission Open For Publication /online Conference 
Publication Fees  
Free for PR Students