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 |
October 2024 |
UGC indexed in (Old UGC) |
2017 |
Last date for paper submission |
30th October, 2024 |
Deadline |
Submit Paper any time |
Publication of Paper |
Within 15-30 Days after completing all the formalities |
Publication Fees |
Rs.6000 (UG student) |
Publication Fees |
Rs.8000 (PG student)
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