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Research Article

An Social Distance Violation Detector System

Shrikant A. Shinde1 Sakshi Bondre2 Priyanka Parmar3 Khushboo Patil4 Pratiksha Yewalkar5
1Professor, Department Computer Technology, Sinhgad Institute of Technology and Science, Pune, Maharashtra, India. 2345Students, Department Computer Technology, Sinhgad Institute of Technology and Science, Pune, Maharashtra, India.

Published Online: May-June 2022

Pages: 191-195

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Abstract

Abstract: In computer science, the term artificial intelligence refers to any human like intelligence exhibited by a computer, robot, or other machine. In popular usage, artificial intelligence refers to the ability of a computer or machine to mimic the capabilities of the human mind learning from examples and experience, recognizing objects, understanding and responding to language, making decisions, solving problems. One of the principles and best measures to contain the ongoing viral episode is the support of the alleged social distancing. To agree to this limitation, governments are receiving limitations over the base between close to home separation between individuals. Given this real situation, it is critical to enormously gauge the consistence to such physical requirement in our life, so as to make sense of the purposes behind the potential breaks of such separation impediments and comprehend if this suggests a likely danger. Video Social Distancing is significant for a nonintrusive investigation of whether individuals follow the Social Distancing limitation, and to give insights about the degree of security of explicit territories at whatever point this imperative is abused. It has been first viewed that, estimating Video Social Distancing isn’t just a mathematical issue, however it additionally infers a more profound comprehension of the social conduct in the scene. The point is to genuinely identify possibly risky circumstances while keeping away from bogus alerts the entirety of this by following current security strategies. We used python for implementing the algorithm which will help to detect violator for social distance. As well as HTML, CSS to create the User interface which will help user to register into the system and login. Once login user can upload the video and will get the output video by processing it on YOLO model. Thus System is implemented successfully and can be useful in Future also.

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