2022, Vol. 3, Issue 1, Part B
A survey on object detection for monitoring social distancing
Author(s): S Sakthi Saravanan
Abstract: The current epidemic due the Corona Virus, there has been had really severe impact. The crisis has put lives of many in jeopardy. The impact of the global pandemic could still last for long time as either an impact on economy of countries or the health scar on the people. It has been estimated about 4.5 million deaths and 220 millions of people have been infected. Apart from them lives of countless others have been impacted indirectly, including various ways stretching from mental issues to economic problems. Apart from the vaccines, there are very few ways to proactively protect oneself from COVID-19. One of those ways are to prevent exposure of oneself by maintain social distancing. It has been shown that social distancing helps in reducing ones exposure to COVID. It is also one of the easier things for one to do. Therefore, the purpose of the study is to explore various object detection frameworks as an implementation to monitor social distancing. The frameworks will detect presence of humans in a given frame, and monitor social distancing by calculating distance between two humans, and checking whether the distance more than acceptable distance. The further studies would include implementation of the models in surveillance and traffic cameras in public areas, and extend from just detecting human presence to identify whether individual has mask on.
Pages: 85-91 | Views: 615 | Downloads: 290
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How to cite this article:
S Sakthi Saravanan. A survey on object detection for monitoring social distancing. Int J Res Circuits Devices Syst 2022;3(1):85-91.