Abstract
COVID-19 or the Coronavirus Disease has been wreaking havoc all around the globe. People have lost their lives and livelihoods because of this contiguous disease that multiplies at a very fast rate. Although countries have prepared vaccines and have started with the process of vaccination, it has been advised by the government to follow the norms of wearing face masks, following social distancing and hand sanitization for atleast a few months from now so that the vaccine can be effective against the virus. Following Social Distancing is one of the ways we prevent the mass spreading of the virus. The proposed system uses Object Detection and Triangle Similarity techniques to check if people are following Social Distancing or not in Images, Videos and Webcam feeds. If any individual is found not following the norms, an alarm will be sounded to alert the person and the police officials.
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Zope, V., Joshi, N., Iyengar, S., Mahadevan, K., Singh, M. (2021). Efficient Social Distancing Detection Using Object Detection and Triangle Similarity. In: Singh, M., Tyagi, V., Gupta, P.K., Flusser, J., Ören, T., Sonawane, V.R. (eds) Advances in Computing and Data Sciences. ICACDS 2021. Communications in Computer and Information Science, vol 1440. Springer, Cham. https://doi.org/10.1007/978-3-030-81462-5_8
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