Please use this identifier to cite or link to this item: http://10.1.7.192:80/jspui/handle/123456789/10474
Title: Anomaly Detection and Recording Using Blockchain Technologies from Surveillance Video
Authors: Shah, Aneri
Keywords: Computer 2019
Project Report 2019
Computer Project Report
Project Report
19MCEI
19MCEI07
INS
INS 2019
CE (INS)
Issue Date: 1-Jun-2021
Publisher: Institute of Technology
Series/Report no.: 19MCEI07;
Abstract: COVID-19 situation has created once in a lifetime situation where people are exposed to a huge health crisis in the wake of social distancing norms introduced by the governing bodies. Wearing of masks and maintaining a distance of at least two yards is mandatory. The paper aims at detecting if people in a workplace or a public place are following suit- able social distancing norms or not through the anomaly detection technique. Objective of an anomaly detection system is to detect any deviation from the normal (ideal-case scenarios) profiles. Need is felt to use technology based innovation for ensuring social distancing norms from the videos. The paper surveys various anomaly detection systems built using the surveillance videos and proposes a novel scheme to raise an alert if social distancing norms are not followed.
URI: http://10.1.7.192:80/jspui/handle/123456789/10474
Appears in Collections:Dissertation, CE (INS)

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