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) |
Files in This Item:
File | Description | Size | Format | |
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19MCEI07 .pdf | 19MCEI07 | 9.52 MB | Adobe PDF | ![]() View/Open |
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