


Volume 20 No 13 (2022)
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A Framework for Big data Analytics in Video Surveillance
Dr. C ANITHA, S GNANA NITHIS RAJ
Abstract
This article discusses the breadth and usage of big data analytics in video surveillance as well as
potential future applications. The new technological era provides users with numerous opportunities
to produce data at any given time. As a result, a massive amount of data is produced every second
all over the world. A major percentage of this is accounted for by the amount of video data created.
Education, science, geographical exploration, agriculture, safety and security, entertainment, etc.
are the primary fields that create a vast amount of video data daily. A substantial chunk of this
comes from the daily reports of surveillance data collected from the security camera that is utilised
often. Such voluminous information calls for a dedicated infrastructure for archiving, retrieval,
processing, and analysis. In this regard, Big Data Analytics is a useful tool. This piece's focus is on
how Big Data Analytics is being used in the modern world of video surveillance. It also plans to zero
in on Big Data research possibilities related to visual surveillance. The video surveillance tools used
in the Big Data framework are described. This paper's primary objective is to investigate the state of
video surveillance in the modern day through the lens of Big Data Analytics and to predict its
potential future developments.
Keywords
Big Data Analytics, video surveillance, video analysis
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