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The Role of Data Analytics in Optimizing Crowd Surveillance: A Review

Author(s):

Pooja Brahmbhatt , GTU - Graduate School of Engineering and Technology, Ahmedabad, Gujarat; G.D. Makwana, GTU - Graduate School of Engineering and Technology, Ahmedabad, Gujarat

Keywords:

Data Analytics, Crowd Surveillance, Optimization, Situational Awareness, Security

Abstract

The fusion of data analytics and crowd surveillance has ushered in a new era of enhanced situational awareness, security, and efficiency. This review paper undertakes an in-depth exploration of the pivotal role that data analytics plays in optimizing crowd surveillance strategies. Beginning with an introduction that sets the stage for the integration of these technologies, the paper navigates through the core components of data analytics in crowd surveillance, from data collection and preprocessing to advanced analytics techniques. It provides comprehensive insights into the various applications of data analytics in optimizing crowd surveillance, addressing challenges and potential areas for further research. This review paper serves as a valuable resource for researchers, practitioners, and decision-makers seeking to harness the transformative potential of data analytics in the realm of crowd surveillance.

Other Details

Paper ID: LDRPTCP050
Published in: Conference 12 : LDRP TECON23
Publication Date: 23/12/2023
Page(s): 259-263

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