A Review on Intelligent Surveillance System for Crime Detection

Authors

  • Preeti Chorghe Application Development Associate, Department of IT, Accenture Pvt. Ltd., Pune, India
  • Soha Pathak Programmer Analyst, Department of IT, CTS Pvt. Ltd., Chennai, India
  • Shreya Joshii Operations Executive, Department of IT Operations, Infosys Ltd., Pune, India

Keywords:

AI, CCTV, CNN, image processing, object detection

Abstract

Closed Circuit Television (CCTV) systems are increasing in popularity and are being deployed by many domains of accommodation, offices, and also in the most public places. Now-a-days, CCTV cameras and video surveillance systems plays vital role in improving safety and security. CCTV monitoring systems have been implemented all over the globe and it is helping reduce the crime rate. As many camera views a single CCTV operator can manage is limited by human factors, such monitoring systems constitute an enormous burden on this sector. The primary objective of this review paper is to analyze the existing approaches and methods for the automatic detection of the gestures or signs of aggression and brutality on real time. This paper examines the existing systems that suspect crime activities in run time from the real-world data.

Downloads

Download data is not yet available.

Downloads

Published

07-04-2022

Issue

Section

Articles

How to Cite

[1]
P. Chorghe, S. Pathak, and S. Joshii, “A Review on Intelligent Surveillance System for Crime Detection”, IJRAMT, vol. 3, no. 4, pp. 25–28, Apr. 2022, Accessed: Nov. 22, 2024. [Online]. Available: https://journals.ijramt.com/index.php/ijramt/article/view/1908