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An Integrated Control System for Crime PreventionUsing Image Pattern Analysis


ChangbaeNoh, WonshikNa
Abstract

The purpose of this study is to use artificial intelligence to determine whether an area is safe from crime by analyzing the patterns in images taken by unmanned drones, and to link it with an integrated control system aimed at crime prevention.The crime prevention system organizes the CCTV monitored elements following the CPTED components. CPTED components are also utilized for preventing traffic accidents and ensuring pedestrian safety. It is important to take measures to design an environment that does not seem threatening, for example by installing CCTVs in the same color of the building they are being installed on and at an interval of 5 meters at a placement that does not interfere with pedestrians’ walking. In addition to the images taken by unmanned drones, the taken from these CCTVs will be used as well as they are also important for crime prevention.This high-tech security system will allow users to monitor areas vulnerable to crime in real time and strengthen policing activities. Also, it will predict areas at risk of crime and allow users to devise strategies for crime prevention utilizing the Map Data that is constantly collected. Supplementing patrol personnel with unmanned drones will create a more efficient human resources management system as well as minimize blind spots in monitoring by building a tighter security infrastructure. The technology is currently still in its early stages, but if unmanned drones are equipped with effective crime-recognition technology, such a high-tech security system continuously monitoring crime-prone areas in real time, it is likely the system could be established as an effective means of crime prevention in the future. With the technology presented in this paper, it is possible to analyze image patterns under limited conditions to establish a real-time crime prevention environment and to examine an integrated control system that can detect situations that have previously been categorized as a risk. In addition, it is possible to recognize crime as it occurs by analyzing people’s behavioral patterns inside the patrol route of the unmanned drones.It will be possible to prevent crimes to the greatest extent by utilizing various forms of crime prevention facilities such as unmanned drones. This will allow users to check the crime occurrence status in real time and to take appropriate action where needed. Users will also be able to manage the devices.

Volume 11 | 05-Special Issue

Pages: 2471-2476