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A Study on the System of CRIME PREVENTION in Parks Using Augmented Reality Technology

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Users of parks have been progressively diversified, and crimes in parks have been increasing due to the prob-lems such as lack of police security resource and insufficiency of management and operation of the park mana-gerial agents. Hence, this research would like to propose a park-crime prevention system based on augmented reality technology as a measure to predict and prevent crimes in parks. Augmented reality as a type of virtual reality, is an integration of experiences in virtual and actual realities, which presents a combination of computer graphic images including virtual entities such as animation, motion, image, audio and information with images and background in real spaces. Augmented reality involves technolo-gies tracking location, direction and movement, extracting characteristic points and transferring them to data servers, then understanding through comparisons between the characteristic points. Moreover, Registration technology creating virtual objects via computer graphics and distributing them at their exact locations identical with real images, and UI (User Interface) technology processing mutual interaction between users including the screen, are utilized. The proposed park crime prevention system from this thesis, at first, establishes a database to comprehen-sively save data such as geological profiling with analysis of crime type and motion action patterns by criminals who whose main habitat is a park and stereotyped data which space-time pattern has been analyzed from the distributions of crime occurring times and locational spaces during past cases occurred inside of parks. Then, park users will be able to use parks safely from crimes by checking downloaded park crime prevention application in their smart phones, linked with the database storing information.

Abstract

1. Introduction

2. Theoretical Background

3. Park Crime Prevention System Using Augmented Reality Technology

4. Contemplation of the Proposed Mode

5. Conclusion

6. References

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