Metaverse-based Field Evidence Analysis Integrated Management System

Hee-Chul Kim (1)
(1) Department of Computer Engineering, Gwangju University, Republic of Korea
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How to cite (IJASEIT) :
Kim , Hee-Chul. “Metaverse-Based Field Evidence Analysis Integrated Management System”. International Journal on Advanced Science, Engineering and Information Technology, vol. 14, no. 6, Dec. 2024, pp. 2098-05, doi:10.18517/ijaseit.14.6.20458.
This study studies metaverse-based field evidence management devices and methods. This is done by analyzing events that occur within the metaverse space. This relates to a metaverse-based field evidence management device and method that can collect and manage evidence in an integrated manner. Metaverse refers to a virtual world that transcends reality. The metaverse-based field evidence management method is a step of collecting images in the metaverse space, analyzing the types of accidents that occur at the scene of an incident, and analyzing the behavioral characteristics, subjects, and objects that correspond to the kinds of accidents. In the case of fire scenes, there are many difficulties due to police control. To prepare for such cases, check and analyze scan data. Evidence at the fire scene can be preserved and confirmed even after the scene has been cleaned up. This is to create a system where experts in each field can jointly investigate and discuss in the metaverse space. In addition, real-world users use avatars within the metaverse space as their alter egos. We can perform various activities with our avatar in the metaverse space.  Meanwhile, avatars operating in the metaverse space are controlled by users in the real world, and users can commit criminal acts within the metaverse space through avatars. In addition, it enhances field preservation and evidence analysis by creating 3D sites for incidents and accident sites, increasing the collaboration of experts and the efficiency of forensic science in the virtual space. With the acceleration of digital transformation, it can contribute to fostering a practical AI technical workforce that can be put into the field.

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