A Methodology for Making Military Surveillance System to be Intelligent Applied by AI Model

Changhee Han; Halim Ku; Pokki Park

A Methodology for Making Military Surveillance System to be Intelligent Applied by AI Model

Changhee Han, Halim Ku, Pokki Park, Journal of Internet Computing and Services, Vol. 24, No. 4, pp. 57-64, Aug. 2023

10.7472/jksii.2023.24.4.57, Full Text:

Keywords: Artificial Intelligence System, object tracking, Surveillance system, Machine Learning/Training, User Interface

Abstract

The ROK military faces a significant challenge in its vigilance mission due to demographic problems, particularly the current aging population and population cliff. This study demonstrates the crucial role of the 4th industrial revolution and its core artificial intelligence algorithm in maximizing work efficiency within the Command&Control room by mechanizing simple tasks. To achieve a fully developed military surveillance system, we have chosen multi-object tracking (MOT) technology as an essential artificial intelligence component, aligning with our goal of an intelligent and automated surveillance system. Additionally, we have prioritized data visualization and user interface to ensure system accessibility and efficiency. These complementary elements come together to form a cohesive software application. The CCTV video data for this study was collected from the CCTV cameras installed at the 1st and 2nd main gates of the 00 unit, with the cooperation by Command&Control room. Experimental results indicate that an intelligent and automated surveillance system enables the delivery of more information to the operators in the room. However, it is important to acknowledge the limitations of the developed software system in this study. By highlighting these limitations, we can present the future direction for the development of military surveillance systems.

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Cite this article

[APA Style]

Han, C., Ku, H., & Park, P. (2023). A Methodology for Making Military Surveillance System to be Intelligent Applied by AI Model. Journal of Internet Computing and Services, 24(4), 57-64. DOI: 10.7472/jksii.2023.24.4.57.

[IEEE Style]

C. Han, H. Ku, P. Park, "A Methodology for Making Military Surveillance System to be Intelligent Applied by AI Model," Journal of Internet Computing and Services, vol. 24, no. 4, pp. 57-64, 2023. DOI: 10.7472/jksii.2023.24.4.57.

[ACM Style]

Changhee Han, Halim Ku, and Pokki Park. 2023. A Methodology for Making Military Surveillance System to be Intelligent Applied by AI Model. Journal of Internet Computing and Services, 24, 4, (2023), 57-64. DOI: 10.7472/jksii.2023.24.4.57.