Design of visitor counting system using edge computing method (엣지 컴퓨팅 방식을 이용한 방문객 수 카운팅 시스템 설계)

Jungjun Kim (김정준); Min-Kyu Kim (김민규); Juhyun Kim (김주현); leemangi (이만기); Da Young Kim (김다영)

doi:10.9708/jksci.2022.27.07.075

Design of visitor counting system using edge computing method

Journal of The Korea Society of Computer and Information
Abbr : JKSCI
2022, 27(7), pp.75-82
DOI : 10.9708/jksci.2022.27.07.075
Publisher : The Korean Society Of Computer And Information
Research Area : Engineering > Computer Science
Received : June 3, 2022
Accepted : July 21, 2022
Published : July 29, 2022

Jungjun Kim ¹, Min-Kyu Kim ¹, Juhyun Kim ¹, leemangi ¹, Da Young Kim ¹

¹한국로봇융합연구원

Accredited

ABSTRACT

There are various exhibition halls, shopping malls, theme parks around us and analysis of interest in exhibits or contents is mainly done through questionnaires. These questionnaires are mainly depend on the subjective memory of the person being investigated, resulting in incorrect statistical results. Therefore, it is possible to identify an exhibition space with low interest by tracking the movement and counting the number of visitors. Based on this, it can be used as quantitative data for exhibits that need replacement. In this paper, we use deep learning-based artificial intelligence algorithms to recognize visitors, assign IDs to the recognized visitors, and continuously track them to identify the movement path. When visitors pass the counting line, the system is designed to count the number and transmit data to the server for integrated management.

KEYWORDS

Application, Object Detection, Object Tracking, Image Processing, Edge Computing

Citation status

* References for papers published after 2023 are currently being built.

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This paper was written with support from the National Research Foundation of Korea.

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Journal of The Korea Society of Computer and Information 2023 KCI Impact Factor : 0.65

Design of visitor counting system using edge computing method

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Citation status

* References for papers published after 2023 are currently being built.

Journal of The Korea Society of Computer and Information 2023 KCI Impact Factor : 0.65

Design of visitor counting system using edge computing method

ABSTRACT

KEYWORDS

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* References for papers published after 2023 are currently being built.