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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-Gyu Kim ORD ID 1 Juhyun Kim ORD ID 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.

Citation status

* References for papers published after 2022 are currently being built.

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