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A Study on the Elevator System Using Real-time Object Detection Technology YOLOv5

  • Journal of Internet of Things and Convergence
  • Abbr : JKIOTS
  • 2024, 10(2), pp.103-108
  • Publisher : The Korea Internet of Things Society
  • Research Area : Engineering > Computer Science > Internet Information Processing
  • Received : February 19, 2024
  • Accepted : March 19, 2024
  • Published : April 30, 2024

KIM, TAEKOOK 1 Sun-Been Park 1 Yu-Jeong Jeong 1 Da-Eun Lee 1

1국립부경대학교

Accredited

ABSTRACT

In this paper, a smart elevator system was studied using real-time object detection technology based on YOLO(You only look once)v5. When an external elevator button is pressed, the YOLOv5 model analyzes the camera video to determine whether there are people waiting, and if it determines that there are no people waiting, the button is automatically canceled. The study introduces an effective method of implementing object detection and communication technology through YOLOv5 and MQTT (Message Queuing Telemetry Transport) used in the Internet of Things. And using this, we implemented a smart elevator system that determines in real time whether there are people waiting. The proposed system can play the role of CCTV (closed-circuit television) while reducing unnecessary power consumption. Therefore, the proposed smart elevator system is expected to contribute to safety and security issues.

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.