@article{ART003076602},
author={KIM, TAEKOOK and Sun-Been Park and Yu-Jeong Jeong and Da-Eun Lee},
title={A Study on the Elevator System Using Real-time Object Detection Technology YOLOv5},
journal={Journal of Internet of Things and Convergence},
issn={2466-0078},
year={2024},
volume={10},
number={2},
pages={103-108}
TY - JOUR
AU - KIM, TAEKOOK
AU - Sun-Been Park
AU - Yu-Jeong Jeong
AU - Da-Eun Lee
TI - A Study on the Elevator System Using Real-time Object Detection Technology YOLOv5
JO - Journal of Internet of Things and Convergence
PY - 2024
VL - 10
IS - 2
PB - The Korea Internet of Things Society
SP - 103
EP - 108
SN - 2466-0078
AB - 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.
KW - Internet of things;YOLO;object detection;MQTT(Message Queuing Telemetry Transport);Raspberry Pi;smart elevator
DO -
UR -
ER -
KIM, TAEKOOK, Sun-Been Park, Yu-Jeong Jeong and Da-Eun Lee. (2024). A Study on the Elevator System Using Real-time Object Detection Technology YOLOv5. Journal of Internet of Things and Convergence, 10(2), 103-108.
KIM, TAEKOOK, Sun-Been Park, Yu-Jeong Jeong and Da-Eun Lee. 2024, "A Study on the Elevator System Using Real-time Object Detection Technology YOLOv5", Journal of Internet of Things and Convergence, vol.10, no.2 pp.103-108.
KIM, TAEKOOK, Sun-Been Park, Yu-Jeong Jeong, Da-Eun Lee "A Study on the Elevator System Using Real-time Object Detection Technology YOLOv5" Journal of Internet of Things and Convergence 10.2 pp.103-108 (2024) : 103.
KIM, TAEKOOK, Sun-Been Park, Yu-Jeong Jeong, Da-Eun Lee. A Study on the Elevator System Using Real-time Object Detection Technology YOLOv5. 2024; 10(2), 103-108.
KIM, TAEKOOK, Sun-Been Park, Yu-Jeong Jeong and Da-Eun Lee. "A Study on the Elevator System Using Real-time Object Detection Technology YOLOv5" Journal of Internet of Things and Convergence 10, no.2 (2024) : 103-108.
KIM, TAEKOOK; Sun-Been Park; Yu-Jeong Jeong; Da-Eun Lee. A Study on the Elevator System Using Real-time Object Detection Technology YOLOv5. Journal of Internet of Things and Convergence, 10(2), 103-108.
KIM, TAEKOOK; Sun-Been Park; Yu-Jeong Jeong; Da-Eun Lee. A Study on the Elevator System Using Real-time Object Detection Technology YOLOv5. Journal of Internet of Things and Convergence. 2024; 10(2) 103-108.
KIM, TAEKOOK, Sun-Been Park, Yu-Jeong Jeong, Da-Eun Lee. A Study on the Elevator System Using Real-time Object Detection Technology YOLOv5. 2024; 10(2), 103-108.
KIM, TAEKOOK, Sun-Been Park, Yu-Jeong Jeong and Da-Eun Lee. "A Study on the Elevator System Using Real-time Object Detection Technology YOLOv5" Journal of Internet of Things and Convergence 10, no.2 (2024) : 103-108.
