Home Journals Articles Updates About
CN
image
收藏切换
A Fusion Improvement of YOLOv7-tiny and ByteTrack Tracking for Belt Conveyor Speed Measurement Method
收藏切换
Xu LIANG1, Huifeng ZHANG1, Kai GAO2
Mining Research and Development | 2025, 45(8) : 209 - 216
Less
收藏切换
Mining Research and Development | 2025, 45(8): 209-216
A Fusion Improvement of YOLOv7-tiny and ByteTrack Tracking for Belt Conveyor Speed Measurement Method
Full
Xu LIANG1, Huifeng ZHANG1, Kai GAO2
Affiliations
  • 1.Shaanxi Xiaobaodang Mining Co., Ltd., Yulin, Shaanxi 719302, China
  • 2.College of Computer Science and Technology, Xi'an University of Science and Technology, Xi'an, Shaanxi 710699, China
Published: 2025-08-25
Outline
收藏切换

Aiming at the problems of deformation of object motion, trajectory drift, and tracking loss, which lead to large errors in belt conveyor speed measurement, a method based on fusion improvement of YOLOv7-tiny and ByteTrack tracking was proposed for belt conveyor speed measurement. Firstly, the improved YOLOv7-tiny object detection algorithm was used as a detector to achieve accurate positioning of objects in images. Secondly, a secondary data association strategy was applied to strengthen the association matching of low-score confidence, while a Kalman algorithm with introduced confidence was used to make the predicted trajectory tend to the detector results, so as to improve the stability of object tracking trajectory on the belt conveyor. Finally, the camera calibration method was simplified using the image coordinates between the belt conveyor's two support rods and the distance between the support rods, and the belt conveyor speed measurement model was established to realize the speed estimation of the belt conveyor. The test results show that the MAE and MSE indicators of the proposed method have been reduced by 0.037 m/s and 0.022 m/s, respectively, effectively reducing the speed measurement error of the belt conveyor.

Belt conveyor  /  Operating speed  /  Object detection  /  Secondary data association strategy  /  YOLOv7  /  ByteTrack tracking algorithm
梁旭, 张慧峰, 高凯. 融合改进YOLOv7-tiny与ByteTrack跟踪的胶带运输机速度测量方法. 矿业研究与开发, 2025 , 45 (8) : 209 -216 .
Xu LIANG, Huifeng ZHANG, Kai GAO. A Fusion Improvement of YOLOv7-tiny and ByteTrack Tracking for Belt Conveyor Speed Measurement Method[J]. Mining Research and Development, 2025 , 45 (8) : 209 -216 .
Appendix
Less
Year 2025 volume 45 Issue 8
72
33
Cite this Article
BibTeX
Article Info
  • Receive Date：2024-08-24
  • Online Date：2026-10-28
  • Published：2025-08-25
Article Data
Affiliations
History
  • Received：2024-08-24
Funding
Affiliations
    1.Shaanxi Xiaobaodang Mining Co., Ltd., Yulin, Shaanxi 719302, China
    2.College of Computer Science and Technology, Xi'an University of Science and Technology, Xi'an, Shaanxi 710699, China
References
Share
https://castjournals.cast.org.cn/joweb/kyyjykf/EN/
Share to
QR

Scan QR to access full text

Cite this article
BibTeX
Citations
表12种不同金属材料的力学参数
科
Family		 属数
Number of
genus		 种数
Number of
species		 占总种数比例
Percentage of
total species (%)		 属
Genus		 种数
Number of
species		 占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
关闭全屏
  • BibTeX
  • EndNote
  • RefWorks
  • TxT
Links
Articles
Latest Articles
Most Read
Collections
Updates
Events
News
Multimedia
About
About Us
Contact
No. 86 Xueyuan South Road, Haidian District, Beijing
100081
010-62662699(Operation and Technical Support)
qkjq@cast.org.cn

Copyright © 2025 China Association for Science and Technology. All rights reserved. For all open access content, the relevant licensing terms apply.
Sponsored by the Office of the Leading Group for Cybersecurity and Informatization of CAST, and supported by Science and Technology Review Publishing House