Fault detection algorithm for underground conveyor belt deviation based on improved RT-DETR
Current research on conveyor belt deviation detection mainly focuses on extracting the straight-line features of belt edges. The method requires setting specific thresholds and is easily affected by environmental factors, resulting in slow detection speed and low accuracy. To address the issue, an u...
Saved in:
| Main Authors: | AN Longhui, WANG Manli, ZHANG Changsen |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Editorial Department of Industry and Mine Automation
2025-03-01
|
| Series: | Gong-kuang zidonghua |
| Subjects: | |
| Online Access: | http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.2024080089 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Real-Time Smoke Detection in Surveillance Videos Using an Enhanced RT-DETR Framework with Triplet Attention and HS-FPN
by: Lanyan Yang, et al.
Published: (2024-10-01) -
GES-YOLO: A Light-Weight and Efficient Method for Conveyor Belt Deviation Detection in Mining Environments
by: Hongwei Wang, et al.
Published: (2025-02-01) -
HSF-DETR: A Special Vehicle Detection Algorithm Based on Hypergraph Spatial Features and Bipolar Attention
by: Kaipeng Wang, et al.
Published: (2025-07-01) -
Improved RT-DETR for Infrared Ship Detection Based on Multi-Attention and Feature Fusion
by: Chun Liu, et al.
Published: (2024-11-01) -
Lightweight RT-DETR with Attentional Up-Downsampling Pyramid Network
by: Nan Li, et al.
Published: (2025-03-01)