Lightweight coal miners and manned vehicles detection model based on deep learning and model compression techniques: A case study of coal mines in Guizhou region
Intelligent recognition of coal mine workers and manned vehicles (coal mine pedestrian-vehicles) is an important component of video surveillance systems and a key task in the development of coal mine intelligence. However, the detection scene of coal mine pedestrian-vehicles is complex, and deployin...
Saved in:
| Main Authors: | Beijing XIE, Heng LI, Zheng LUAN, Zhen LEI, Xiaoxu LI, Zhuo LI |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Editorial Office of Journal of China Coal Society
2025-02-01
|
| Series: | Meitan xuebao |
| Subjects: | |
| Online Access: | http://www.mtxb.com.cn/article/doi/10.13225/j.cnki.jccs.2024.0459 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Development and validation of a carotid plaque risk prediction model for coal miners
by: Yi-Chun Li, et al.
Published: (2025-05-01) -
Intelligent recognition algorithm and application of coal mine overhead passenger device based on multiscale feature fusion
by: Beijing XIE, et al.
Published: (2024-12-01) -
Coal Combustion Warning System Based on TDLAS and Performance Research
by: Zhitao Xie, et al.
Published: (2025-05-01) -
YOLOv8-POS: a lightweight model for coal-rock image recognition
by: Yanqin Zhao, et al.
Published: (2025-04-01) -
Green supply chain for coal: Models and optimization
by: Xiao Wang, et al.
Published: (2025-03-01)