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

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...

Full description

Saved in:
Bibliographic Details
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:
coal miners detection
coal manned vehicles detection
deep learning
model compression
lightweight architecture
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!

Internet

http://www.mtxb.com.cn/article/doi/10.13225/j.cnki.jccs.2024.0459

Similar Items