Drill pipe detection and counting based on improved YOLOv11 and Savitzky-Golay
Abstract To achieve automated counting of drill pipes during gas extraction in coal mines, this study proposes an intelligent counting method based on an improved YOLOv11 model and Savitzky-Golay (SG) smoothing. First, images of underground gas extraction drilling operations were captured, and a dat...
Saved in:
| Main Authors: | Cheng Cheng, Xiaoyu Cheng, Debo Li, Jiawei Zhang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-05-01
|
| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-01776-8 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Improving Radio Signal from Baghdad University Radio Telescope Using the Savitzky-Golay Filter
by: Zahraa A. Hussein, et al.
Published: (2024-09-01) -
Method for counting coal mine drill pipes based on YOLOv11_OBB
by: ZHENG Ran, et al.
Published: (2025-05-01) -
Design of a Savitzky-Golay Filter-Based vEMG-FES System
by: Ruikai Cao, et al.
Published: (2025-01-01) -
Removal of Artifcats in Electrocardiograms using Savitzky-Golay Filter: An Improved Approach
by: Nisha Raheja, et al.
Published: (2020-12-01) -
An Improved Decision Support System for Identification of Abnormal EEG Signals Using a 1D Convolutional Neural Network and Savitzky-Golay Filtering
by: Unmesh Shukla, et al.
Published: (2021-01-01)