Drill pipe counting method based on improved MobileNetV2

The existing drill pipe counting methods based on manual and instrument have the problems of low precision, time-consuming and labor-consuming. The existing drill pipe counting methods based on image processing are difficult to extract image features, the network model has high complexity and large...

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Bibliographic Details

Published in:	Gong-kuang zidonghua
Main Authors:	ZHANG Dong, JIANG Yuanyuan
Format:	Article
Language:	Chinese
Published:	Editorial Department of Industry and Mine Automation 2022-10-01
Subjects:	coal and gas outburst drilling rig drill pipe counting image processing convolutional neural network deep learning attention mechanism mobilenetv2
Online Access:	http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.2022060019