Coal gangue detection and recognition algorithm based on deformable convolution YOLOv3 [PDF]
IET Image Processing, 2022 The intelligentisation of coal mines is the only approach to the high‐quality development of the coal industry. Detection, identification and sorting of coal gangue is an important part of the intelligentisation of coal mines.
De‐yong Li +3 more
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Research on efficient matching method of coal gangue recognition image and sorting image. [PDF]
Sci RepAbstract The coal gangue sorting robot may encounter variations in the pose of the target coal gangue due to belt slippage, deviation, and speed fluctuations, leading to failed or missed grasping attempts during the sorting process of coal gangue.
Ye Z +5 more
europepmc +4 more sources
Coal and gangue segmentation and recognition method based on YOLOv5-SEDC model [PDF]
Gong-kuang zidonghuaThe existing coal and gangue segmentation and recognition technology has a large number of parameters, slow classification speed, and low recognition accuracy.
YANG Yang +4 more
doaj +3 more sources
A deep learning method based on multi-scale fusion for noise-resistant coal-gangue recognition. [PDF]
Sci RepCoal-gangue recognition technology plays an important role in the intelligent realization of integrated working faces and coal quality improvement. However, the existing methods are easily affected by high dust, noise, and other disturbances, resulting in unstable recognition results that make it difficult to meet the needs of industrial applications ...
Song Q +5 more
europepmc +4 more sources
Vibration Test of Single Coal Gangue Particle Directly Impacting the Metal Plate and the Study of Coal Gangue Recognition Based on Vibration Signal and Stacking Integration [PDF]
IEEE Access, 2019 In order to realize the recognition of coal gangue in the top coal caving process, a scheme of the coal gangue recognition based on the collision vibration signal between coal gangue and the metal plate is proposed in this paper, a systematic and ...
Yang Yang +3 more
doaj +2 more sources
An improved tiny YOLO v3 rapid recognition model for coal-gangue
Gong-kuang zidonghua, 2023 The traditional coal gangue sorting methods have low efficiency, significant safety hazards, and limited application scope. The existing machine vision-based coal gangue image recognition methods are difficult to balance model recognition speed and ...
ZHENG Daoneng
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Image Recognition of Coal and Coal Gangue Using a Convolutional Neural Network and Transfer Learning
Energies, 2019 Recognizing and distinguishing coal and gangue are essential in engineering, such as in coal-fired power plants. This paper employed a convolutional neural network (CNN) to recognize coal and gangue images and help segregate coal and gangue.
Yuanyuan Pu +3 more
doaj +2 more sources
Coal gangue image recognition model based on CSPNet-YOLOv7 target detection algorithm [PDF]
Meitan kexue jishuThe gangue recognition technology is one of the key technologies in the intelligent construction of mines. To address the problem of low accuracy of the gangue recognition model caused by low illumination and high dust environment at the working face and the difficulty of recognizing small target gangue, a coal gangue image recognition model based on ...
Xiaolong WEI +4 more
openaire +4 more sources
Research on coal gangue recognition algorithm based on HGTC-YOLOv8n model
Gong-kuang zidonghuaThe existing deep learning based coal gangue recognition methods have problems in complex working conditions such as low lighting, high noise, and motion blur in coal mines, such as low precision of coal gangue recognition, easy omission of small target ...
TENG Wenxiang, WANG Cheng, FEI Shuhui
doaj +2 more sources
Coal-gangue image recognition in fully-mechanized caving face based on random forest
Gong-kuang zidonghua, 2020 Aiming at problems of high difficulty in parameter adjustment, low prediction accuracy and easy over-fitting in present coal-gangue image recognition methods in fully-mechanized caving face, a coal-gangue image recognition method in fully mechanized ...
XUE Guanghui +3 more
doaj +2 more sources