With the advancement of smart mines technology, unmanned and Shojinka have received
widespread attention, among which unattended crushing station is one of the research …

In the coal mining process, various types of tramp materials will be mixed into the raw coal,
which will affect the quality of the coal and endanger the normal operation of the equipment …

This paper aims to achieve real-time and accurate detection of surface defects by using a
deep learning method. For this purpose, the Single Shot MultiBox Detector (SSD) network …

Purpose Workpiece sorting is a key link in industrial production lines. The vision-based
workpiece sorting system is non-contact and widely applicable. The detection and …

In the open pit mine production systems, a certain number of trucks transport mine and rock
between the power shovel and the unloading point. Due to the mining truck has …

Detection of the loading volume of mining trucks is an important task in open pit mining.
Aiming at the addressing the current problems of low accuracy and high cost of the detection …

This paper presents the multi-task Deconvolutional Single Shot Detector (MT-DSSD), which
runs three tasks-object detection, semantic object segmentation, and grasping detection for …

Aiming at the poor effect of deep learning algorithm on small objects detection, the SSD
object detection method based on feature fusion is proposed. The reasons for low detection …

Aiming at the problem of belt conveyor damage caused by the presence of foreign objects
on the belt conveyor in coal mines, this paper proposed that video detection of foreign …

Aiming at the environment of low illumination, high dust, and heavy water fog in coal mine
driving face and the problems of occlusion, coincidence, and irregularity of bolt mesh laid on …