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Double Lane Line Edge Detection Method Based on Constraint
2018年10月1日· The experimental results show that when using the improved detection algorithm for lane line detection, the average detection accuracy map value is 9203%2022年1月1日· The experimental results show that the average accuracy of detecting coalgangue in the test set reaches 9834 %, and the detection time is about 362 s by usingDetection of coal and gangue based on improved YOLOv51 which
Detection of lane line based on Robert operator ResearchGate
2021年8月11日· The time taken is reduced by 015191 s The simulation results show that the integration of Robert operator in Hough transform lane line detection improves theThe influence of the lane line shielding, etc makes the detection of the lane line very poor 2 When affected by other markers on the driveway, or when the lane is damaged or theThe research on edge detection algorithm of lane SpringerOpen
Visual Positioning and Recognition of Gangues Based on Scratch
2019年1月18日· 5 July 2019 | Citation OPEN ACCESS Abstract: The coals and gangues in a raw coal image have similar visual features, due to the presence of coal ash on the2022年12月26日· Top coal caving is a process for the rational extraction of large amounts of coal resources However, this process readily causes release of excessive amounts ofA review of coal gangue identification research Springer
Detection of Magnesite and Associated Gangue Minerals using
This study introduced a detection method for magnesite and associated gangue minerals, including dolomite, calcite, and talc, based on mineralogical, chemical, and hyperspectral2021年2月14日· In coal production, the raw coal contains a large amount of gangue, which affects the quality of coal and pollutes the environment Separating coal and gangue canCoal and Gangue Separating Robot System Based on
Lightweight Target Detection for Coal and Gangue Based on
2023年4月19日· A lightweight coal and gangue detection algorithm based on You Only Look Once version 5s (Yolov5s) is proposed for the current coal and gangue target2021年2月14日· In coal production, the raw coal contains a large amount of gangue, which affects the quality of coal and pollutes the environment Separating coal and gangue can improve coal quality, save energy, andCoal and Gangue Separating Robot System Based
Sensors | Free FullText | Improved YOLOv7 Network Model for Gangue
2023年5月28日· Coal production often involves a substantial presence of gangue and foreign matter, which not only impacts the thermal properties of coal and but also leads to damage to transportation equipment Selection robots for gangue removal have garnered attention in research However, existing methods suffer from limitations, including slow2022年11月16日· Nowadays, most of the deep learning coal gangue identification methods need to be performed on highperformance CPU or GPU hardware devices, which are inconvenient to use in complexYOLOv4TinyBased Coal Gangue Image Recognition
Research on intelligent detection of coal gangue based on deep
2022年7月1日· 1 Introduction A coal gangue sorting manipulator plays an important role in green mining Because it needs to sort the coal gangue at different positions on a conveyor belt when performing the coal gangue rough sorting tasks, the coal gangue sorting manipulator has high requirements for the detection algorithm [1]However, traditionalCompared with other algorithms, the mAP value of the proposed method is increased by 284% at most The FLOPs was only 2,610,046, and the FPS of detection reached 288 Accordingly, this research is considered to be of certain theoretical value and technical reference for identification and positioning of coal gangueAn identification and positioning method for coal gangue based
Detection of coal and gangue based on improved YOLOv51 which embedded
2022年1月1日· The experimental results show that the average accuracy of detecting coalgangue in the test set reaches 9834 %, and the detection time is about 362 s by using the model of YOLOv51 to train the RGB image of coalgangue This method can not only accurately identify coalgangue, but also obtain the relative position of coalgangue,2023年9月30日· The research on coalgangue detection based on deep learning has focused on optimising the structure of the detector, The belt speed was 05 m/s during the shooting, and the line frequency of the camera was set to 2000 The particle size of the coal or gangue was between 50 mm and 350 mmDatadriven model SSDBSP for multitarget coalgangue detection
Detection of coal and gangue based on improved YOLOv51 which embedded
2022年1月1日· The accuracy of coal gangue mixed images was 9834 %, which was improved compared with the original YOLOv5 Moreover, the recognition accuracy of YOLOv5 and YOLOv51 for coal and gangue is higher than that of RF and SVM for coal and gangue The detection time for 110 sets of multispectral images is only 362 s2023年2月24日· The filtration effect significantly affects the gangue slurry velocity and concentration, making it difficult to evaluate the gangue slurry diffusion range Based on the Darcy seepage law, a seepage theoretical calculation model is established considering the filtration time and space effect And the "watercement ratio change matrix" in theGrouting mechanism and experimental study of goaf considering
Sensors | Free FullText | Improved YOLOv7 Network Model for Gangue
2023年5月28日· Coal production often involves a substantial presence of gangue and foreign matter, which not only impacts the thermal properties of coal and but also leads to damage to transportation equipment Selection robots for gangue removal have garnered attention in research However, existing methods suffer from limitations, including slow2022年7月5日· This paper applies the CenterNet target detection algorithm to the foreign object detection of coal conveying belts in coal mines Given the fast running speed of coal conveying belts and the influence ofIntelligent Detection of Foreign Matter in Coal Mine
Detection of Pits by Conjugate Lines: An Algorithm for
2022年9月30日· a straight line will not detect all of the pits In the prior art, the detection rate of pits is low Affected by the irregular shape of coal and gangue, the compatibility decreases Generally, too many or too few pits are detected For this reason, to solve the problem of segmentation and location of overlapping im2021年5月27日· First, a queuing device was applied to line up the coal and gangue particles Wang et al combined machine vision with PSOSVM and realized the detection of coal content in the gangue(PDF) Detection of coal content in gangue via image analysis and
Spatial Effect Analysis of Coal and Gangue Recognition Springer
2022年2月18日· When the distance between the detector and the gangue was 5 cm, as the angle between the detection surface and the gangue surface rotated from 0° to 75°, the detection count decreased gradually, the maximum value was 169078 cps, the relative background increased by 4498%, the minimum value was 1381861cps, the relative2022年12月5日· Coal gangue is the main solid waste in coal mining areas, and its annual emissions account for about 10% of coal production The composition information of coal gangue is the basis of reasonable utilization of coal gangue, and according to the composition information of coal gangue, one can choose the appropriate application Analysis of Composition of Coal Gangue Based on Deep
Detection of Magnesite and Associated Gangue Minerals using
This study introduced a detection method for magnesite and associated gangue minerals, including dolomite, calcite, and talc, based on mineralogical, chemical, and hyperspectral analyses using hand samples from thirteen different source locations and Specim hyperspectral short wave infrared (SWIR) hyperspectral images Band ratioThe development of automatic systems for accurate and efficient detection and removal of gangue and foreign matter holds paramount practical significance in the coal industry Traditional methods for gangue selection in coal processing include manual gangue selection, jigging gangue selection, heavy media gangue selection, and ray gangue seImproved YOLOv7 Network Model for Gangue Selection Robot for Gangue
Coal Gangue Target Detection Based on Improved YOLOv5s MDPI
2023年10月12日· Coal gangue sorting is a necessary process in coal mine production, and removing gangue is the basis for the coal production of clean energy; it is also an important approach to reduce the cost of washing, improve the grade of finished coal and increase the economic efficiency of coal mining enterprises For the problem of high similarity and low2022年9月30日· To solve the recognition problems of coal and gangue under complex conditions such as multiscale, adhesion and semiocclusion, and realize the rapid sorting of coal and gangue, a SSNetCG detection model including an encoder and a decoder was constructed Firstly, the backbone feature extraction network's structure in the encoder detection of incomplete coal and gangue based on
Mechanical and Acoustic Emission Behavior of Gangue
2019年8月26日· The application of gangue concrete can be an effective method to solve the massive gangue heap and shortage of raw materials of concrete by replacing the gravel and river sand with crushed gangue An Acoustic emission (AE) is one of the nondestructive testing methods that can be used for damage detection of the gangue