Longitudinal tear detection method of conveyor belt based on audio-visual fusion

Aiming at the problem that mining conveyor belts are easily damaged under severe working conditions, the paper proposed a deep learning-based conveyor belt damage detection method. To further explore the possibility of the application of lightweight CNNs in the detection of conveyor belt damage, the paper deeply integrates the MobileNet and Yolov4 network to achieve the lightweight of Yolov4, and performs a test on the exiting conveyor belt damage dataset containing 3000 images. The test results show that the lightweight network can effectively detect the damage of the conveyor belt, with the fastest test speed 70.26 FPS, and the highest test accuracy 93.22%. Compared with the original Yolov4, the accuracy increased by 3.5% with the speed increased by 188%. By comparing other existing detection methods, the strong generalization ability of the model is verified, which provides technical support and empirical reference for the visual monitoring and intelligent development of belt conveyors.

Download Full-text

Dual band infrared detection method based on mid-infrared and long infrared vision for conveyor belts longitudinal tear

Measurement ◽

10.1016/j.measurement.2018.02.029 ◽

2018 ◽

Vol 120 ◽

pp. 140-149 ◽

Cited By ~ 13

Author(s):

Binchao Yu ◽

Tiezhu Qiao ◽

Haitao Zhang ◽

Gaowei Yan

Keyword(s):

Detection Method ◽

Infrared Detection ◽

Dual Band ◽

Mid Infrared ◽

Conveyor Belts ◽

Infrared Vision ◽

Longitudinal Tear

Download Full-text

Automatic Defect Detection Method for the Steel Cord Conveyor Belt Based on Its X-Ray Images

2011 International Conference on Control, Automation and Systems Engineering (CASE) ◽

10.1109/iccase.2011.5997624 ◽

2011 ◽

Author(s):

Xian-Guo Li ◽

Chang-Yun Miao ◽

Ji Wang ◽

Yan Zhang

Keyword(s):

Defect Detection ◽

Detection Method ◽

Conveyor Belt ◽

X Ray ◽

Steel Cord

Download Full-text

Fault Automatic Detection Method of Steel Cord Conveyor Belt Based on Gabor Filter Bank

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.411-414.1218 ◽

2013 ◽

Vol 411-414 ◽

pp. 1218-1221

Author(s):

Yan Zhang ◽

Wei Gong ◽

Wei Liang Zhong

Keyword(s):

Filter Bank ◽

Detection Method ◽

Gabor Filter ◽

Automatic Detection ◽

Conveyor Belt ◽

Gabor Filters ◽

Fusion Images ◽

Steel Cord ◽

Gabor Filter Bank ◽

Good Detection

A method based on Gabor filter bank is presented to automatically detect the steel cord conveyor belt fault. Firstly, multi-channel filtering is implemented by Gabor filters. Then the characteristic differential and fusion images are calculated. Finally, the fault images are identified by white pixels statistics after the threshold segmentation. The results show that this method has good detection result for steel cord conveyor belt fault.

Download Full-text