Volume 40 Issue 9
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XU Huan, LI Zhenbi, JIANG Yuanyuan, HUANG Jianbo, HUANG Da. Research of automatic detection algorithm of conveying belt deviation based on OpenCV[J]. Journal of Mine Automation, 2014, 40(9): 48-52. DOI: 10.13272/j.issn.1671-251x.2014.09.012
Citation: XU Huan, LI Zhenbi, JIANG Yuanyuan, HUANG Jianbo, HUANG Da. Research of automatic detection algorithm of conveying belt deviation based on OpenCV[J]. Journal of Mine Automation, 2014, 40(9): 48-52. DOI: 10.13272/j.issn.1671-251x.2014.09.012
shu

Research of automatic detection algorithm of conveying belt deviation based on OpenCV

  • School of Electrical and Information Engineering, Anhui University of Science and Technology, Huainan 232001, China

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    Abstract
  • In order to improve real-time performance and precision of detection method of conveying belt deviation, an automatic detection algorithm of conveying belt deviation was proposed combined with the advantages of OpenCV. Firstly, the algorithm uses CCD camera to capture video stream image of conveying belt real timely, and pre-processes the video stream image. Then it uses improved Canny edge detection algorithm to detect image edge. Finally, it adopts Hough linear transform to extract the belt deviation characteristics, and determine whether the belt is deviation or not, and make alarming if deviation. The test results show that the algorithm is simple and effective, has high speed of operation, and realizes automatic detection of conveying belt deviation.
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    HUANG Da

    • School of Electrical and Information Engineering, Anhui University of Science and Technology, Huainan 232001, China

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