Rapid Inspection Technique for Conveyor Belt Deviation
Author(s):
X. Z. Mei†‡, C. Y. Miao†*, Y. L. Yang†, & X. G. Li†
Affiliation(s):
†School of Electronics and Information Engineering, Tianjin Polytechnic University, Tianjin 300387, China,
‡College of Mechanical Engineering, Inner Mongolia University of Technology, Hohhot 010051, China
‡College of Mechanical Engineering, Inner Mongolia University of Technology, Hohhot 010051, China
Cite this paper
X. Z. Mei, C. Y. Miao, Y. L. Yang, X. G. Li, “Rapid Inspection Technique for Conveyor Belt Deviation”, Journal of Mechanical Engineering Research and Developments, vol. 39, no. 3, pp. 653-662, 2016. DOI: 10.7508/jmerd.2016.03.006
ABSTRACT: In view of the problems of the existing conveyor belt deviation detection system, such as high false alarm rate and missing alarm rate, a rapid detection method of deviation fault based on machine vision is proposed. According to the consistency of the light intensity induced by the images in the same column collected by the linear array camera, a segmentation method that could rapidly extract the edges of the conveyor belt is adopted to restrain the effects of the large noise and uneven illumination of the conveyor belt image. Moreover, the offset of conveyor belt center and runway center, change rate of variance between columns of the edges of conveyor belt, and the twist angle are utilized to identify the belt deviation fault. Research results show that the method proposed in this paper could meet the requirements of timeliness, accuracy, and anti-noise property of the overall deviation within ±15% width of the belt and the twist deviation detection within ±10°.
Keywords : Conveyor belt; Deviation; Machine vision; Image processing
References
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[25] C. P. Soo, Z. H. Yu, T. Z. Mary, and J. C. Feng, “Uneven illumination removal and image enhancement using empirical mode decomposition”, Journal of Electronic Imaging, vol. 22, no. 4, pp. 043037, April 2013.
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