Measuring Runout Value of Sliding Door Using Combination Method of Laser and Machine Vision

Qi Chen, Liming Wu, Ya’nan Zhao, Chao Xu, Yonggen Xu

Abstract

In order to solve the problem of low automation in the original measurement of sliding door run out value, a method of using a servo motor to replace the manual sliding door is proposed at first, then give an analysis about the error source of laser measurement when the run out value is large, and a measurement method of the run out value of the sliding door based on machine vision is designed. The method estimate the ROI of every frame by calculating of the motor speed at first, then use image processing to process the run out video, and the position of the marker is finally gotten. The measurement results of the laser displacement sensor are used to optimize the visual measurement results, and Gauss-Newton is used to solve the nonlinear least squares problem. Experimental results show that this method can effectively improve the overall accuracy in visual measurement.

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Paper Citation


in Harvard Style

Chen Q., Wu L., Zhao Y., Xu C. and Xu Y. (2018). Measuring Runout Value of Sliding Door Using Combination Method of Laser and Machine Vision.In Proceedings of the 2nd International Conference on Intelligent Manufacturing and Materials - Volume 1: ICIMM, ISBN 978-989-758-345-2, pages 359-364. DOI: 10.5220/0007531803590364


in Bibtex Style

@conference{icimm18,
author={Qi Chen and Liming Wu and Ya’nan Zhao and Chao Xu and Yonggen Xu},
title={Measuring Runout Value of Sliding Door Using Combination Method of Laser and Machine Vision},
booktitle={Proceedings of the 2nd International Conference on Intelligent Manufacturing and Materials - Volume 1: ICIMM,},
year={2018},
pages={359-364},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007531803590364},
isbn={978-989-758-345-2},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 2nd International Conference on Intelligent Manufacturing and Materials - Volume 1: ICIMM,
TI - Measuring Runout Value of Sliding Door Using Combination Method of Laser and Machine Vision
SN - 978-989-758-345-2
AU - Chen Q.
AU - Wu L.
AU - Zhao Y.
AU - Xu C.
AU - Xu Y.
PY - 2018
SP - 359
EP - 364
DO - 10.5220/0007531803590364