Title: Motion estimation-based inclination measurement of industrial assembly platform

Authors: Zelin Meng; Lin Meng; Hiroyuki Tomiyama

Addresses: Graduate School of Science and Engineering, Ritsumeikan University, 1-1-1 Noji-higashi, Kusatsu, Shiga 525-8577, Japan ' College of Science and Engineering, Ritsumeikan University, 1-1-1 Noji-higashi, Kusatsu, Shiga 525-8577, Japan ' College of Science and Engineering, Ritsumeikan University, 1-1-1 Noji-higashi, Kusatsu, Shiga 525-8577, Japan

Abstract: This paper presents a method for measuring the inclination angle of bearing mounting plane based on binocular vision technology. In the actual installation process of the bearing, the mounting plane will have a certain degree of inclination. To improve the product yield rate, this paper designs the inclination measurement system by using binocular vision technology and the proposed optimised perspective-n-point (PnP) method. After experimental testing, the measurement system for inclination angle proposed in this paper can meet the requirements of the production process. The proposed approach achieves high measurement accuracy as well as good real-time performance.

Keywords: motion estimation; feature matching; inclination measurement; optimisation.

DOI: 10.1504/IJAMECHS.2020.112631

International Journal of Advanced Mechatronic Systems, 2020 Vol.8 No.4, pp.155 - 165

Received: 05 Mar 2020
Accepted: 05 Sep 2020
Published online: 25 Jan 2021 *

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