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Print: ISSN 0914-4935
Online: ISSN 2435-0869
Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
Online: ISSN 2435-0869
Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
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Sensors and Materials
is covered by Science Citation Index Expanded (Clarivate Analytics), Scopus (Elsevier), and other databases.
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Sensors and Materials
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is covered by Science Citation Index Expanded (Clarivate Analytics), Scopus (Elsevier), and other databases.
Instructions to authors
English 日本語
Instructions for manuscript preparation
English 日本語
Template
English
Publisher
MYU K.K.
Sensors and Materials
1-23-3-303 Sendagi,
Bunkyo-ku, Tokyo 113-0022, Japan
Tel: 81-3-3827-8549
Fax: 81-3-3827-8547
MYU Research, a scientific publisher, seeks a native English-speaking proofreader with a scientific background. B.Sc. or higher degree is desirable. In-office position; work hours negotiable. Call 03-3827-8549 for further information.
MYU Research
(proofreading and recording)
MYU K.K.
(translation service)
The Art of Writing Scientific Papers
(How to write scientific papers)
(Japanese Only)
Sensors and Materials, Volume 34, Number 2(3) (2022)
Copyright(C) MYU K.K.
Copyright(C) MYU K.K.
|
pp. 789-801
S&M2853 Research Paper of Special Issue https://doi.org/10.18494/SAM3638 Published: February 28, 2022 Machine-vision-based Spindle Positioning System of Grinding-wheel-saw Automatic Replacement System [PDF] Sijie Qiu, Chi-Hsin Yang, Long Wu, Kun-Chieh Wang, and Jian-Zhou Pan (Received September 6, 2021; Accepted December 20, 2021) Keywords: machine vision, automatic replacement, spindle positioning, template matching
To improve the working efficiency and safety of steel round bar sawing equipment, a grinding-wheel-saw automatic replacement system has been employed to replace grinding-wheel saws. In this paper, we report a machine-vision-based spindle positioning system for spindle localization in this replacement system. The hardware and software for the spindle positioning system were established, as well as an imaging model of the camera and the calibration of the vision system. The template matching approach applied to identify the shaft nut of the spindle is also described. Experimental results clearly demonstrate the effectiveness of the proposed machine-vision-based system.
Corresponding author: Chi-Hsin Yang  This work is licensed under a Creative Commons Attribution 4.0 International License. Cite this article Sijie Qiu, Chi-Hsin Yang, Long Wu, Kun-Chieh Wang, and Jian-Zhou Pan, Machine-vision-based Spindle Positioning System of Grinding-wheel-saw Automatic Replacement System, Sens. Mater., Vol. 34, No. 2, 2022, p. 789-801. |
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