S&M Young Researcher Paper Award 2020
Recipients: Ding Jiao, Zao Ni, Jiachou Wang, and Xinxin Li [Winner's comments]
Paper: High Fill Factor Array of Piezoelectric Micromachined
Ultrasonic Transducers with Large Quality Factor

S&M Young Researcher Paper Award 2021
Award Criteria
Notice of retraction
Vol. 32, No. 8(2), S&M2292

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.
Sensors and Materials
is covered by Science Citation Index Expanded (Clarivate Analytics), Scopus (Elsevier), and other databases.

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Machine-vision-based Spindle Positioning System of Grinding-wheel-saw Automatic Replacement System

Sijie Qiu, Chi-Hsin Yang, Long Wu, and Kun-Chieh Wang

(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




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