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An Intelligent Robot Vision System for Recognizing Micro-roughness on Arbitrary Surfaces: Experimental Result for Different Methods

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Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS 2022)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 496))

Abstract

The goals of Industry 4.0 are to achieve a higher level of operational efficiency and productivity, as well as a higher level of automatization. Also, the measurement at the nano-level on the surface of the target object by a machine has been considered for automation, but there are problems such as the need for high cost and a large amount of time for measurement. In this paper, we propose a robot vision system based on an intelligent algorithm for recognizing micro-roughness on arbitrary surfaces. The proposed system is inexpensive, make quick measurement and is capable of autonomously recognizing micro-roughness to improve the efficiency of production processes.

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Acknowledgement

This work was supported by JSPS KAKENHI Grant Number 20K19793.

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Authors and Affiliations

  1. Graduate School of Engineering, Okayama University of Science (OUS), 1-1 Ridaicho, Kita-ku, Okayama, 700-0005, Japan

    Chihiro Yukawa, Kyohei Toyoshima, Yuki Nagai & Tomoya Yasunaga

  2. Department of Information and Computer Engineering, Okayama University of Science (OUS), 1-1 Ridaicho, Kita-ku, Okayama-shi, 700-0005, Japan

    Tetsuya Oda & Chiaki Ueda

  3. Department of Informention and Communication Engineering, Fukuoka Insitute of Technology, 3-30-1 Wajiro-Higashi-ku, Fukuoka, 811-0295, Japan

    Leonard Barolli

Authors
  1. Chihiro Yukawa
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  2. Tetsuya Oda
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  3. Kyohei Toyoshima
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  4. Yuki Nagai
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  5. Tomoya Yasunaga
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  6. Chiaki Ueda
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  7. Leonard Barolli
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Corresponding author

Correspondence to Tetsuya Oda .

Editor information

Editors and Affiliations

  1. Department of Information and Communication Engineering, Fukuoka Institute of Technology, Fukuoka, Japan

    Leonard Barolli

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Yukawa, C. et al. (2022). An Intelligent Robot Vision System for Recognizing Micro-roughness on Arbitrary Surfaces: Experimental Result for Different Methods. In: Barolli, L. (eds) Innovative Mobile and Internet Services in Ubiquitous Computing. IMIS 2022. Lecture Notes in Networks and Systems, vol 496. Springer, Cham. https://doi.org/10.1007/978-3-031-08819-3_22

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