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A Vision-Based Measurement and Classification System for Robot Arm Under Controlled Lighting Condition

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Advances in Engineering Research and Application (ICERA 2020)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 178))

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Abstract

This paper presents development of a measurement and classification system for robot arm using machine vision under controlled lighting environment. The proposed system uses a single camera as a sensor for measuring and classifying objects which are bolts and nuts. Using image processing and analysis, characteristics of objects was extracted and area of blob in binary image also was calculated for classification process. For coordinate calibration process, the quadratic transformation and regression analysis were used to determine relationship between image coordinate and the world coordinate. Experiment results showed that the proposed system can measure and classify the components exactly of 100% from all samples tested and measurement errors are suitable with the system which applied to a robot arm.

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Author information

Authors and Affiliations

  1. National Kaohsiung University of Science and Technology, 415 Chien Kung Road, Sanmin District, Kaohsiung, 80778, Taiwan, ROC

    Quang-Cherng Hsu

  2. Thai Nguyen University of Technology, No. 666, 3/2 Street, Thai Nguyen City, Vietnam

    Ngoc-Vu Ngo, Thanh-Long Pham, Quoc-Khanh Duong & Duc-Vuong Vu

Authors
  1. Quang-Cherng Hsu
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  2. Ngoc-Vu Ngo
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  3. Thanh-Long Pham
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  4. Quoc-Khanh Duong
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  5. Duc-Vuong Vu
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Corresponding author

Correspondence to Ngoc-Vu Ngo .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Automation, Ilmenau University of Technology (IUT), Ilmenau, Germany

    Kai-Uwe Sattler

  2. Faculty of Electronic Engineering, Thai Nguyen University of Technology, Thai Nguyen, Vietnam

    Duy Cuong Nguyen

  3. Faculty of Mechanical Engineering, Thai Nguyen University of Technology, Thai Nguyen, Vietnam

    Ngoc Pi Vu

  4. Hanoi University of Science and Technology, Hanoi, Vietnam

    Banh Tien Long

  5. Institute for Automation and Systems Engineering, Ilmenau University of Technology (IUT), Ilmenau, Germany

    Horst Puta

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Hsu, QC., Ngo, NV., Pham, TL., Duong, QK., Vu, DV. (2021). A Vision-Based Measurement and Classification System for Robot Arm Under Controlled Lighting Condition. In: Sattler, KU., Nguyen, D.C., Vu, N.P., Long, B.T., Puta, H. (eds) Advances in Engineering Research and Application. ICERA 2020. Lecture Notes in Networks and Systems, vol 178. Springer, Cham. https://doi.org/10.1007/978-3-030-64719-3_14

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  • DOI: https://doi.org/10.1007/978-3-030-64719-3_14

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-64718-6

  • Online ISBN: 978-3-030-64719-3

  • eBook Packages: EngineeringEngineering (R0)

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