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Autonomous Platen Detection on ROS by YOLOv5

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Exploration of Novel Intelligent Optimization Algorithms (ISICA 2021)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1590))

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Abstract

This paper presents an automatic switch status detection method of substation electrical control cabinet based on robot operating system (ROS). ROS is a framework containing many reusable software feature packs as well as visualization and debugging tools, providing an ideal environment for any robotics project development. In this paper, an inspection robot is composed of a sliding platform and a camera installed on the Ackman trolley, and the sliding platform and the camera installed on it are controlled by ROS to automatically take photos of the protective platen. Important contributions are as follows: (1) a sliding platform is installed on the robot, and the sliding platform drives the camera to take photos in front of the control panel; (2) YOLOv5 is used to detect the switching state of the electrical control cabinet in the substation. (3) Sort the detection results of YOLOv5 and remove the overlap box.

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Acknowledgement

This work is supported by the Key Field Special project of Guangdong Provincial Department of Education with No. 2021ZDZX1029.

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Authors and Affiliations

  1. College of Mathematics and Informatics, South China Agricultural University, Guangzhou , 510642, Guangdong , China

    Kangshun Li, Xuling Huang & Wenxiang Wang

  2. School of Computer and Information, Dongguan City University, Dongguan, 523808, Guangdong, China

    Kangshun Li, Xuling Huang & Wenxiang Wang

Authors
  1. Kangshun Li
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  2. Xuling Huang
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  3. Wenxiang Wang
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Corresponding author

Correspondence to Xuling Huang .

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Editors and Affiliations

  1. South China Agricultural University, Guangzhou, China

    Kangshun Li

  2. The University of Aizu, Aizu-Wakamatsu, Japan

    Yong Liu

  3. South China Agricultural University, Guangzhou, China

    Wenxiang Wang

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Li, K., Huang, X., Wang, W. (2022). Autonomous Platen Detection on ROS by YOLOv5. In: Li, K., Liu, Y., Wang, W. (eds) Exploration of Novel Intelligent Optimization Algorithms. ISICA 2021. Communications in Computer and Information Science, vol 1590. Springer, Singapore. https://doi.org/10.1007/978-981-19-4109-2_41

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  • DOI: https://doi.org/10.1007/978-981-19-4109-2_41

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-19-4108-5

  • Online ISBN: 978-981-19-4109-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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