Chinese Journal of Liquid Crystals and Displays, Volume. 38, Issue 7, 985(2023)

Design of image-based intelligent meter reading system for wheel meters

Yun-di GU1, Wang-ming XU1,2、*, and Qin HE1
Author Affiliations
  • 1School of Information Science and Engineering,Wuhan University of Science and Technology,Wuhan 430081,China
  • 2Engineering Research Center for Metallurgical Automation and Detecting Technology of Ministry of Education,Wuhan University of Science and Technology,Wuhan 430081,China
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    References(28)

    [5] WU Z P, ZHANG Z M, LI D et al. Design and implementation of intelligent water meter reading system based on NB-IoT[J]. Transducer and Microsystem Technologies, 38, 93-95(2019).

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    [17] WANG W, XU W M, WU S Q et al. Double half-character recognition for wheel-type meter based on convolutional neural network[J]. Journal of Wuhan University of Science and Technology, 44, 68-73(2021).

    [20] MA X W. Research on remote transcription technology of pointer type industrial instrument based on image recognition[D](2021).

    [21] JIANG Y J. Power meter visual proofreading system based on deep learning[D](2020).

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    [26] DI L, TU J X, YU J. Digital recognition of water meter based on combined features fusion of Lenet-5 network[J]. Machine Building & Automation, 49, 189-192(2020).

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    Yun-di GU, Wang-ming XU, Qin HE. Design of image-based intelligent meter reading system for wheel meters[J]. Chinese Journal of Liquid Crystals and Displays, 2023, 38(7): 985

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    Paper Information

    Category: Research Articles

    Received: Aug. 21, 2022

    Accepted: --

    Published Online: Jul. 31, 2023

    The Author Email: Wang-ming XU (xuwangming@wust.edu.cn)

    DOI:10.37188/CJLCD.2022-0275

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