Journal of Applied Optics, Volume. 45, Issue 4, 804(2024)

Electric meter data detection based on global and local multi-scale context

Tianlei MA, Jun FU*, Qi MA, Zhen YANG, and Xinhao LIU
Author Affiliations
  • School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou 450001, China
  • show less
    References(22)

    [1] ZHANG Hui. Watt-hour meter visual identity technology based on contour extraction[J]. Automation Application, 52-54(2011).

    [3] CHEN Ying, JIANG Wenfeng, YANG Fengyu et al. Research on digits recognition algorithm of intelligent electric meter[J]. Information & Communications, 33, 17-21(2020).

    [4] YANG Juan. Research and implementation of image recognition technology of watt-hour meter based on digital image processing[D](2012).

    [5] ZENG Weiming. Research on reading recognition method of intelligent electric meter based on digital image processing technology[J]. Heilongjiang Electric Power, 44, 467-470(2022).

    [6] PAN Yusheng. Research on the reading recognition method of smart meter based on image processing[D](2021).

    [7] SHEN Meili. Detection and recognition of digital ammeter image[J]. Modern Electronics Technique, 45, 110-114(2022).

    [11] LIU W, ANGUELOV D, ERHAN D et al. SSd: single shot multibox detector[M]. Computer Vision–ECCV 2016, 21-37(2016).

    [12] TAN M X, PANG R M, LE Q V. EfficientDet: scalable and efficient object detection[C], 10781-10790(2020).

    [13] GIRSHICK R, DONAHUE J, DARRELL T et al. Rich feature hierarchies for accurate object detection and semantic segmentation[C], 580-587(2014).

    [15] HE K M, GKIOXARI G, DOLLAR P et al. Mask R-CNN[C], 2961-2969(2017).

    [16] GAO Xuefei, YU Wei, CHENG Fei et al. Research on pointer electric meter reading detection method based on convolutional neural network[J]. Electronics Garden, 116-117(2021).

    [17] ZHANG Jun, YANG Guang, HU Dongsheng et al. An automatic reading algorithm of power meter based on YOLOv3 and attention mechanism[J]. Electric Power Information and Communication Technology, 19, 82-87(2021).

    [19] LAROCA R, BARROSO V, DINIZ M A et al. Convolutional neural networks for automatic meter reading[J]. Journal of Electronic Imaging, 28, 1-14(2019).

    [20] HE K M, ZHANG X Y, REN S Q et al. Deep residual learning for image recognition[C], 770-778(2016).

    [22] FU J, LIU J, TIAN H J et al. Dual attention network for scene segmentation[C], 3146-3154(2019).

    Tools

    Get Citation

    Copy Citation Text

    Tianlei MA, Jun FU, Qi MA, Zhen YANG, Xinhao LIU. Electric meter data detection based on global and local multi-scale context[J]. Journal of Applied Optics, 2024, 45(4): 804

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category: Research Articles

    Received: Jul. 7, 2023

    Accepted: --

    Published Online: Oct. 21, 2024

    The Author Email: Jun FU (符俊)

    DOI:10.5768/JAO202445.0403006

    Topics