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SYSTEM AND METHOD FOR RECOGNIZING METER INFORMATION BASED ON DEEP LEARNING

机译:基于深度学习的仪表信息识别系统及方法

摘要

Disclosed is a deep learning-based meter information recognition system and method. The present invention enables remote meter reading of the accumulated amount using a portable device, remote meter reading is possible without restrictions on the type and type of meter, and deep learning is performed so that accurate meter reading can be performed in various environments by minimizing the effect on the shooting environment. By automatically recognizing the accumulated quantity and unique number of the meter in the meter reading system used, a meter reader who installed an app linked to the meter information recognition system without installing a separate measuring means on the mechanical meter or remote meter reading through the user's portable device Can be done.
机译:公开了一种基于深度学习的仪表信息识别系统和方法。本发明使得能够使用便携式设备对累积量进行远程抄表,可以在不受抄表类型和类型的限制的情况下进行远程抄表,并且执行深度学习,从而可以通过最小化抄表来在各种环境中进行准确的抄表。对拍摄环境的影响。通过自动识别所使用的抄表系统中抄表的累计数量和唯一编号,抄表员安装了与抄表信息识别系统链接的应用程序,而无需在机械抄表或通过用户的远程抄表上安装单独的测量装置便携式设备可以完成。

著录项

  • 公开/公告号KR102162641B1

    专利类型

  • 公开/公告日2020-10-07

    原文格式PDF

  • 申请/专利权人 주식회사 애자일소다;

    申请/专利号KR20200045393

  • 发明设计人 김태윤;이안준;김상헌;

    申请日2020-04-14

  • 分类号G08C17/02;G06N3/08;

  • 国家 KR

  • 入库时间 2022-08-21 11:03:38

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