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Vehicle license plate specific system applying deep learning-based license plate image matching technique

机译:应用基于深度学习的车牌图像匹配技术的车牌特定系统

摘要

Provided is a vehicle license plate specific system applied with a deep learning-based vehicle license plate image matching method, comprising: a camera photographing an image of a vehicle located at a predetermined distance; a main server receiving image data of a plurality of vehicles linked with the camera and specifying the vehicle by objectifying a vehicle license plate using a deep learning artificial neural network and a license plate feature extraction algorithm; and a monitoring terminal linked with the main server and capable of monitoring unreleased and released vehicles in addition to the specified vehicle. By objectifying the shape of the vehicle license plate, a vehicle can be specified.
机译:提供了一种应用了基于深度学习的车辆牌照图像匹配方法的车辆牌照特定系统,该系统包括:照相机,其拍摄位于预定距离处的车辆图像;主服务器接收与相机链接的多个车辆的图像数据,并通过使用深度学习人工神经网络和车牌特征提取算法来使车辆车牌客观化来指定车辆;监视终端,其与主服务器链接,并且能够监视除了指定车辆以外的未发布和发布的车辆。通过确定车辆牌照的形状,可以确定车辆。

著录项

  • 公开/公告号KR101987618B1

    专利类型

  • 公开/公告日2019-06-10

    原文格式PDF

  • 申请/专利权人 YOON JAE MIN;

    申请/专利号KR20190022780

  • 发明设计人 YOON JAE MIN;

    申请日2019-02-26

  • 分类号G06K9/32;G06K9/62;G06N3/08;

  • 国家 KR

  • 入库时间 2022-08-21 11:48:25

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