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LPR system having vehicle kind recognition based on deep learning and method thereof

机译:基于深度学习和方法的LPR系统具有车辆种类识别

摘要

Disclosed is an LPR system and method having a vehicle model recognition function based on deep learning. The LPR system equipped with a deep learning-based vehicle type recognition function detects the vehicle license plate from at least one frame included in the received video information and an input module that receives video information captured from a camera installed in the vehicle's entry and exit direction. An object detecting module for, an OCR module for recognizing the vehicle number of the detected license plate, a vehicle model recognition module for recognizing the vehicle type of the vehicle, and the vehicle number and information on the recognized vehicle type are stored in correspondence and stored. And a control module that checks the vehicle type information corresponding to the vehicle number recognized when the vehicle is unloaded and calculates a fare according to a fare policy corresponding to the vehicle type.
机译:公开了一种基于深度学习的车辆模型识别功能的LPR系统和方法。配备有基于深度学习的车型识别功能的LPR系统从接收的视频信息中包括的至少一个帧检测车辆牌照和从安装在车辆进入和退出方向上的摄像机捕获的视频信息的输入模块。用于识别检测到的牌照的车辆数量的OCR模块的对象检测模块,用于识别车辆的车辆类型的车辆模型识别模块以及识别的车辆类型的车辆数量和信息的对应关系存储。并且控制模块,其检查与车辆卸载时识别的车辆数量相对应的车辆类型信息,并根据与车辆类型对应的票价政策计算票价。

著录项

  • 公开/公告号KR20210023451A

    专利类型

  • 公开/公告日2021-03-04

    原文格式PDF

  • 申请/专利权人 주식회사 딥하이;

    申请/专利号KR1020190103643

  • 发明设计人 심충섭;하영광;

    申请日2019-08-23

  • 分类号G06K9/32;

  • 国家 KR

  • 入库时间 2022-08-24 17:31:55

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