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Apparatus for Detection and Classification of Vehicle Using Machine Learning in Expressway Toll Collection System

机译:高速公路收费系统中基于机器学习的车辆检测与分类装置

摘要

The present embodiments obtain a vehicle number by analyzing an image photographed of a vehicle through a classification model applying machine learning, and obtain a vehicle shape by analyzing 3D data that detects the appearance of the vehicle, and obtain the vehicle number and vehicle number. It provides a vehicle separation detector of a highway toll payment system that automates the detection of vehicle separation while enhancing data security by converting triple data including the acquired location and the date and time of obtaining the vehicle number into a predetermined data structure.
机译:本实施例通过应用机器学习通过分类模型来分析车辆拍摄的图像来获得车辆编号,并且通过分析检测车辆外观的3D数据来获得车辆形状,并获得车辆编号和车辆编号。它提供了一种高速公路通行费支付系统的车辆分离检测器,其通过将包括获取的位置以及获取车辆号的日期和时间的三重数据转换成预定的数据结构来自动化车辆分离的检测,同时增强了数据安全性。

著录项

  • 公开/公告号KR102157848B1

    专利类型

  • 公开/公告日2020-09-18

    原文格式PDF

  • 申请/专利权人 KOREA INFORMATION & TECHNOLOGY;

    申请/专利号KR20200045248

  • 发明设计人 김대휘;김유종;곽정희;

    申请日2020-04-14

  • 分类号G07B15/06;G06K9/32;G06K9/62;G06N20;G07B1;

  • 国家 KR

  • 入库时间 2022-08-21 11:03:47

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