铁路通信信号工程技术2024,Vol.21Issue(12) :97-101.DOI:10.3969/j.issn.1673-4440.2024.12.015

基于计算机视觉技术的新一代AFC检票机研究

Research on New AFC Ticket Checking Machine Based on Computer Vision Technology

边毅 李爱琦
铁路通信信号工程技术2024,Vol.21Issue(12) :97-101.DOI:10.3969/j.issn.1673-4440.2024.12.015

基于计算机视觉技术的新一代AFC检票机研究

Research on New AFC Ticket Checking Machine Based on Computer Vision Technology

边毅 1李爱琦2
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作者信息

  • 1. 北京市轨道交通建设管理有限公司,北京 100068
  • 2. 北京全路通信信号研究设计院集团有限公司,北京 100070;列车自主运行智能控制铁路行业工程研究中心,北京 100070
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摘要

为解决传统门式自动检票机目前存在的问题,提出一种基于计算机视觉和人工智能技术的新一代自动检票机.新一代自动检票机利用视觉传感器采集监视范围内的图像信息,并通过通行控制模块对收到的信息进行精确计算和智能处理,精准计算出行人或行李位置信息,通过主控单元与其他模块进行联动来控制阻挡装置开启或关闭.新一代自动检票机的乘客通行速率略高于传统门式自动检票机,具有更高的安全性、低故障率和占地面积小等特点,在工程建设中可考虑作为一种新的自动检票机选型方案采用.

Abstract

To solve the current problems of traditional gate-type automatic ticket machine(AGM),this paper proposes a new AGM based on the computer vision and artificial intelligence technologies.The new AGM collects image information within the monitoring scope through visual sensors.It accurately calculates and intelligently processes the received information through the traffic control module,thus accurately deriving the traveler or luggage location information.It controls the opening or closing of the blocking device through linked control between the main control unit and other modules.The new AGM achieves a slightly higher passenger traffic speed than the traditional gate-type AGM,and has such features as higher safety,low failure rate,and small floor space.It can be considered as a new AGM solution in engineering construction.

关键词

通行逻辑/视觉传感器/通行控制模块/人工智能/计算机视觉技术/自动售检票系统

Key words

traffic logic/visual sensor/traffic control module/artificial intelligence/computer vision technology/Automatic Fare Collection(AFC)system

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出版年

2024
铁路通信信号工程技术
北京全路通信信号研究设计院有限公司

铁路通信信号工程技术

影响因子:0.313
ISSN:1673-4440
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