中国安全科学学报 ›› 2018, Vol. 28 ›› Issue (S1): 34-38.doi: 10.16265/j.cnki.issn1003-3033.2018.S1.007

• 安全工程技术科学 • 上一篇    下一篇

旅客自助进站系统的改进

蒋帅 工程师   

  1. 国家铁路局 安全技术中心, 北京 100891
  • 收稿日期:2018-03-10 修回日期:2018-05-28 出版日期:2018-06-30 发布日期:2020-11-20
  • 作者简介:蒋 帅 (1984—),男,黑龙江大庆人,硕士,主要从事测控技术与通信工程方面的研究。E-mail:406888777@qq.com。

Improvement of passenger self-service station system

JIANG Shuai   

  1. Safety Technology Center, National Railway Administration, Beijing 100036, China
  • Received:2018-03-10 Revised:2018-05-28 Online:2018-06-30 Published:2020-11-20

摘要: 为提高旅客进站速度,提升铁路安全保障水平,提出现有自助识别进站系统的改进技术方案。运用智能匹配系统及算法,结合现有视频系统,通过铁路购票系统及公安身份认证系统(或第三方认证系统)进行信息数据交互,实现真正意义上的刷脸进站,提高旅客通行速度,从而有效缓解旅客大量滞留车站,进一步提升铁路安全保障。结果表明:改进的系统增加了发送告知用户信息的功能,将人脸识别功能与后台信息对接、智能匹配;保证了验票工作的准确性,同时避免车站大量滞留旅客的情况,提升旅客服务质量;该系统还将与公安数据库对接,核实存在风险的旅客。

关键词: 铁路实名制, 通信原理, 智能匹配, 人脸识别技术, 铁路安全

Abstract: In order to improve the speed of passengers entering the station and improve the level of railway safety and security, an improved technical solution for the existing self-service recognition station system was proposed. Using the intelligent matching systems and algorithms, combined with existing video systems, the information data were shared through the railway ticketing system and public security identity authentication system (or third-party authentication system), hence realizing the goal of entering the station by scanning the passenger′s face and improve passenger travel speed. This will effectively alleviate the large number of passengers stranded at the station and further enhance the safety and security of the railway. The results show that the improved system has increased the ability to send information to inform users, matching face recognition functions with back-office information and intelligent matching, ensuring the accuracy of ticket checking work, avoiding the situation of a large number of passengers staying at the station, and improving passenger service quality. The system will also interface with the police database to verify the presence of passengers at risk.

Key words: railway real name system, communications principle, intelligent matching, face recognition technology, railway safety

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