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Current Issue

  • Configuration Scheme of Facial Recognition Algorithm for Urban Rail
  • Zhang Bingsen, Qiao Ningning, Fu Baoming, Zhang Ning
  • 2025 Vol. 22 (2): 91-97. DOI:10.3969/j.issn.1673-4440.2025.02.014
  • Abstract ( ) PDF (1489KB)( )
  • The facial recognition algorithm is the core of facial recognition applications, and its configuration methods need to be systematically analyzed, to provide a scientific guidance plan for the construction of facial recognition systems. Firstly, this paper introduces the system architecture of the facial recognition platform, analyzes the process of facial recognition applications, the functional positioning of the service management platform and the facial algorithm platform, and clarifies the importance of facial algorithms. Then, in view of the service requirements of the rail transit ticketing system and the technical characteristics of facial recognition, it proposes three configuration schemes for facial recognition algorithms in the ticketing system: single algorithm configuration, dual algorithm configuration in main and backup mode, and dual algorithm configuration in dual active mode. Finally, it carries out a comprehensive comparison of various schemes from the aspects of construction and maintenance costs, reliability, scalability, etc., analyzes the scheme adaptability for cities with different scales, and proposes optimization suggestions for the drawbacks of different schemes. The research on facial algorithm configuration schemes can provide certain reference for the construction of facial recognition systems for urban rail transit.
  • Research on Scheme of Online Sharing Platform for Video Surveillance
  • Lin Jianping
  • 2025 Vol. 22 (2): 98-103. DOI:10.3969/j.issn.1673-4440.2025.02.015
  • Abstract ( ) PDF (1206KB)( )
  • With the continuous expansion of urban rail transit networks, the drawbacks of separate construction between public security and operational video surveillance systems have become prominent. The systems cannot be shared, resulting in resource wasting. The interfacing between platforms is difficult, the structure of the networks is complex, and the expansion of the systems is not easy. Starting from the service objects and usage functions of the video surveillance system in rail transit, this paper analyzes the conditions for deep integration in rail transit, and establishes the scheme of online sharing platform for video surveillance in rail transit, to build a two-level platform including the line network level and the line level. The public security sub-bureaus, police stations and line network operation and commanding centers are considered as users of the online sharing platform, while the station police offices and line operation and dispatching centers are taken as users of the line platform, to achieve deep sharing between video surveillance systems for public security and operations, simplify the network structure, and reduce the platform interfacing times. At the same time, the proposed sharing platform scheme creates conditions for building relatively independent facial analysis and comparison system for operations and public security, to achieve their respective facial data application functions.
Railway Signalling & Communication Engineering
  • 月刊 Monthly
  • 第22卷 第3期 总第期
  • Vol.22 No.3 S.No.
  • 出版: 2025-03-21
  • Published on:
  • 创刊:2004 年
  • First Issue: 2004