人像视频动态识别系统在铁路客站应用方案

Application Scheme of Portrait Video Dynamic Recognition System in Railway Passenger Station

铁路客站传统安防系统属于被动式防御,措施相对乏力。基于深度学习的人像视频动态识别系统化被动为主动,采用人像视频动态识别技术对人群中重点人员进行主动识别、提前管控,更有效地实现“查缉追逃、反恐防暴、刑侦破案、治安管控、服务旅客”等功能。以某铁路客站人像视频动态识别系统设计为例,探讨人像视频动态识别技术的应用方案,为铁路客站安防系统优化设计与应用提供借鉴。

The traditional security system of railway passenger stations belongs to passive defense whose countermeasures are relatively weak.The portrait video dynamic recognition system based on in-depth learning features active defense instead of passive one,adopting the dynamic recognition technology of portrait video to actively identify and control key people in the crowd in advance,which realizes the functions of“seeking and seizing criminal,anti-terrorism and riot prevention,criminal investigation and case solving,public security control and serving passengers”in a more effective fashion.Taking the design of portrait video dynamic recognition system at railway passenger station as an example,this paper discusses the application scheme of portrait video dynamic recognition technology,which provides a reference for the optimization design and application of security system for railway passenger stations.