摘要
随着上海城市轨道交通的高速发展,城市轨道交通公共安全领域的安全防范与管理面临着巨大的挑战。在城市轨道交通重点车站、重点区域布设人脸抓拍摄像机,利用人脸识别技术实现人脸大数据的整合、分析、判断与应用,可大大提升城市轨道交通公安民警的办事效率,化解人员管控难题,很好地解决城市轨道交通区域安全智能化管控的短板。
With the rapid development of urban rail transit in Shanghai,the safety prevention and management in urban rail transit public safety field are facing huge challenges.By deploying facial capture cameras at key areas of major rail transit stations,the face recognition technology is used to integrate,analyze,judge and apply the facial big data.This measure could greatly improve the efficiency of rail police force,alleviate personnel control problems,and finally solve the shortcomings in intelligent management and control of rail transit regional safety.
作者
徐首峰
XU Shoufeng(Telecom&Signal Branch,Shanghai Metro Maintenance Support Co.,Ltd.,200235,Shanghai,China)
出处
《城市轨道交通研究》
北大核心
2020年第S02期164-167,共4页
Urban Mass Transit
关键词
城市轨道交通
公共安全防护
人脸识别技术
urban rail transit
public safety prevention
face recognition technology
