基于百度云AI的自动售检票系统人脸识别应用可行性分析

Feasibility Analysis of Face Recognition Applied in Automatic Fare Collect System Based on Baidu Cloud AI

人脸识别作为生物识别技术的重要分支,因其非接触性特点,在身份认证方面已经获得广泛应用。百度云AI作为智能云平台已经开放轻量级人脸识别和认证的应用服务。基于该服务不需要重复研发人脸识别算法,短期即可完成“刷脸”乘车环境搭建。分析了基于百度云AI(人工智能)技术快速建立轨道交通AFC(自动售检票)系统人脸身份识别应用场景的可行性。

As an important branch of biological recognition technology,face recognition is widely used in identity authentication because of the non-contact characteristics.Baidu Cloud AI is an intelligent cloud platform,it has opened the application service of lightweight face recognition and authentication.Since the service does not need repeatedly develop the face recognition algorithm,the riding environment with“face swiping”can be built in a short time.Based on Baidu Cloud AI technology,the feasibility of fast establishment of face recognition application scenario for rail transit automatic fare collection(AFC)system is analyzed.