摘要
针对传统的防尾随门禁控制方法存在的门禁状态切换延时高的问题,基于人脸识别技术,设计了一种被动式红外防尾随门禁自动控制方法。首先使用图像预处理手段处理人脸图像,得到统一标准的人脸图像,然后构建人脸图像样本集合,通过计算得到人脸样本特征,并与实时获取的人脸图像相匹配,根据人脸图像识别结果设计门禁控制器,实时控制门禁状态。实验结果表明:与传统的门禁控制方法相比,在基于人脸识别的被动式红外防尾随门禁控制方法控制下,门禁状态切换时的延时明显缩短,说明该方法实际应用性较强。
In order to solve the problem of high state switching delay in traditional anti-tailing access control methods,a passive infrared anti-tailing access control method is designed based on face recognition technology.Firstly,the face image is processed by image preprocessing method to obtain unified standard face image,then the face image sample set is constructed,the face sample features are obtained through calculation,and matched with the face image acquired in real time.Based on the face image recognition results,an access control controller is designed to control the access control state in real time.The experimental results show that,compared with the traditional access control method,the time delay of the state switch of access control is obviously shortened under the control of the passive infrared anti-trailing access control method based on face recognition.
作者
井凤娟
JING Fengjuan(Qinghai Vocational College of Architecture,Xining 810012,China)
出处
《自动化与仪器仪表》
2020年第7期46-49,共4页
Automation & Instrumentation
基金
中国建设教育协会课题:“职业教育视角下”基于标准化工作流程的MAP现代学徒制人才培养模式的实践研究——以物业管理专业为例(No.2019281)。
关键词
人脸识别
防尾随
图像处理
门禁控制
face recognition
anti-trailing
image processing
access control
