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作 者:袁国麟 YUAN Guolin(West Yunnan University,Lincang Yunnan 677000,China)
出 处:《自动化与仪器仪表》2021年第5期145-148,152,共5页Automation & Instrumentation
基 金:云南省教育厅科学研究基金项目:边疆地区高校智慧校园建设及创新应用的探索与研究(No.2017ZDX070)。
摘 要:针对传统的联网式多通道门禁考勤智能控制方法数据采集方式不灵活,导致控制效率低,识别能力差等问题,基于人脸识别研究了一种新的联网式多通道门禁考勤智能控制方法。通过人脸识别实现人脸图形的采集和存储,通过区分生物特征实现智能识别,通过计算机实现对安防装置的控制,结合非数学广义知识在熟悉或陌生的环境中自动地完成拟人任务。为验证方法有效性,设定对比实验,结果表明,基于人脸识别的联网式多通道门禁考勤智能控制方法能够有效提高控制效率,增强识别能力。In view of the traditional multi-channel access and attendance intelligent control method, the data collection method is not flexible, resulting in low control efficiency, poor recognition ability and other problems.Therefore, this paper studies a new intelligent control method of multi-channel access and attendance based on face recognition.Face recognition is used to achieve the collection and storage of face graphics, biological features are used to achieve intelligent recognition, and computer control is used to achieve The control of security devices, combined with non-mathematical general knowledge, automatically completes humanoid tasks in familiar or unfamiliar environments.In order to verify the validity of the method, a comparative experiment is set up.The results show that the intelligent control method of multi-channel access control based on face recognition based on face recognition can effectively improve the control efficiency and enhance the recognition ability.
分 类 号:TP18[自动化与计算机技术—控制理论与控制工程]
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