基于InsightFace算法高校课堂智能考勤应用  

Intelligent Classroom Attendance Application in Colleges and Universities Based on InsightFace Algorithm

作　　者：胡修齐 HU Xiuqi(Guizhou Normal University,Guiyang 550025,China)

机构地区：[1]贵州师范大学,贵州贵阳550025

出　　处：《现代信息科技》2025年第6期52-56,共5页Modern Information Technology

摘　　要：传统的高校考勤方式,如点名、RFID刷卡等,存在效率低下、容易代签、漏签等问题;现有的人脸考勤系统大多使用学生终端设备参与考勤活动虽然提高了身份验证的准确性,但无法确认其是否在规定的场景下进行,给造成师生不便。鉴于此,采取一种基于InsightFace算法高校课堂智能考勤系统。通过布设在考勤情景下具体位置的多组人脸图像采集终端捕捉每位学生的面部信息,在云服务器上集中识别处理。该系统快速、准确地实现考勤记录且有效地减少错签,漏签,代签等行为发生。同时,使用该系统无须师生对考勤做出额外工作,进而提升课堂效率。The traditional attendance methods in colleges and universities,such as roll call,RFID card,and so on,exist problems such as low efficiency,easy to sign on behalf,missing signature.Most of the existing face attendance systems use student terminal devices to participate in attendance activities,although the accuracy of identity verification is improved,but it is impossible to confirm whether it is carried out under the specified scenarios,causing inconvenience to teachers and students.In view of this,an intelligent class attendance system in colleges and universities based on InsightFace algorithm is adopted.The face information of each student is captured through multiple groups of face image acquisition terminals arranged in the specific position of the attendance situation,and centrally recognized and processed on the cloud server.The system quickly and accurately realizes the attendance record and effectively reduces the wrong signature,missing signature,signing on behalf and other behaviors.At the same time,the use of this system does not require teachers and students to make extra work on attendance,so as to improve classroom efficiency.

关 键 词：InsightFace 嵌入式人工智能 端云协同 人脸识别 智能考勤 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]