基于Stm32的高校课堂考勤系统

Wenxuan Zhao, Yichao Zhao, Chulei Zhu
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引用次数: 0

摘要

根据高校课堂教学的要求,设计了一种具有指纹识别和人脸识别功能的自动考勤装置。本系统以STM32为核心,采用WIFI模块、指纹模块、GSM模块和基于PCA算法的人脸识别技术实现身份识别,满足高校课堂考勤的需求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Attendance System Based on Stm32 in College Classroom
According to the requirements of university classroom teaching, an automatic attendance device is designed, which has the functions of fingerprint recognition and face recognition. STM32 is the core of the system, using WIFI module, fingerprint module, GSM module and face recognition technology based on PCA algorithm to achieve identity recognition, to meet the needs of attendance in University Classrooms.
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