基于人脸识别的班级管理及考勤系统

S. Pawaskar, Ashwini Chavan
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引用次数: 5

摘要

手动考勤确实是一项繁琐的任务,它消耗了大量的讲课时间,导致效率降低和时间浪费。为了解决这种浪费时间的问题,迫切需要一种可靠、高效、节省时间的自动化考勤系统。近年来,机器学习正在增强并使人类生活变得更加智能,因此在日常琐事和任务中遵循或使用相同的传统方法就像毫无理由地浪费时间,精力和努力。本文主要研究了一个自动考勤系统的实现,该系统采用人脸识别算法来记录班级的出勤情况,并对班级数据库进行管理。该系统力求将其应用于每个教室,以智能的方式记录学生的出勤情况,取代传统的出勤方式。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Face Recognition based Class Management and Attendance System
Conducting attendance manually is indeed a tedious task, it consumes a lot of the lecture hours which leads to less productivity and waste of time. To get over such dissipation of time, there is a dire need of an automated attendance system which is reliable, efficient, and which saves time. In recent times, machine learning is enhancing and making human life smart and hence following or using the same old traditional approaches in daily chores and tasks is like wasting the time, energy, and efforts for no reason. This paper concentrates on the implementation of an automated attendance system which uses the face recognition algorithms to record the attendance of the class and manage the class database. The system seeks for its application in every classroom to record the attendance of the students smartly and take over the traditional attendance approaches.
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