基于数据分析的人脸识别考勤管理系统

T. Lekhaa, R. Ashok kumar
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引用次数: 1

摘要

人脸识别系统在各种情况下使用。在这个数字时代,每个行业都受到影响。人脸识别是应用最广泛的生物识别技术之一。它可以用于各种各样的事情。除其他事项外,安全性、身份验证和标识都很重要。考虑到与视网膜和指纹识别相比,它的准确性有限,而且由于它是一种流行的识别方法,它被广泛使用。考勤跟踪系统的人脸识别也可用于教育机构和组织。由于现行手册已经过时,建立和维护考勤系统需要很长时间。本方法的根本目的是建立一个考勤系统,该系统采用了人脸识别技术。也可以选择让代理人出席。因此,对这个系统的需求越来越大。数据库开发、人脸检测、人脸识别、考勤更新是本系统的四个步骤。孩子们在课堂上的照片被用来生成数据库。
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Face Recognition Attendance Management System Based on Data Analytics
Face recognition systems are utilised in a variety of situations. In this digital age, every industry is affected. One of the most well-known Face recognition is one of the most widely used biometrics. It can be used for a variety of things. Among other things, security, authentication, and identification are all important. Considering its limited accuracy when compared to retina and thumbprint recognition, and because it is a popular method of identification, it is widely used. Recognition of people's faces for Attendance tracking systems can also be utilised in Educational Institutions, Organizations. Because the Current manual is outdated, It takes a long time to set up and maintain an attendance system. Fundamentally, this approach aims to establish a class attendance system Face recognition technology is used in this system. There's also the option of having a proxy attend. As a result, As a result, demand for this system is increasing. Database development, face detection, face recognition, and attendance updating are the four steps of this system.The photos of the kids in class are used to generate the database.
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