An Electronic and Web-Based Authentication, Identification, and Logging Management System

IF 1.7 Q2 ENGINEERING, MULTIDISCIPLINARY Journal of Engineering Pub Date : 2024-01-01 DOI:10.31026/j.eng.2024.01.01
A. Ibhaze, Onyekachukwu A. Aribeana
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引用次数: 0

Abstract

The need for participants’ performance assessments in academia and industry has been a growing concern. It has attendance, among other metrics, is a key factor in engendering a holistic approach to decision-making. For institutions or organizations where managing people is an important yet challenging task, attendance tracking and management could be employed to improve this seemingly time-consuming process while keeping an accurate attendance record. The manual/quasi-analog approach of taking attendance in some institutions could be unreliable and inefficient, leading to inaccurate computation of attendance rates and data loss. This work, therefore, proposes a system that employs embedded technology and a biometric/ web-based application to enhance attendance management. The hardware encompasses the integration of an ESP8266 NodeMCU and the biometric AS608 fingerprint sensor interfaced with the database for which the front-end and back-end integration was through the React framework. The system uses a web application that displays the attendance results and scheduled course data from its database, provides feedback to lecturers on which student missed classes and calculates a student’s average attendance for the semester. By implementing this system, the accuracy of student attendance is expected to experience an appreciable improvement, eliminate proxy signing, provide a more secure alternative for attendance recording, curtail tardiness to classes, and ultimately improve student productivity on execution.
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基于网络的电子认证、识别和日志管理系统
学术界和产业界对参与者绩效评估的需求日益受到关注。除其他指标外,出勤率也是促成全面决策的关键因素。对于机构或组织而言,人员管理是一项重要而又具有挑战性的任务,因此可以采用考勤跟踪和管理来改进这一看似耗时的过程,同时保持准确的考勤记录。一些机构采用的人工/准模拟考勤方法可能不可靠、效率低,导致出勤率计算不准确和数据丢失。因此,这项工作提出了一个采用嵌入式技术和生物识别/网络应用程序的系统,以加强考勤管理。硬件包括一个 ESP8266 NodeMCU 和与数据库连接的生物识别 AS608 指纹传感器,前端和后端通过 React 框架集成。该系统使用一个网络应用程序,显示数据库中的考勤结果和预定课程数据,向讲师反馈哪些学生缺课,并计算学生的学期平均出勤率。通过实施该系统,学生考勤的准确性有望得到明显改善,消除代理签名现象,为考勤记录提供更安全的替代方案,减少上课迟到现象,并最终提高学生的执行效率。
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来源期刊
Journal of Engineering
Journal of Engineering ENGINEERING, MULTIDISCIPLINARY-
CiteScore
4.20
自引率
0.00%
发文量
68
期刊介绍: Journal of Engineering is a peer-reviewed, Open Access journal that publishes original research articles as well as review articles in several areas of engineering. The subject areas covered by the journal are: - Chemical Engineering - Civil Engineering - Computer Engineering - Electrical Engineering - Industrial Engineering - Mechanical Engineering
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