A SYSTEM FOR MANAGING ATTENDANCE OF ACADEMIC STAFF MEMBERS IN UNIVERSITY DEVELOPMENT PROGRAMS USING FACE RECOGNITION

W. ElSaid
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引用次数: 3

Abstract

great development in all aspects of the life imposes new changes on various organizations. Since the academic institutions are not isolated from the real world events, they have sought to build an integrated strategy for developing their activities and services to keep pace with the new reality. One of the major development areas in the university sector is the improvement of the academic staff members’ skills on both the leadership and academic levels through a series of certified development programs. Until now, recording the members’ attendance in these programs depends on traditional manual methods which have many drawbacks. Therefore, the current study presents an automatic system based on face recognition technology to address these drawbacks.The proposed system includes five main steps: capturing member image, detecting member face, extracting facial features, comparing facial features and creating target reports. The system usefulness can be viewed form two major aspects.Aspect-1; is the accuracy rate in which proposed system achieved significant performance under ideal imaging conditions and achieved acceptable performance under un-ideal imaging conditions compared with some other systems in the same field. Aspect-2; is the cost rate in which the proposed system does not require an expensive settings, making it an appropriate choice for various educational institutions.
在大学发展项目中使用人脸识别技术管理学术人员出勤的系统
生活各方面的大发展给各种组织带来了新的变化。由于学术机构并非孤立于现实世界的事件之外,它们力求制定一项综合战略,以发展其活动和服务,以跟上新的现实。大学部门的主要发展领域之一是通过一系列认证发展计划提高学术人员在领导和学术水平上的技能。到目前为止,在这些节目中记录成员的出勤依赖于传统的手工方法,有很多缺点。因此,目前的研究提出了一种基于人脸识别技术的自动系统来解决这些缺点。该系统包括五个主要步骤:捕获成员图像、检测成员面部、提取面部特征、比较面部特征和创建目标报告。系统的有用性可以从两个主要方面来看待。是与同领域的其他系统相比,所提出的系统在理想成像条件下取得显著性能和在非理想成像条件下取得可接受性能的准确率。Aspect-2;是所建议的系统不需要昂贵设置的成本率,使其成为各种教育机构的合适选择。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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