使用面部识别和内联网连接的在线考勤系统

Vibhanshu Pant, Deepak Sharma, Annapurani. K, R. Sundar
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引用次数: 0

摘要

保持每天练习的出勤记录是一项艰巨的任务。记录员工考勤的传统方法是轻敲他们的身份证,然后使用指纹扫描仪。但由于新冠肺炎疫情,使用指纹扫描仪的考勤系统陷入停滞,目前尚未使用。以下系统依靠人脸识别和内部网连接来保存设施和员工的考勤记录。讨论了一种无源(不与扫描仪或传感器直接接触)、将用户限制在一定网络范围内的考勤系统。该系统的主要目标分为两个步骤,第一步从智能手机的前置摄像头捕获人脸,然后在图像中识别人脸,第二步将这些识别出来的外观和特征与存储在数据集中的信息进行对比,以进行确认。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Online Attendance Marking System Using Facial Recognition and Intranet Connectivity
Keeping up the attendance record with everyday exercises is a difficult task. The conventional method of marking staff attendance is by tapping their ID card and then using fingerprint scanner. But due to COVID-19 pandemic the attendance system of using fingerprint scanner is stalled and currently not in use. The following system depends on face recognition and intranet connectivity to keep up attendance record of facilities and staff. The paper discusses the attendance marking system that is passive (no direct contact with the scanner or sensor) and restricting the users within certain network. The main goal of this system is divided in two steps, in initial step face is snare from the front camera of the smart phone and it is then recognized in the picture and in the second step these distinguished appearances and features are contrasted with stored information in data set for confirmation.
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