使用组图像的自动考勤系统

Mihir Gujarathi, Aditya Paranjape, Bansi Shelke, Omkar Gokhale, Omkar Dhekane
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引用次数: 0

摘要

记录员工的出勤情况并对其进行跟踪对任何组织来说都是至关重要的,这个记录被用作许多其他事情的基准。由于有大量员工在那里工作,记录每个员工每天的出勤情况既累人又耗时。基于RFID、生物识别和其他技术的数字解决方案已经开发出来。然而,它们需要昂贵的硬件基础设施和持续的维护,这是不划算的。我们提出了一个革命性的实时考勤和记录系统,解决了所有这些问题,以满足数字时代对考勤的需求,没有欺骗或不道德的行为。我们的解决方案是一个用户友好的android应用程序,允许用户拍摄并上传需要记录出勤人员的群组快照。该应用程序有一个健壮的后端,可以通过检测用户的面部、提取这些面部、创建面部嵌入并将其与数据库中的面部进行比较来有效地识别每个用户。我们记录的识别时间是8.28秒。我们的解决方案有可能被任何公司快速采用,只需进行一些修改。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Automatic Attendance System using a Group Image
Marking employee attendance and keeping track of it is crucial to any organization, and this record is used as a benchmark for many other things. With an enormous number of employees working there, physically recording each employee's daily attendance is tiresome and time-consuming. Digital solutions based on RFID, biometrics and other technologies have been developed. However, they require expensive hardware in-frastructure and ongoing maintenance, which isn't cost-effective. We present a revolutionary real-time attendance marking and recording system that addresses all of these problems to meet the demand of the digital age for attendance marking without spoofing or unethical behaviors. Our solution is a user-friendly android application that allows users to take and upload a group snapshot of the people whose attendance needs to be noted. The application has a robust backend that effectively recognizes each user by detecting their faces, extracting those faces, creating face embeddings, and comparing them to those in the database. We have recorded the recognition time of 8.28 seconds. Our solution has the potential to be quickly adopted by any company with just a few modifications.
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