新冠疫情后的自动考勤系统、口罩检测和社交距离违规跟踪器

Jenish Hirpara, Mihir Shah, D. Nanda, Pratik Kanani
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摘要

由于COVID-19的致命影响,许多国家实施了封锁,导致办公室大量积压。很多员工的工作时间会发生变化,日程安排也会发生变化,这使得人工考勤系统的效率降低。员工们忙于工作,很难在办公空间保持社交距离。在需要促进安全和健康的工作环境的时候,一个人的错误可能会对他/她的同事造成无法弥补的伤害。为了解决上述问题,我们实施了一个通过QR扫描仪记录考勤的自动考勤系统,一个使用物联网和机器学习实现的违规跟踪器,跟踪社交距离和口罩违规总数,一个网站和一个应用程序来显示结果。我们的软件提供了一个干净易用的用户界面,使用户能够登录,查看他的工作日历,记下他/她工作场所的重要公告,跟踪用户的出勤情况,并生成用户独有的QR码。
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Automated Attendance System, Mask Detection and Social Distancing Violation Tracker for Post Covid Scenarios
The lockdown imposed in many countries due to the deadly effects of COVID-19 caused a huge backlog in offices. A lot of employees have a shift in their working hours and changes in their schedule which makes the manual attendance system less efficient. Employees are preoccupied with the workload so much that it becomes difficult to maintain social distancing in the office space. During these times, where a safe and healthy work environment should be promoted, a mistake from a single person can do irreparable damage to his/her peers. In order to tackle the above problems, we have implemented an automated attendance system to record attendance via QR Scanner, a violation tracker implemented using Internet of Things and Machine Learning which tracks the total number of social distancing and mask violations, a website and an app to display the results. Our software provides a clean and easy to use user-interface which gives the ability to the user to login, view his work calendar, take a note of important announcements made at his/her workplace, keep a track of user’s attendance, and generate a QR code which is unique just to the user.
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