Automated Attendance System, Mask Detection and Social Distancing Violation Tracker for Post Covid Scenarios

Abstract

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.