Non-Contact Temperature Detection, Face Mask Detection, and Attendance Updation System using Facial Recognition Technique

As communities are suffering from the COVID-19 pandemic, cross-contamination of the virus between the employees is a huge risk factor. To mark the attendance of individual employees, the swiping cards or biometrics are normally in use. This can be an easy medium for the exchange of infection which leads to a widespread of the virus. Adding to this factor, not wearing a mask also contributes to the viral spread. This can be avoided using non-contact temperature assessment device. As a part of an initial inspection at entry points, this can be used to identify people who may have elevated temperatures which is indication of a possibility of a person who may have contracted the COVID-19 infection. While the device dispenses sanitizer on arrival, this is developed to replace the current method of manual temperature scanning that exposes front line workers directly to possibly infected persons during examination. Apart from detecting the temperature, the system also uses HOG algorithm for face recognition and updates the employee attendance. This rules out the spread of virus through swipe of card or biometrics. The system also detects if the employee is wearing a mask and ensures that COVID protocol of essential masking is guaranteed. If the employee has an elevated temperature then, the employee is referred to the on-campus physician, the appointment for which is automatically made using the system generated SMS for preliminary evaluation. If the employee needs further evaluation the physician updates the same in the database for processing medical leave.