Date of Publication :20th June 2022

Abstract: Cross-contamination of the virus among employees is a major risk factor as communities grapple with the COVID-19 outbreak. Swiping cards or bio-metrics are commonly used to track individual employee attendance. This can be a simple means of infection transmission, leading to the virus's spread. If the person is not wearing a mask that can lead to a serious spread of virus. In order to avoid this physical contact for measuring temperature a non-contact temperature gauge can be implemented. This can be used as part of a first examination at entry points to know or avoid people with high temperature to enter the premises, which could also help in order to classify a person who has contracted the COVID-19 infection. This system can be used to as a replacement for the current system, in which a staff is manually scans temperature were the staff is exposed completely to the outsider. The proposed system uses the Haar cascade algorithm for face recognition and temperature of the person is measured along with attendance updation. This eliminates the possibility of virus transmission via card swipes or bio-metrics. The device also identifies whether the employee is wearing a mask and guarantees that the COVID necessary masking protocol is followed

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