COVID-19: Employee Fever detection with Thermal Camera Integrated with Attendance Management System Atika Gupta School of Computing, Graphic Era Hill University, Dehradun, Uttarakhand, India atika04591@gmail.com Dr. Sudhanshu Maurya Graphic Era Hill University, Bhimtal, Uttarakhand, India Universiti Malaysia Perlis, Malaysia dr.sm0302@gmail.com Nidhi Mehra School of Computing, Graphic Era Hill University, Dehradun, Uttarakhand, India nidhigehu@gmail.com Divya Kapil School of Computing, Graphic Era Hill University, Dehradun, Uttarakhand, India divya.k.rksh@gmail.com Abstract—We all know that this is a tough time of COVID- 19 with which the whole world is fighting. It is a virus that has taken many lives and affected the lack of people across the globe. It is a virus that is transmitted with close contact and droplet and is not airborne. The common symptoms include fever, cough, and fatigue. This paper focus on proposing a solution that can help detect the virus and keep people away from the infected person. The solution uses a Thermal Camera, which has a heat sensor and can detect any difference in temperature, and the camera can be integrated with access control systems in many places like Hospitals, Police stations, Factories, Universities, etc. which has staff walking in daily. The camera will not allow access to the person having high body temperature as fever is a symptom for COVID-19 and that person can be further examined for the virus. Many doctors are getting this infection while treating people, if we integrate such a solution then it can be easy to save the lives of many others up to an extent. Keywords— COVID-19, employee, Fever Detection, Thermal Camera, Attendance management system I. INTRODUCTION The human race is continuously observing various levels of pandemics throughout history, out of which some were extremely disastrous to mankind. Since the last few months, humankind is once again confronting similar kinds of hardship in the form of the Novel COVID-19 coronavirus. This exponentially spreading powerful and invisible enemy was initially identified in the People’s Re-public of China’s Wuhan province. From 31 December 2019 this rapidly progressing epidemic of pneumonia arise within China, with numerous exportations to other countries. It has promptly changed the existence of millions by the pandemic as activities, travels, and social contacts have been severely restricted. A virus is a life form evolved to seek out new hosts—as it must survive, be-cause its carriers die, and it must always stay one jump ahead of death. COVID-19 is a virus generated pneumonia-like disease. This disease is caused by a new coronavirus named SARS-CoV-2, which is similar to the virus that causes Severe Acute Respiratory Syndrome (SARS). As of today, 20th Oct 2020 there are 40,785,821 Coronavirus cases, with 1,124,972 deaths while 30,450,704 has been recovered. The distribution of country-wise cases is depicted in figure 1: Figure 1: country wise cases [1] According to world meter the overall coronavirus patients died, very fascinatingly the highest number belongs to the USA that is 225,410. The death toll was followed by India (115,552), Brazil (154,226, and so on [1]. The criticality of COVID -19 pandemics can be understood in Figure 2. Figure 2: Covid-19 on world map [2] The strategic objectives identified by WHO are” Interrupt human-to-human transmission including reducing secondary infections among close contacts and health care workers, preventing transmission amplification events, and preventing further international spread” and “Identify, isolate and care for patients’ early stage”. In this paper, our work is focused on the mechanism to identify the infected person at an early stage which is one of the strategic objectives given by the World Health Organization (WHO) to fight with COVID 19. The study aims to find out the age distribution in which the virus has affected majorly. The people affected and died of the virus above the age of 80 are 3%, whereas the people who fall on the age sale 355 © IEEE 2021. This article is free to access and download, along with rights for full text and data mining, re-use and analysis. 2021 11th International Conference on Cloud Computing, Data Science & Engineering (Confluence) | 978-1-6654-1451-7/20/$31.00 ©2021 IEEE | DOI: 10.1109/Confluence51648.2021.9377079