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Top1. Introduction
Covid-19, a disease caused by SARS-CoV-2 (Novel Coronavirus), is a pandemic that the World health organization declared in March 2020 (Hui, D. S., et al, 2020; Tiwari, S., et al 2020). Corona Virus was named after the 'Crown like spikes' present on its surface. SARS-CoV-2, the RNA family virus, is the seventh of its family other than SARS-Cov, MERS-Cov, HCoV-229E, NL-63, OC43, and HKU1 virus (Bchetnia, M et al. 2020). The symptoms of HCoV-229E, NL-63, OC43, and HKU1 (reported till 2002) (Cheke, R. S et al, 2020) were mild fever and cough, whereas MERS-CoVs and SARS-CoVreported in 2012 in Saudi Arabia and China respectively (Satoskar, R., et al, 2018), causes severe fever, dry cough, and difficulty in breathing that leads to pneumonia and bronchitis [48]. It takes two to fourteen days incubation period; Corona infection symptoms get noticed (Sharma, A., et al 2020). As Covid-19 spread rapidly in and outside China and created a panic among countries, people, and political communities, it is declared a global health emergency (Ortiz-Prado, E., et al. 2020).In India, the first case of coronavirus was reported in Kerala on January 30, 2020 (Gupta N., et al, 2020), which reached three till February 3, 2020. All were the students came back from Wuhan city. After that, no case of virus transmission was reported until a tourist group of 14 Italian people found infected on March 4, 2020 (Shereen, M., et al, 2020; Singhal, T., 2020). A total of 22 cases were reported that kindle virus transmission in India. By September 16, 2020, the Ministry of Health and Family Welfare reported a total of 5.02 million cases in India and a recovery rate of more than 78% (COVID-19 pandemic in India). Epidemic Diseases Act, 1897, was implemented in India on March 11, 2020, to control the rapid transmission of a novel coronavirus, which results in shutting down educational institutions, commercial industries, sports, and large public gatherings (Patrikar, S., et al, 2020). India has a population of more than a billion, in which most of them belong to the middle class or lower-class people and have to rely on various public and government services such as public transport, healthcare, public buildings, emergency services, Etc. Millions of people go through metro stations to buses or trains and depend on intracity transport to commute. It would be disastrous if people came into contact with each other so closely. While considering the same government had taken a firm and rational decision to shut down all public services, including transport, domestic and international flights were grounded. As a result, it took India fifteen days to go from a hundred to one thousand, whereas China took only five days, followed by Italy for six days and the USA in nine days. Many growing IT companies came forward to fight corona in various ways to help with the ongoing pandemic. ‘Arc communities’ launched 'Code against COVID-19' to connect the people and organizations in need of development to coders or freelance developers (Djupsjö K., et al, 2018). Algorithms and research data have been made available publicly for educators and remote workers from all leading institutions. Big data played an important role in analyzing and distribution of people and materials. With the offices, schools, and colleges closed, video conferencing and cloud meetings have proved themselves to be a great use. They have kept them running even in these times. With all the IT sector coming forward in this time of need and the government taking all the necessary steps for the pandemic, the healthcare sector has shown tremendous support and proved its worth for the country. All doctors, nurses, and supporting staff worked 24x7 in the hospitals to lookafter the virus-infected patients, giving up all their support and care and support the country from falling apart in the health care sector. Endangering their own lives to save others has been considered as a prestigious job there could be. Daily, thousands of doctors, nurses, and other healthcare workers put their life at risk to protect others and cure infected patients. The authors suggested a precautionary method that can be taken into consideration to ensure healthcare workers' safety and ensure the transmission of the virus any further. The proposed model is based on the principle of IoT, smart door lock, and face detection. Once a person is found corona positive, the patient is supposed to be in isolation to maintain a minimum contact with other people. However, healthcare workers are the ones who are interacting with the patients regulating medications and regular tests. In this case, they are very much prone to exposure to the infection. The main consideration is to maintain a minimum contact with another person to avoid any contamination. This paper proposes an automated system maintaining zero contact with other people and easy access and proper authentication. World Health Organization (WHO) confirmed that the coronavirus could reside on nonliving surfaces 24 hours to 72 hours, making health workers more prone to be infected. The fingerprint biometric system, used for authentication, can be a great medium of contamination as touched by various health workers having different contact history. To overcome such an issue, we proposed a system that uses an individual's mobile phone connected with automated doors using IoT and fingerprint authentication via fingerprint scanner on the phone that may lead to the purchase of a new phone device with a fingerprint scanner, but this minimizes the contact of common surfaces and contamination of virus. The person's authentication can be done by a database maintained by the hospital or healthcare center and can control individuals' access to particular areas. Healthcare workers need to use their phones to access any hospital area or health care center, lowering the risk of contamination. This system may lead to zero contact with a common surface and control the virus's transmission and increase healthcare workers' safety. Authors have also proposed a model based on face detection using FaceNet. The system uses a dataset containing face images of authorized persons within the hospital; a surveillance camera is placed in front of an automated door to capture a person's image. A log gets generated to maintain the person's identified, in-out timings if a match with the database is found, and the access will be granted without any physical contact with the door surface.