AN IoT BASED HEALTH MONITORING SYSTEM FOR EARLY IDENTIFICATION OF COVID 19 IN PUBLIC PLACES
Author(s):
Rahul U, Pavan Vadde, Y.Sai Vardhan, AnandhaKrishnan R, Rogith Vijay PV, SreeHari KN, Anu Chalil
Keywords:
Abstract
Covid-19 has now become a turnover in each and everyone’s life. It has totally changed the work culture and routine of all the people. Hanging out has become a risk and we do not know from where and how this virus travels. The only solution for preventing ourselves is to isolate ourselves from all the possible physical interactions. In a highly populated country like India, it is very difficult to avoid interactions with people. Where ever we go we find a lot of people. All shopping complexes check our temperature before letting us in. But when there is a huge crowd we may not find enough time to check everyone and collect their details for future references. The main issue here is if a person is suspected to be affected by the virus later, we may not find his or her details to cross check all the people who were in contact with them. Bigger shops and shopping complexes where people visit a lot need a proper system to monitor the customers and collect their details for future references. Our proposed system uses Internet of Things(IoT) to overcome this burden. Our framework uses health monitoring sensors which collects the basic and wanted details of our health, cross checks with the normal person’s usual monitored values, collects the data and allows the person inside the complex only if he or she seems to be normal. Even if that person gets affected by covid in future, the details could be easily traced and the people who were in contact with that person during shopping could be cross checked for safety purposes. The collected data will help us to do so. The sensors calculate parameters like body temperature, respiratory rate, blood oxygen saturation which pave a way for primary suspection of covid 19. Those calculated values will be compared and checked with a normal human range and the person will be allowed in according to the result of his or her system. This proposal will be very useful in bigger cities where larger people crowd a lot. This virus has bigger chances of spreading in cities as the population density there is very high. At the same time it is in our hands to control the spread by properly identifying people with symptoms and making them isolated and not allowing them to meet anyone fu
Article Details
Unique Paper ID: 157025

Publication Volume & Issue: Volume 9, Issue 5

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