Plague named coronavirus is chart topping these days. World is facing disastrous effects of coronavirus epidemic, COVID-19 is resulting disease of corona virus. In accordance to world health organization it originated in Wuhan, china and causes illness ranging from common cold to severe disease such as SARS and MERS. It is a global pandemic, at least 25,000 people have lost their lives and more than 553,000 are suffering across the globe. Common signs of this infection include fever, coughing and breathing difficulties. In severe cases it can cause pneumonia, multiple organ failure and at last death. In this day and hour there are two kinds of people in world one those are in quarantine and secondly those who are infected. There is an extreme need to detect the virus at the initial stage, so that proper measure could be taken to help out the patient, and prevent the virus from spreading further. Since fever is one of the symptoms of the infection, we designed a system that can be placed at the gates of every house, to screen the visitors. In case the visitor possesses any symptoms, authorities are thereby contacted.
What it does
Our product can be placed at an apartment/house's entrance and then it can screen the visitors when they're detected. It'll record vitals like Temperature, Heart Rate and Respiratory rate, which are considered as major vitals required to be taken into account while testing. In case of a potential case, the authorities will get informed and the owner of the house will get a notification.
How we built it
We used an Arduino Nano, a NodeMCU, an XD-58C Heart Rate Sensor, an MLX9014 IR temperature sensor and an MQ-135 sensor. All of the hardware setup was used to create a sensory network that is deployed on our webserver on http://steamattic.com/MediSpect/data.html. We used ThingSpeak's API to collect, store and visualize the data taken from those sensors. The data will be sent to the server when a visitor visits.
Challenges we ran into
It was sorta difficult to link the XD-58C Heart Rate sensor to the NodeMCU due to the voltage issues, so we used an Arduino Nano as an intermediate to establish a connection between them.
Accomplishments that we're proud of
Developing this project in less than a day.
What we learned
This system can be implemented almost anywhere in the world, and even after this whole pandemic situation is cleared so that more situations like this can be prevented.
What's next for a
Further, we'll be implementing Machine Learning to this project to make screening fully autonomous, so that no manual effort is essentially required.
Try It out
arduino, c++, iot, ir, java, nodemcu, processing, thingspeak, thingspeak-charts