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  09 Mar 2021  AI driven Smart Device assist in identifying Covid-19 symptoms

AI driven Smart Device assist in identifying Covid-19 symptoms

SPOTLIGHT
Published : Mar 9, 2021, 7:01 pm IST
Updated : Mar 9, 2021, 7:01 pm IST

Lakshmisri Surya and Ravi Teja Yarlagadda developed a device that can identify diseases that has body temperature as a symptom

 Ravi Teja Yarlagadda
  Ravi Teja Yarlagadda

Software engineers using their expertise, collaborated and developed a device back in May 2020 that can identify covid-19 pandemic, and alert people on social distancing as per WHO measure. The device not only identifies the covid-19, but any other pandemics that has fever as one of its symptoms.

The COVID-19 pandemic has spread throughout the world and changed all facets of our everyday lives dramatically. The WHO and CDC expect substantial spikes in the rate of infection cases and deaths, although there are signs of hope due to the availability of vaccines that are currently administered. The situation is still bad in many countries and new ways of dealing with the pandemic will be significant. Inspired by the rapid application and development of AIs and Big Data in different fields, Lakshmisri Surya and Ravi Teja Yarlagadda collaborated and underlined their significance to respond to the COVID-19 outbreak and avoid the severe consequences of the disease by developing the device that can identify covid-19 and other pandemics that has body temperature as one of its symptom and also alerts on six feet social distancing measures.

 

Lakshmi Sri Surya, Sr. Data Scientist, with AI expertise developed the algorithm that can fit into wristwatch to monitor and alert the 6 feet social distancing by using its measurement factors and identify the covid-19 symptom persons (if body temp is over 37 degree Celsius) within 6 feet of radius over 360 degrees. She encoded the passive IR detector which can produce high signal-to-noise ratio of increased number of detection zones or a large number of pyroelectric sensors to force the creation of a complex optical system. The optical system will continue capturing the detection zones without leaving any blind areas by using its mirror concentrators and one lens made of germanium. She has equipped the PIR detector with a channel of RS 485 standard transmission. To record the captured measurements, she integrated a special software that will allow the registration of signals coming from different detection zones. Stage two of the process includes capturing data using a sensor on the device. The final step is to determine the distance between each pair of persons and compare the differences by the approximate scaling factor.

 

Ravi Teja Yarlagadda, AI automation expert automated the AI algorithm processes that can work real time in producing the results with the interactions of covid-19 to alerting on six feet distance.  He used his AI expertise to handle the pandemic through the monitoring of public spaces and the introduction of social distance and lock-down steps for those potentially infected.  Ravi added the automation that can use Infrared cameras to scan huge crowds real time. They are often used with the face recognition device, which shows whether the person wears a surgical mask at a high temperature. These cameras have the capability of scanning 200 people per minute and identify people with body temperatures of over 37 degrees Celsius. The device will have two features for alerting the user on the likelihood that a person they interact with has Covid-19 and when they break the 6 feet social distance rules and also alert if someone with covid-19 approaches within 6 feet radius. Every time a user fails to maintain social distance, it will be counted on the system of the device and all the data for the last 72 hours stored. As explained above, the device will be using sensors that will measure the temperature of a person to determine their distance.

 

The image shows the readings for the past 24 hours and 72 hours respectively to warn the user of their behaviour when they are outdoors. The two readings can be accessed on the same device by pressing the buttons which will be marked for each duration the user has interacted with others.

Experts say that this research is important to the U.S in addressing the rising cases especially for people who are still waiting to receive their first vaccines. The device that they have proposed will assist many people to follow the health protocols that will minimize the spread of the pandemic. They will be alerted every time they get closer to maintain the required 6 feet distance in public places to avoid contracting or spreading the disease. If everyone has such a smart device, the number of cases will reduce. This will mean that the pressure and burden that had been put on health care workers will be reduced. With time, these cases will reduce significantly, and normalcy will return in most places.

 

 

For more information, Refer to: https://ijcrt.org/papers/IJCRT2005556.pdf

 

Disclaimer: No Asian Age journalist was involved in creating this content. The group also takes no responsibility for this content.

Tags: lakshmisri surya, ravi teja yarlagadda, covid-19, big data, artificial intelligence, ai algorithm