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IIT Ropar

Published: 24th April 2020     

IIT Ropar develops infrared vision system that will identify COVID-19 suspects in crowded places

The remote controlled device will be put at the entrance of the gate of crowded places like Railway Station, Airport, Bus stand, Cinema Halls, Malls etc and it will take infrared image of faces

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IIT Ropar. Credit: Collegedunia

IIT Ropar researchers have developed an intelligent infrared vision system in association with SS Automation Pvt Ltd, Bangalore, to detect Coronavirus suspects without human intervention at crowded places. According to an IIT Ropar release, this infrared vision system is portable, economical, and safe with remote screening capabilities along with self decision making ability to detect suspects without human intervention at crowded places.

The remote controlled device will be put at the entrance of the gate of crowded places like Railway Station, Airport, Bus stand, Cinema Halls, Malls etc and it will take infrared image of the face of every person and show the image of the person within two seconds, giving the information saying Infected, suspected or heathy.

The information can be connected to the central Desktop without wire and can help the authorities to detect the infected persons. Dr Ravibabu Mulaveesala, Associate Professor, Department of Electrical Engineering, IIT Ropar, said, "The prototype is ready for clinical trials and IIT Ropar invites the medical industry experts for clinical trials." InfraRed Thermography (IRT) involves the mapping of the thermal profiles over the test object in order to estimate the health condition of the screening object.

IRT plays vital role in safe, fast and remote screening of COVID-19 suspects with the develop symptoms like fever, tiredness, shortness of breath and a runny nose. The present developed infrared vision system can make the self decisions in detecting the suspects without any human intervention by considering the relative temperature distribution over the selected features over the face region.

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