IIT Mandi creates LakshmanRekha, an AI-driven home quarantine management application for Covid patients

IIT Mandi creates LakshmanRekha, an AI-driven home quarantine management application for Covid patients

Technology
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Features

  • The created application utilizes a blend of biometric confirmation, geofencing, and human-made brainpower.
  • This application can likewise fill in as an unbreachable cell phone stage for circumstances like check-in time, or any public crisis.
  • Lakshman Rekha will persistently screen and precisely distinguish the personality of a home quarantined individual.

IIT Mandi analysts have created LakshmanRekha, an Artificial Intelligence biometric-driven Home Quarantine Management Application (HQMA) for Covid-19 patients. The developed application utilizes a mix of biometric confirmation, geofencing, and human-made reasoning to continuously screen and precisely recognize a home quarantined individual’s character.

Notwithstanding the quarantine management, this application can likewise fill in as an unbreachable cell phone stage for typical (non-Covid) versatile clients, circumstances like under time limit, or any public crisis, for recognizing the violators or culprits.

The consequences of the examination work that the Department of Science and Technology subsidized have recently distributed in the IEEE Consumer Electronics Magazine.

Who chipped away at the home quarantine management application?

The lead researcher created the paper on this exploration Dr Aditya Nigam, Assistant Professor, School of Computing and Electrical Engineering, IIT Mandi. Co-agents on the investigation were Dr Arnav Bhavsar, Associate Professors, School of Computing and Electrical Engineering, alongside research researchers, Daksh Thapar and Piyush Goyal of IIT Mandi, with Dr Gaurav Jaiswal from IIT Delhi and Dr Kamlesh Tiwari and Rohit Bhardwaj of BITS Pilani, Rajasthan.

Talking about the significance of LakshmanRekha, Dr Aditya Nigam, Associate Professor, School of Computing and Electrical Engineering, IIT Mandi, said, “We have built up a pilot adaptation of LakshmanRekha versatile application and tried it over little datasets. The acquired outcomes are excellent and now we are attempting to add greater usefulness, adaptability and convenience to prepare it for organization.”

Look at this exhibit of a working model of LakshmanRekha:

For what reason is LakshmanRekha a superior option in contrast to existing comparable applications?

In existing quarantine management versatile applications, people under self-seclusion are upheld to share their immediate position regularly through geofencing innovation or they are needed to transfer a face selfie consistently or ten times each day.

However, these geofencing applications neglect to guarantee the client character for the duration of the time since people can leave mobile phones in seclusion zones and move in or out, prompting defy the self-disengagement rules.

Nearly, transferring a face selfie consistently can’t guarantee the patient’s visit in a geofenced territory as they can likewise attempt to trick the framework by utilizing a photograph containing its enlisted face.

To alleviate these dangers, LakshmanRekha matches the person’s quarantine area with the location from where they have transferred the biometric information.

Alongside this, utilizing AI, the application continually figures a validation score that can quantify how certain it is. The quarantined client is likewise the one using the portable. The off chance that the application recognizes an activity demonstrating that the client character has been transformed will straightforwardly tell the experts for fundamental training.

Considering that we are as yet chipping away at following the fast spread of Coronavirus in the public eye, it has gotten essential to ceaselessly screen. It tracks each individual’s developments with indications, LakshmanRekha can assume a critical part in the home quarantine management framework.


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