Proceedings of the 1st International Conference on Artificial Intelligence, Communication, IoT, Data Engineering and Security, IACIDS 2023, 23-25 November 2023, Lavasa, Pune, India

Research Article

Design of Mixed Reality (MR) Based Real-Time Vision System for Covid Tracking and Control

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  • @INPROCEEDINGS{10.4108/eai.23-11-2023.2343242,
        author={Akilandeswary  G and Ganesh  V and Shyam  H},
        title={Design of Mixed Reality (MR) Based Real-Time Vision System for Covid Tracking and Control},
        proceedings={Proceedings of the 1st International Conference on Artificial Intelligence, Communication, IoT, Data Engineering and Security, IACIDS 2023, 23-25 November 2023, Lavasa, Pune, India},
        publisher={EAI},
        proceedings_a={IACIDS},
        year={2024},
        month={3},
        keywords={mixed-reality 3dscanning body temperature sensor mr vision code},
        doi={10.4108/eai.23-11-2023.2343242}
    }
    
  • Akilandeswary G
    Ganesh V
    Shyam H
    Year: 2024
    Design of Mixed Reality (MR) Based Real-Time Vision System for Covid Tracking and Control
    IACIDS
    EAI
    DOI: 10.4108/eai.23-11-2023.2343242
Akilandeswary G1,*, Ganesh V1, Shyam H1
  • 1: St Joseph's Institute of Technology, Department of ECE, Old Mahabalipuram Rd, Kamaraj Nagar, Semmancheri, Chennai, Tamil Nadu
*Contact email: akilandeswaryg@stjosephstechnology.ac.in

Abstract

The medical field relies on broad usage of various using imaging strategies such radiography, ultrasounds, for obtaining crucial information about internal organs. Yet, there has been a space in getting information about external body parts, that can now be resolved through the application of 3D scanning technologies. Particularly, during the COVID-19 pandemic, there has been a pressing need for advanced technology to monitor the respiratory systems of patients. This project aims to provide real-time monitoring of COVID-19 health data for the general population, suggesting that monitoring respiratory symptoms could serve as a screening tool to identify individuals with potential mild cases who should consider self-isolation. The proposed technologies blends AR with virtual realities to diagnose diseases in humans, referred to as Mixed-Reality (MR). To facilitate tracking, it generates a scannable Mixed-Reality (MR) code. Additionally, wearable biomedical sensors upload data to a server system via the Internet of Things (IoT). Every individual in the public is expected to possess their own printed or digital MR code. On the receiving end, a personal computer (PC) with three types of sensors is connected to a patient monitoring system. A MR vision camera cum scanner is available, which immediately fetches the individual's biomedical sensor values from the server. Using these values and the database data, the MR vision Software System provides real-time images and details.