IDEAS home Printed from https://ideas.repec.org/a/igg/jehmc0/v13y2022i4p1-13.html
   My bibliography  Save this article

Real-Time Surveillance System for Detection of Social Distancing

Author

Listed:
  • Kanojia Sindhuben Babulal

    (Department of Computer Science and Technology, Central University of Jharkhand, India)

  • Amit Kumar Das

    (Department of Computer Science and Technology, Central University of Jharkhand, India)

  • Pushpendra Kumar

    (Department of Computer Science and Technology, Central University of Jharkhand, India)

  • Dharmendra Singh Rajput

    (School of Information Technology and Engineering, Vellore Institute of Technology, India)

  • Afroj Alam

    (Department of Computer Science, Bakhtar University, Afghanistan)

  • Ahmed J. Obaid

    (Faculty of Computer Science and Mathematics, University of Kufa, Iraq)

Abstract

As the corona virus can mutate and due to other scientific factor associated to it, experts believe that COVID-19 will remain with us for decades. Therefore, one has to keep social distancing measures. Accepting the pandemic situation, the paper presents a mechanism for detecting violations of social distancing using deep learning to estimate the distance between individuals to diminish the influence of COVID-19. The focus of this paper is to understand the effect of social distancing on the spread of COVID-19 by using YOLOv3 and Faster-RCNN and proposes IFRCNN (improved faster region – convolution neural network). The proposed method IFRCNN is checked on a live streaming video of pedestrians walking on the street. This paper keeps the live updates of the recorded video along with social distancing violation records on a location, so how many people in a location are maintaining social distancing. Updates will be stored in a cloud-based storage system and any organization or firm can get live updates of that location in their digital devices.

Suggested Citation

  • Kanojia Sindhuben Babulal & Amit Kumar Das & Pushpendra Kumar & Dharmendra Singh Rajput & Afroj Alam & Ahmed J. Obaid, 2022. "Real-Time Surveillance System for Detection of Social Distancing," International Journal of E-Health and Medical Communications (IJEHMC), IGI Global, vol. 13(4), pages 1-13, August.
    • Handle: RePEc:igg:jehmc0:v:13:y:2022:i:4:p:1-13
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJEHMC.309930
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Bipin Kumar Rai, 2022. "Patient-Controlled Mechanism Using Pseudonymization Technique for Ensuring the Security and Privacy of Electronic Health Records," International Journal of Reliable and Quality E-Healthcare (IJRQEH), IGI Global, vol. 11(1), pages 1-15, January.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.

      More about this item

      Statistics

      Access and download statistics

      Corrections

      All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:igg:jehmc0:v:13:y:2022:i:4:p:1-13. See general information about how to correct material in RePEc.

      If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

      If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

      If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

      For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Journal Editor (email available below). General contact details of provider: https://www.igi-global.com .

      Please note that corrections may take a couple of weeks to filter through the various RePEc services.

      IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.