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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM19412

Automated Real-time Headcount in Building using RFID: A Scalable Approach for Occupancy Tracking

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM19412

Volume:

7 |

4 |

Apr 2023

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
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Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

VY

Varnith Yemula

FAM

Faith Anuhya Mallavarupu

MKY

Manoj Kumar Yaramala

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Abstract

Real-time headcount in buildings is crucial for ensuring safety and security, as well as optimizing operations in various industries. Traditional methods of headcounting are often time-consuming, inaccurate, and labor-intensive. In this paper, we propose a new solution for real-time headcount in buildings using RFID technology and evaluate its effectiveness. Our proposed system involves providing RFID tags to visitors upon entering the building and installing RFID readers and antennas in each room to track their movement. The data collected is processed and displayed on a dashboard, providing real-time headcount information. Our experiments show that our proposed system is highly accurate in providing real-time headcount in a building, and it has the potential to be used in various settings. Our research contributes to the development of more efficient and reliable headcount systems using RFID technology and identifies future research directions for further improvements.

KEYWORDS

real-time headcount building RFID technology manual methods automated methods accuracy

Cite This Article

Varnith Yemula, Faith Anuhya Mallavarupu, Manoj Kumar Yaramala, "Automated Real-time Headcount in Building using RFID: A Scalable Approach for Occupancy Tracking," International Journal of Scientific Research in Engineering and Management, vol. 7, no. 4, Apr 2023. https://doi.org/10.55041/IJSREM19412

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Publication Date

4/23/2023

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Double-Blind Peer Review

Review Rounds: 2

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5

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The authors declare no conflict of interest related to this research work.

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