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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM37863

SURVEY ON IOT-BASED CELL PHONE DETECTION IN EXAM

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM37863

Volume:

8 |

10 |

Oct 2024

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
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

PSD

Prof. Soniya Dhotre

RP

Rutika Patil

SB

Sayali Bhand

SG

Sidharth Gore

GB

Gaurav Borude

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Abstract

This project proposes a technology to detect a cellphone that is being used by a restricted user in a restricted area, and also show the location of the user, to prevent the user from continuous use of the cellphone. the right number is checked. However, it is often busy and take time for an outsized number of scholars. Therefore, to avoid this problem, automated detection and identification of phones has been integrated. Currently there are mobile jammer to jam the whole network, but only to seek out cell phones of scholars who have been present within the exam hall there. It automatically detects the activity telephone within the e-hall and displays this information with the mobile detector on the remote computer (administrator) within the GUI until it detects the message, room number, location, etc. That is, it determines the precise place. Calculates the space between position (detected) and detector, identifies increasing boundaries, and adds new dimensions to rooms like remote computers, switching from one room to a different one.

KEYWORDS

Data Analytics Cheating Prevention Computer Vision Machine Learning in IoT CST mobile phone detection multi-band antenna and single-dipole antenna.

Cite This Article

Prof. Soniya Dhotre, Rutika Patil, Sayali Bhand, Sidharth Gore, Gaurav Borude, "SURVEY ON IOT-BASED CELL PHONE DETECTION IN EXAM," International Journal of Scientific Research in Engineering and Management, vol. 8, no. 10, Oct 2024.

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Publication Date

8/9/2024

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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0

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2

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5

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Conflict of Interest

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

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No funding information available for this research.

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