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  Published Paper Details:

  Paper Title

Smart Surveillance Solutions

  Authors

  Darshan P,  Sathvik I K,  Manoj B Kulkarni,  Lakshmisha R.A

  Keywords

Facial Recognition, Biometric Data, Artificial Intelligence, Machine Learning, Examination Integrity

  Abstract


The integration of advanced technological solutions into educational systems has ushered in a new era of efficiency and effectiveness. This paper delves into the fusion of Smart Attendance and Cutting-Edge Exam Surveillance, presenting a holistic approach to bolster academic administration and uphold examination integrity. Smart Attendance leverages facial recognition and biometric data to automate attendance tracking, ensuring precision and swiftness in the process. Conversely, Cutting-Edge Exam Surveillance harnesses artificial intelligence and machine learning to vigilantly monitor and deter cheating behaviors during examinations. The symbiosis between these two systems not only simplifies administrative duties but also guarantees a secure and equitable examination milieu. This paper examines the technical complexities, ethical implications, and potential ramifications of implementing these innovations in educational institutions. The convergence of Smart Attendance and Cutting-Edge Exam Surveillance marks a pivotal moment in educational management.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2405363

  Paper ID - 259833

  Page Number(s) - d427-d433

  Pubished in - Volume 12 | Issue 5 | May 2024

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Darshan P,  Sathvik I K,  Manoj B Kulkarni,  Lakshmisha R.A,   "Smart Surveillance Solutions", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.12, Issue 5, pp.d427-d433, May 2024, Available at :http://www.ijcrt.org/papers/IJCRT2405363.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


ISSN
ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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