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  Published Paper Details:

  Paper Title

DETECTING UNAUTHORIZED PERSON USING CNN AND OPENCV TECHNIQUES

  Authors

  Hemavathi.J,  2 Dr.N.Syed Siraj Ahmed

  Keywords

KEYWORDS: Access, Unauthorized, Application, Deep Learning, Face Detection.

  Abstract


Unauthorized person, which means when someone enters into your device, system or your house without your permission is said to be unauthorized access. CNN methods are being used to handle these unauthorized access problems with the help of open cv (open source computer vision library). It is a open source computer vision and machine learning software library. Apart from that we also use 3D modelling, face detection, visual authentication techniques for capaturing images of unauthorized person we also installed camera with memory facility. This project demonstrates to increase the capability of the devices we have constructed. Our proposed method integrates a better approach, intended to advance the cooperativeness of the explore operation. In this work, we develop the application with a device to eradicate the unauthorized access of unknown persons into our premises Our application can be able to alert the persons whenever any unknown person is trying to enter into our premises.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2205895

  Paper ID - 220803

  Page Number(s) - h610-h623

  Pubished in - Volume 10 | Issue 5 | May 2022

  DOI (Digital Object Identifier) -   

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

  E-ISSN Number - 2320-2882

  Cite this article

  Hemavathi.J,  2 Dr.N.Syed Siraj Ahmed,   "DETECTING UNAUTHORIZED PERSON USING CNN AND OPENCV TECHNIQUES", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.10, Issue 5, pp.h610-h623, May 2022, Available at :http://www.ijcrt.org/papers/IJCRT2205895.pdf

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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
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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