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  Published Paper Details:

  Paper Title

AI based Vehicle Monitoring Security System

  Authors

  M. Jonwal,  S. Solanke,  S. Thorat,  A. More,  P. Mhaske, P. Babrekar, G.S. Siddhu, Dr. S. B.Dhoot

  Keywords

Artificial intelligence (AI), AI based Vehicle Monitoring system (A.I.V.M.S.S), Artificial neural network (ANN), Convolutional neural network (CNN), Optical character recognition (OCR).

  Abstract


Artificial intelligence based image processing systems are now quite common in use. The following report consists of the information about AI based Vehicle Monitoring system (A.I.V.M.S.S). Image processing and capturing are vital part of this project and then based on this two processing the vehicle data is collected. And record of how many times a car has entered exited the campus can be kept. The system also acts as a security system and captures images of all kind of vehicles that enter the campus. The system is based on the deep learning concepts of AI and machine vision. The neural networks are used for the programming and identification of the vehicles. Every time the vehicle enters or leaves the count changes of that particular car and to maintain that count record and capture a clear image of the number plate is the main aim of this system. The system is very identical to the traffic control system and number plate identification, but with addition of few more modifications.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2404036

  Paper ID - 254779

  Page Number(s) - a328-a331

  Pubished in - Volume 12 | Issue 4 | April 2024

  DOI (Digital Object Identifier) -    http://doi.one/10.1729/Journal.38704

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

  E-ISSN Number - 2320-2882

  Cite this article

  M. Jonwal,  S. Solanke,  S. Thorat,  A. More,  P. Mhaske, P. Babrekar, G.S. Siddhu, Dr. S. B.Dhoot,   "AI based Vehicle Monitoring Security System", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.12, Issue 4, pp.a328-a331, April 2024, Available at :http://www.ijcrt.org/papers/IJCRT2404036.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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