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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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Authors
Mr. Nikhil Lahudkar,Mr. Sagar Mote,Mr. Jagdish Kamlekar,Prof. F. S. Ghodichor
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Keywords
: smart parking management; automatic parking; slot recognition; parking space detection; machine learning.
Abstract
Searching a suitable parking space in populated metropolitan city is extremely difficult for drivers. Serious traffic congestion may occur due to unavailable parking space. Automatic smart parking system is emerging field and attracted computer vision researchers to contribute in this arena of technology. In this paper, we have presented a vision based smart parking framework to assist the drivers in efficiently finding suitable parking slot and reserve it. Initially, we have segmented the parking area into blocks using calibration. Then, classify each block to identify car and intimate the driver about the status of parking either reserved or free. Potentially, the performance accuracy of recommended system is higher than state of the art hardware solutions, validating the supremacy of the proposed framework. Finding a parking space nowadays becomes an issue that is not to be neglected, it consumes time and energy. We have used computer vision techniques to infer the state of the parking lot given the data collected from the University of The Witwatersrand.
IJCRT's Publication Details
Unique Identification Number - IJCRT2402500
Paper ID - 251001
Author type - Indian Author
Page Number(s) - e285-e290
Pubished in - Volume 12 | Issue 2 | February 2024
DOI (Digital Object Identifier) -
No Of Downloads - 41
Author Country - India, 410401, LONAVALA, LONAVALA, 410401, Science and Technology
Publisher Name - IJPUBLICATION | www.ijcrt.org | ISSN : 2320-2882
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Mr. Nikhil Lahudkar,Mr. Sagar Mote,Mr. Jagdish Kamlekar,Prof. F. S. Ghodichor, "Automated Parking Space Detection", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.12, Issue 2, pp.e285-e290, February 2024, Available at :http://www.ijcrt.org/papers/IJCRT2402500.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: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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