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Parking Occupancy Detection Using Convolutional Neural Networks

Shaik Brahmaiah1 , K N Brahmaji Rao2

Section:Research Paper, Product Type: Journal Paper
Volume-6 , Issue-10 , Page no. 272-275, Oct-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6i10.272275

Online published on Oct 31, 2018

Copyright © Shaik Brahmaiah, K N Brahmaji Rao . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Shaik Brahmaiah, K N Brahmaji Rao, “Parking Occupancy Detection Using Convolutional Neural Networks,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.10, pp.272-275, 2018.

MLA Style Citation: Shaik Brahmaiah, K N Brahmaji Rao "Parking Occupancy Detection Using Convolutional Neural Networks." International Journal of Computer Sciences and Engineering 6.10 (2018): 272-275.

APA Style Citation: Shaik Brahmaiah, K N Brahmaji Rao, (2018). Parking Occupancy Detection Using Convolutional Neural Networks. International Journal of Computer Sciences and Engineering, 6(10), 272-275.

BibTex Style Citation:
@article{Brahmaiah_2018,
author = {Shaik Brahmaiah, K N Brahmaji Rao},
title = {Parking Occupancy Detection Using Convolutional Neural Networks},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {10 2018},
volume = {6},
Issue = {10},
month = {10},
year = {2018},
issn = {2347-2693},
pages = {272-275},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=3017},
doi = {https://doi.org/10.26438/ijcse/v6i10.272275}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i10.272275}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=3017
TI - Parking Occupancy Detection Using Convolutional Neural Networks
T2 - International Journal of Computer Sciences and Engineering
AU - Shaik Brahmaiah, K N Brahmaji Rao
PY - 2018
DA - 2018/10/31
PB - IJCSE, Indore, INDIA
SP - 272-275
IS - 10
VL - 6
SN - 2347-2693
ER -

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Abstract

Sophisticated world has the gifted man not only with comforts but also with many problems, one of the unavoidable and the most challenging problem is vehicle parking problem. The unregulated parking system is leading to huge traffic and accidents. Parking the vehicle in the parking space is highly unorganized and people have to manually check for the vacant places for parking their vehicles. So most of the people will park their vehicles in empty spaces or on the road which increases the problem further. In recent years, a lot of papers have been published addressing this issue. However, implementing them is highly expensive due to their usage of the costly sensor technology and other hardware requirements. But this paper proposes an intelligent parking system for vacancy detection using convolution neural networks that give accurate results under any Circumstances.

Key-Words / Index Term

Convolution neural networks, Parking lot, Vacancy detection

References

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