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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM46338

Smart Parking Your Parking Assistant

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM46338

Volume:

9 |

4 |

Apr 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM46338

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

SS

Shahanas S

AJ

Abhishek J.S

ARK

Abdul Rahman K

VcB

Vino chalsy B

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Abstract

Smart Park It is a software solution designed to enhance the parking experience in locations with a high volume of vehicles, such as airports, shopping malls, and other busy venues. Upon entering a mall, drivers must find a parking space for their motorcycles or cars, often relying on security personnel to assist in locating an available slot. Retrieving a vehicle from a crowded parking area can be challenging, as it requires remembering the exact location of the parked vehicle. While this task may be manageable in smaller facilities, it becomes increasingly difficult in larger environments like international airports. To address this issue, we propose a software application that utilizes AI technology. Upon arrival at the parking facility, the vehicle’s license plate will be scanned by AI cameras at the entrance, and a ticket featuring slot address and a QR code will be issued. Scanning this QR code will provide directions to the designated parking space, facilitating both the parking and retrieval processes. The system will require two cameras: one at the entrance to capture the license plate and another within the parking area to identify available slots. Introduction

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Cite This Article

Shahanas S, Abhishek J.S, Abdul Rahman K, Vino chalsy B, "Smart Parking Your Parking Assistant," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 4, Apr 2025. https://doi.org/10.55041/IJSREM46338

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Publication Date

4/28/2025

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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