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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM30763

StreetSavvy: Automated Parking Management System with License Plate Recognition and Pricing

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM30763

Volume:

8 |

4 |

Apr 2024

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM30763

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

DK

Dhruv Kumar

NC

Naveen Chandra

RS

Rachit Sharma

MMA

Ms. Mini Agarwal

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Abstract

The Parking Charge Calculator represents a meticulously designed system aimed at accurately determining the parking charges for vehicles within a parking facility. This innovative solution leverages Automatic Number Plate Recognition (ANPR) technology in conjunction with a robust database system to streamline the process of identifying vehicles and computing corresponding parking fees. Within the confines of a parking lot, the unique identification of vehicles is facilitated through the extraction of information from license plates. When a vehicle enters the parking lot, the Parking Charge Calculator initiates the retrieval of the license plate number through the ANPR technology. This automated recognition system efficiently captures and records the alphanumeric sequence on the license plate, laying the foundation for subsequent charge calculations. The fundamental mechanism employed by the Parking Charge Calculator involves the multiplication of hourly parking charges by the temporal duration of a vehicle’s stay. As the vehicle enters the parking lot, the system records the entry time. Upon the vehicle’s departure, the departure time is similarly recorded.

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Cite This Article

Dhruv Kumar, Naveen Chandra, Rachit Sharma, Ms. Mini Agarwal, "StreetSavvy: Automated Parking Management System with License Plate Recognition and Pricing," International Journal of Scientific Research in Engineering and Management, vol. 8, no. 4, Apr 2024. https://doi.org/10.55041/IJSREM30763

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Publication Date

12/31/45396

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Double-Blind Peer Review

Review Rounds: 2

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