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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM49330

I.N.T.E.L Park: Intelligent Networked Technology-Enabled Car Parking System with AI-Powered Face Recognition

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM49330

Volume:

9 |

5 |

May 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM49330

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

JJ

Jiss Johny

PS

Prathyusha Sunil

PP

Prinisha P.J

RRM

Rohan R Menon

VA

Vinish A

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Abstract

Urban mobility faces persistent challenges due to inefficient parking systems, traffic congestion, and security concerns. INTELLPARK, an Intelligent Multi-Location Linked IoT-based Car Parking System, presents a comprehensive solution that combines IoT, real-time monitoring, and biometric verification to revolutionize parking management. The system enables users to reserve parking slots remotely, receive live availability updates via WebSocket, and securely enter and exit using face recognition. Built using a modular architecture with Node.js, FastAPI, MongoDB, and ESP8266-based hardware, INTELLIPARK ensures secure, scalable, and location-aware operations. Key innovations include real-time slot synchronization, reservation expiry handling, misuse prevention, and seamless integration of HTTPS-secured camera access. The platform addresses both user convenience and administrative control, offering an efficient, user-centric, and secure parking experience. This paper presents the design, implementation, and testing of INTELLIPARK, positioning it as a robust step toward intelligent urban infrastructure.

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Cite This Article

Jiss Johny, Prathyusha Sunil, Prinisha P.J, Rohan R Menon, Vinish A, "I.N.T.E.L Park: Intelligent Networked Technology-Enabled Car Parking System with AI-Powered Face Recognition," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 5, May 2025. https://doi.org/10.55041/IJSREM49330

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Publication Date

1/5/2025

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Double-Blind Peer Review

Review Rounds: 2

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5

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

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