Automated Parking Lot Management System

Author:

Dr. Choupiri Shivakeshi 1,A Aslam Basha 1,Abdul Rehman Belgaumi 1,Anusha K 1,Chandana UK 1

Affiliation:

1. Rao Bahadur Y Mahabaleswarappa Engineering College Ballari, India

Abstract

Automated parking management system, utilizing machine learning for license plate recognition, has simplified the ticket generation and parking space allocation process in large parking areas. It offers a user-friendly experience by swiftly recognizing license plates upon vehicle entry. Furthermore, the system efficiently guides vehicles to the most suitable parking spaces, optimizing usage and alleviating congestion. This innovative approach streamlines these procedures, enhancing user convenience. It also plays a part in creating a more sustainable urban environment by reducing fuel consumption and emissions. To sum it up, our integration of machine learning for license plate recognition provides an efficient and eco-conscious solution to urban parking challenges, making parking hassle-free and environmentally friendly

Publisher

Naksh Solutions

Reference8 articles.

1. Karma Tsheten Dorjee, Deepak Rasaily, Bishal Cintury, RFID-based automatic vehicle parking system using microcontroller, IJETT, Volume 32, Number 4, February 2016.

2. R. Kannadasan, A. Krishnamoorthy, N. Prabakaran, K. Naresh, V. Vijayarajan, G. Sivashanmugam, RFID based automatic parking system, Australian Journal of Basic and Applied Sciences, Volume 10(2), pages: 186-191, February 2016.

3. S. C. Hanche, Pooja Munot, Pranali Bagal, Kirti Sonawane & Pooja Pise, Automated vehicle parking system using RFID, ISSN (Print): 2320 – 8945, Volume -1, Issue -2, 2013.

4. Lanxin Wei; Qisheng Wu; Mei Yang; Wei Ding; Bo Li; Rong Gao, Design and implementation of smart parking management system based on RFID and internet, pages: 17 - 20, year: 2012.

5. YOLOv5 based real time automatic number plate and helmet recognition system, 2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT)

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