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Intelligent Parking Vehicle Identification and Classification System

Kumar, Amit K. and Assaf, Mansour and Groza, Voicu Z. and Petriu, Emil M. (2021) Intelligent Parking Vehicle Identification and Classification System. [Conference Proceedings]

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Abstract

In this paper, we propose an intelligent system for identification and classification of parking vehicles. The proposed system uses artificial intelligence and pattern matching to identify and classify various types of vehicles for optimizing the use of parking lot space, monitor incoming and outgoing vehicles, and increase profit. The system uses image processing and feature extraction techniques to extract features such as vehicle dimensions and estimated weights to determine the vehicles eligibility to park in a specific parking lot given some restrictions and constraints. A prototype was developed and implemented in MATLAB/SIMULINK, and we validated all algorithms for accuracy purposes considering different classes of the vehicle. Preliminary results have shown that the system is effective and promising in different conditions.

Item Type: Conference Proceedings
Subjects: T Technology > T Technology (General)
T Technology > TL Motor vehicles. Aeronautics. Astronautics
Divisions: Faculty of Science, Technology and Environment (FSTE) > School of Computing, Information and Mathematical Sciences
Depositing User: Mansour Assaf
Date Deposited: 19 Jul 2021 13:25
Last Modified: 12 Aug 2021 15:20
URI: http://repository.usp.ac.fj/id/eprint/12853
UNSPECIFIED

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