Please use this identifier to cite or link to this item: https://rda.sliit.lk/handle/123456789/2955
Title: Secure Smart Parking Solution Using Image Processing and Machine Learning
Authors: Balasuriya, A. I. P
Dilitha, A.G. A. D
Perera, P. A. M. M
Jayaweera, D.K. S
Swarnakantha, N. H. P. R. S
Rajapaksha, U. U. S
Keywords: Machine Learning
Image Processing
Smart Parking
Solution
Secure
Issue Date: 18-Jul-2022
Publisher: IEEE
Citation: A. I. P. Balasuriya, D. A. G. A. D, P. P. A. M. M, J. D. K. S, N. H. P. R. S. Swarnakantha and U. U. S. Rajapaksha, "Secure Smart Parking Solution Using Image Processing and Machine Learning," 2022 IEEE 7th International conference for Convergence in Technology (I2CT), 2022, pp. 1-6, doi: 10.1109/I2CT54291.2022.9825231.
Series/Report no.: 2022 IEEE 7th International conference for Convergence in Technology (I2CT);
Abstract: With the IoT connecting the world, finding parking lots is much easier with smart parking solutions. Some of the parking areas in the world use at least some kind of smart parking solution these days. There are existing and broader solutions when it comes to parking a vehicle. So, in this project, we are mainly focusing on developing these existing solutions a step further. I hear we are mainly focusing on a solution that increases the effectiveness of the management processes in the currently existing solutions and developing a relevant and integrated security solution. The project will include a refined prediction system that can predict the outcomes of some of the main processes that are done inside a parking area so that smart parking management and be done much more smoothly and effectively. Prediction systems are designed on the idea of getting possible security issues, vehicle types on peak hours as an outcome. And even in the aspect of security rather than a separate system, there is an integrated one coming with this project that has improved functionality with regards to a parking area. The main possible security threats that happen in a parking area are being identified by us and implemented separate functionalities on detecting them. Furthermore, the project includes a decision-making system that can deduce and take the decision on slot management in a parking area so it can work effectively and with minimum human interaction.
URI: http://rda.sliit.lk/handle/123456789/2955
ISSN: 978-1-6654-2168-3
Appears in Collections:Department of Information Technology
Research Papers - IEEE
Research Papers - SLIIT Staff Publications
Research Publications -Dept of Information Technology

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