Faculty of Computing

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Has files: YesSubject: search.filters.subject.Smart Parking

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    PublicationEmbargo
    Lush: Smart Parking Reservation and Management Application
    (IEEE, 2022-12-26) Koneswara, L; Subasingha, A. S. S. P; Ranaweera, U. R; Wijekoon, W. M. H. A; Swarnakantha, N. H. P. R. S; Chathurika, K.B.A.B.
    The background for this study became the difficulties faced by Sri Lankans in finding a safe and a convenient parking slot. It is obvious that the manual parking systems contain a lot of drawbacks. As a solution a mobile application will be developed for both parking seekers and the parking providers. Parking seekers can register to the app and book a slot. The payment facilities will be provided through the mobile application and customers can chat with the parking providers at any time. System will identify the vehicle category and navigate it to the relevant vehicle type terminal. As well as after parking the vehicle if there is any kind of threat to the vehicles will be detected by the system. If the vehicle owner parks his vehicle at the wrong terminal or if there are any threats happening to the vehicle, the system will send a notification to the vehicle owner and to the security officers. This notification will be sent after detecting the vehicle number plate and getting the owner details from database relevant to the vehicle plate number. Parking providers can digitally and dynamically manipulate the parking area according to their preference through this system. As a conclusion system will facilitate parking seekers by providing user friendly, safe, well-managed and convenient parking facilities on behalf of the parking providers.
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    PublicationEmbargo
    Secure Smart Parking Solution Using Image Processing and Machine Learning
    (IEEE, 2022-07-18) 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
    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.