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dc.contributor.author Padmasiri, H
dc.contributor.author Madurawe, R
dc.contributor.author Abeysinghe, C
dc.contributor.author Meedeniya, D
dc.contributor.editor Weeraddana, C
dc.contributor.editor Edussooriya, CUS
dc.contributor.editor Abeysooriya, RP
dc.date.accessioned 2022-08-03T05:42:58Z
dc.date.available 2022-08-03T05:42:58Z
dc.date.issued 2020-07
dc.identifier.citation ******* en_US
dc.identifier.uri http://dl.lib.uom.lk/handle/123/18499
dc.description.abstract Parking occupancy detection systems help to identify the available parking spaces and direct vehicles efficiently to unoccupied lots by reducing time and energy. This paper presents an approach for the design and development of an end-to-end automated vehicle parking occupancy detection system. The novelty of this study lies in the methodology followed for the object detection process using RetinaNet one stage detector and region-based convolutional neural network deep learning technique. The proposed software architecture consists of low coupled components that support scalability and reliability. The developed web-based and mobile-based client applications assist to find parking spaces easily and efficiently. The existing solutions utilize dedicated sensors and depend on manual segmentation of surveillance footage to detect the state of parking spaces. The proposed approach eliminates existing limitations while maintaining reasonable accuracy. en_US
dc.language.iso en en_US
dc.publisher IEEE en_US
dc.relation.uri https://ieeexplore.ieee.org/document/9185336 en_US
dc.subject Object detection en_US
dc.subject computer vision en_US
dc.subject cloud computing en_US
dc.subject microservice architecture en_US
dc.title Automated vehicle parking occupancy detection in real-time en_US
dc.type Conference-Full-text en_US
dc.identifier.faculty Engineering en_US
dc.identifier.department Engineering Research Unit, University of Moratuwa en_US
dc.identifier.year 2020 en_US
dc.identifier.conference Moratuwa Engineering Research Conference 2020 en_US
dc.identifier.place Moratuwa, Sri Lanka en_US
dc.identifier.pgnos pp. 644-649 en_US
dc.identifier.proceeding Proceedings of Moratuwa Engineering Research Conference 2020 en_US
dc.identifier.email heshanpadmasiri.16@cse.mrt.ac.lk en_US
dc.identifier.email ranikamadurawe.16@cse.mrt.ac.lk en_US
dc.identifier.email chamath@cse.mrt.ac.lk en_US
dc.identifier.email chamath@cse.mrt.ac.lk en_US
dc.identifier.doi 10.1109/MERCon50084.2020.9185199 en_US


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