Please use this identifier to cite or link to this item: https://rda.sliit.lk/handle/123456789/2906
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dc.contributor.authorNizzad, A. R. M-
dc.contributor.authorSameer, U. M-
dc.contributor.authorSuhath, S. M-
dc.contributor.authorMohamed Nafrees, A. C-
dc.contributor.authorRankothge, W. H-
dc.contributor.authorKehelella, P. H.-
dc.contributor.authorMansoor, C. M. M.-
dc.date.accessioned2022-08-23T05:54:00Z-
dc.date.available2022-08-23T05:54:00Z-
dc.date.issued2021-12-10-
dc.identifier.citationA. R. M. Nizzad et al., "Internet of Things Based Automatic System for the Traffic Violation," 2021 5th International Conference on Electrical, Electronics, Communication, Computer Technologies and Optimization Techniques (ICEECCOT), 2021, pp. 371-376, doi: 10.1109/ICEECCOT52851.2021.9708060.en_US
dc.identifier.issn978-1-6654-3272-6-
dc.identifier.urihttp://rda.sliit.lk/handle/123456789/2906-
dc.description.abstractAn efficient and effective motor traffic management is crucial for any Intelligent Transportation System (ITS) to reduce traffic violations. Scientific evidence suggests that exceeding the speed limit is the most important factor that impacts the severity, fatality and other risks associated with motor vehicle collisions. However, due to the lack of proper technology used in the transport sector, there are possibilities for traffic law violators get unnoticed. Therefore, this study provides a solution based on Internet of Things with Image Processing technology to process the vehicle registration number to uniquely identify the vehicles that are violating traffic laws. The outcome confirms that the architecture is viable for the low-cost automation of traffic fine for the speed violation. In addition, it is recommended to use more robust mechanism to capture the real time speed of any fast-moving vehicle. In conclusion, the proposed architecture with slight modification can be deployed for many commercial test cases such as traffic management, parking, vehicle counting, data privacy, data security and more.en_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.ispartofseries2021 5th International Conference on Electrical, Electronics, Communication, Computer Technologies and Optimization Techniques (ICEECCOT);-
dc.subjectAutomatic Systemen_US
dc.subjectTraffic Violationen_US
dc.subjectInterneten_US
dc.subjectThings Based Automaticen_US
dc.titleInternet of Things Based Automatic System for the Traffic Violationen_US
dc.typeArticleen_US
dc.identifier.doi10.1109/ICEECCOT52851.2021.9708060en_US
Appears in Collections:Department of Computer systems Engineering-Scopes
Research Papers - Dept of Computer Systems Engineering
Research Papers - IEEE
Research Papers - SLIIT Staff Publications

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