Please use this identifier to cite or link to this item: https://dspace.univ-ouargla.dz/jspui/handle/123456789/37266
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dc.contributor.authorLati, Abdelhai-
dc.contributor.authorBelaggoun, Brahim-
dc.contributor.authorHadji, Khaled-
dc.contributor.authorLimane, Ahmed-
dc.date.accessioned2024-10-14T09:02:10Z-
dc.date.available2024-10-14T09:02:10Z-
dc.date.issued2024-
dc.identifier.citationFACULTY OF NEW TECHNOLOGIES OF INFORMATION AND COMMUNICATIONen_US
dc.identifier.urihttps://dspace.univ-ouargla.dz/jspui/handle/123456789/37266-
dc.descriptionElectronic of Embedded Systemsen_US
dc.description.abstractIn recent years, Automatic Number Plate Recognition (ANPR) and vehicle speed estima- tion systems have become essential to enhance safety and security such as traffic management, highway speed monitoring and stolen vehicle detection. This has created an urgent need for automated systems that can monitor speeding vehicles and facilitate appropriate enforcement actions, thereby supporting the development of comprehensive monitoring systems. This article aims to implement a system using YOLOv8 and the SORT algorithm. The proposed model first detects vehicles, then estimates their speed, and finally recognizes the license plates of speeding vehicles. Through this approach, we aim to demonstrate an efficient method for real-time traffic monitoring and enforcement.en_US
dc.description.sponsorshipDepartment of Electronic and Telecommunicationsen_US
dc.language.isoenen_US
dc.publisherUNIVERSITY OF KASDI MERBAH OUARGLAen_US
dc.subjectObject Detectionen_US
dc.subjectSpeed Estimationen_US
dc.subjectLicense Plate Recognitionen_US
dc.subjectTrackingen_US
dc.subjectYolo,en_US
dc.titleDetection, Tracking, Speed Estimation, and Presented by: ❖ Plate Bekkari Mohammed Abde Nacerof Vehicles: License Recognition ❖ Dellah Nacer Eddine A Practical Study Soufiane with YOLOV8 and SORTen_US
dc.typeThesisen_US
Appears in Collections:Département d'Electronique et des Télécommunications - Master

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