license plate recognition system

A tétel rövid nézete
dc.contributor.advisorAlowmari, Ahmed
dc.contributor.authorSmagulov, Arlen
dc.contributor.departmentDE--Műszaki Kar
dc.date.accessioned2023-12-20T13:27:39Z
dc.date.available2023-12-20T13:27:39Z
dc.date.created2023
dc.description.abstractThis thesis focuses on the development and deployment of a sophisticated licence plate recognition (LPR) system, utilising machine learning and computer vision methodologies, specifically targeting residential regions. The main aim of this study is to develop a resilient system that can effectively detect and categorise licence plates in real-time from both pictures and video feeds. This system will be optimised to enhance access control within residential complexes. The objective of this study is to overcome the current deficiencies observed in residential-focused Licence Plate Recognition systems. The aforementioned restrictions pertain to difficulties associated with achieving accuracy, adjusting to diverse environmental circumstances, and the requirement for uninterrupted, instantaneous data processing. The objective of this thesis is to further the development of licence plate recognition technology, with a specific focus on addressing the challenges posed by residential contexts.
dc.description.courseMechatronics Engineering BSc
dc.description.degreeBSc/BA
dc.format.extent70
dc.identifier.urihttps://hdl.handle.net/2437/364138
dc.language.isoen
dc.rights.accessHozzáférhető a 2022 decemberi felsőoktatási törvénymódosítás értelmében.
dc.subjectlicense plate, number plate, recognition
dc.subject.dspaceDEENK Témalista::Informatika::Informatikai rendszerek
dc.titlelicense plate recognition system
Fájlok
Gyűjtemények
Theses (Department of Electrical Engineering and Mechatronics)