Automated vehicle number plate recognition in real-time using computer vision technologies

dc.contributor.authorBodnar, A.
dc.contributor.authorPolshakova, O.
dc.date.accessioned2025-05-22T12:47:58Z
dc.date.available2025-05-22T12:47:58Z
dc.date.issued2025
dc.description.abstractThis article explores the development and application of computer vision across various fields, particularly in transportation and public safety. License plate recognition using advanced technologies ensures accuracy and reliability in managing next generation transport operations. The integration of these technologies with other modern systems makes them critically important for ensuring safety and efficiency. It is projected that the use of computer vision technologies will rapidly increase as they provide essential functions in security, transportation, and other sectors. License plate recognition is a key element of many AI programs and systems, underscoring their significance for contemporary society. This work examines the limitations of current license plate recognition systems and proposes the use of YOLOv8 and EasyOCR libraries for implementing license plate recognition algorithms. YOLOv8 is used for detecting license plates in images, including preprocessing and image quality enhancement. EasyOCR is used for text recognition on license plates, thanks to its highly efficient API.
dc.format.pagerangeС. 117-128
dc.identifier.citationBodnar, A. Automated vehicle number plate recognition in real-time using computer vision technologies / A. Bodnar, O. Polshakova // Адаптивні системи автоматичного управління : міжвідомчий науково-технічний збірник. – 2025. – № 1 (46). – С. 117-128. – Бібліогр.: 6 назв.
dc.identifier.doihttps://doi.org/10.20535/1560-8956.46.2025.323693
dc.identifier.urihttps://ela.kpi.ua/handle/123456789/73904
dc.language.isoen
dc.publisherКПІ ім. Ігоря Сікорського
dc.publisher.placeКиїв
dc.relation.ispartofАдаптивні системи автоматичного управління : міжвідомчий науково-технічний збірник, № 1 (46), 2025
dc.rights.urihttps://creativecommons.ru/licenses
dc.subjectcomputer vision
dc.subjectlicense plate recognition
dc.subjecttransport industry
dc.subjectimage processing
dc.subjectAI technologies
dc.subjectYOLOv8
dc.subjectEasyOCR
dc.subject.udc004.93
dc.titleAutomated vehicle number plate recognition in real-time using computer vision technologies
dc.typeArticle

Файли

Контейнер файлів
Зараз показуємо 1 - 1 з 1
Вантажиться...
Ескіз
Назва:
117-128.pdf
Розмір:
949.17 KB
Формат:
Adobe Portable Document Format
Ліцензійна угода
Зараз показуємо 1 - 1 з 1
Ескіз недоступний
Назва:
license.txt
Розмір:
8.98 KB
Формат:
Item-specific license agreed upon to submission
Опис: