Automated vehicle number plate recognition in real-time using computer vision technologies
This 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...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Igor Sikorsky Kyiv Polytechnic Institute
2025-02-01
|
| Series: | Adaptivni Sistemi Avtomatičnogo Upravlinnâ |
| Subjects: | |
| Online Access: | https://asac.kpi.ua/article/view/323693 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | This 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.
Ref. 6, fig. 11
|
|---|---|
| ISSN: | 1560-8956 2522-9575 |