|
Named after muhammad al-khorezmi tashkent university of information technologies fergana branchBog'liq m12
MINISTRY OF DIGITAL TECHNOLOGIES OF THE REPUBLIC OF UZBEKISTAN
NAMED AFTER MUHAMMAD AL-KHOREZMI
TASHKENT UNIVERSITY OF INFORMATION TECHNOLOGIES
FERGANA BRANCH
Akhmadjonov Ikhtiyorjon Ravshanjon ugli
Research and development of a license plate recognition system based on artificial intelligence
(Исследование и разработка системы распознавания автомобильных номеров на основе искусственного интеллекта)
70610501 – Computer engineering
(Design of computer systems)
Written to get a master’s academic degree
DISSERTATION
Supervisor: docent. R. Zulunov
FERGANA-2024
Annotation
This introduction provides a comprehensive overview of the dissertation's focus on license plate recognition systems and artificial intelligence-based image recognition technologies. It establishes the significance of image recognition in computer vision research and highlights the advancements in deep learning algorithms that have propelled the field forward. The introduction sets the stage for a detailed exploration of AI image recognition methodologies and their application in license plate recognition systems, emphasizing the potential impact of intelligent systems on real-world scenarios. The dissertation aims to contribute to the evolving discourse on intelligent technologies, offering valuable insights into the intersection of AI, computer vision, and image recognition.
Annotatsiya
Ushbu muqaddima dissertatsiyaning avtomobil raqamlarini aniqlash tizimlari va sun'iy intellektga asoslangan tasvirni aniqlash texnologiyalariga e'tiborini har tomonlama ko'rib chiqadi. U kompyuterni ko'rishni tadqiq qilishda tasvirni tanib olishning ahamiyatini belgilaydi va sohani oldinga siljitgan chuqur o'rganish algoritmlaridagi yutuqlarni ta'kidlaydi. Kirish AI tasvirni aniqlash metodologiyalarini va ularni avtomobil raqamlarini aniqlash tizimlarida qo'llashni batafsil o'rganish uchun zamin yaratadi, intellektual tizimlarning real dunyo stsenariylariga potentsial ta'sirini ta'kidlaydi. Dissertatsiya AI, kompyuterni ko'rish va tasvirni tanib olish kesishuvi haqida qimmatli fikrlarni taklif qilib, intellektual texnologiyalar bo'yicha rivojlanayotgan nutqqa hissa qo'shishga qaratilgan.
Аннотации
В этой магистерской диссертации было проведено исследование методологии и системы защиты информации в железнодорожной системе. Основная цель и задача работы - необходимость обеспечения информационной безопасности в системе железных дорог, создание методов ее технической защиты, создание кодированного метода защиты информации в системе железных дорог и разработка практических рекомендаций по их обеспечению. использовать.
|
| |
