Ushbu maqolada zamonaviy sun’iy intellekt texnologiyalaridan foydalangan holda, "You Only Look Once" algoritmi asosida yo‘l belgilarini aniqlash va tasniflash masalasi o‘rganilgan. Dasturiy majmua O‘zbekiston hududida ko‘p qatnovli avtomobil yo‘llaridagi yo‘l harakati hodisalarini kamaytirish, haydovchilarga yo‘l infratuzilmasi haqida ma’lumotlarni vizual yetkazishga ko‘maklashish va yo‘l belgilari ma’lumotlar bazasini yaratish uchun xizmat qiladi. Mazkur dasturiy majmua videokuzatuv kamerasidan olingan tasvirlar orqali Nvidia Jetson Nano grafik protsessorlari va mobil qurilmalarida real vaqt rejimida amalga oshirildi. Sunʼiy intellekt texnologiyalaridan foydalangan holda, tasvirlardagi yo‘l belgilarini aniqlash, ajratish va tanib olish usullari, algoritmlari va dasturiy majmuasi ishlab chiqildi. Ushbu dasturiy majmua avtomobilga o‘rnatilgan kuzatuv kameralari yordamida real vaqt rejimida yo‘l belgilarini tanish orqali haydovchilarni ogohlantirish va yo‘l transport hodisalarining oldini olishda yuqori samaradorlik ko‘rsatadi. Dunyodagi turli davlatlarda yo‘l transport hodisalarining oldini olish bo‘yicha maʼlum texnologi-yalar va dasturiy vositalar ishlab chiqilgan, ammo bu tizimlar tegishli davlatning yo‘l harakati qoidalariga ixtisoslashgan. Shuningdek, O‘zbekiston Respublikasi hududidagi yo‘l transport hodisalarining oldini olish va ogohlantirish bo‘yicha texnologiyalar ishlab chiqil-magan.
Ushbu maqolada zamonaviy sun’iy intellekt texnologiyalaridan foydalangan holda, "You Only Look Once" algoritmi asosida yo‘l belgilarini aniqlash va tasniflash masalasi o‘rganilgan. Dasturiy majmua O‘zbekiston hududida ko‘p qatnovli avtomobil yo‘llaridagi yo‘l harakati hodisalarini kamaytirish, haydovchilarga yo‘l infratuzilmasi haqida ma’lumotlarni vizual yetkazishga ko‘maklashish va yo‘l belgilari ma’lumotlar bazasini yaratish uchun xizmat qiladi. Mazkur dasturiy majmua videokuzatuv kamerasidan olingan tasvirlar orqali Nvidia Jetson Nano grafik protsessorlari va mobil qurilmalarida real vaqt rejimida amalga oshirildi. Sunʼiy intellekt texnologiyalaridan foydalangan holda, tasvirlardagi yo‘l belgilarini aniqlash, ajratish va tanib olish usullari, algoritmlari va dasturiy majmuasi ishlab chiqildi. Ushbu dasturiy majmua avtomobilga o‘rnatilgan kuzatuv kameralari yordamida real vaqt rejimida yo‘l belgilarini tanish orqali haydovchilarni ogohlantirish va yo‘l transport hodisalarining oldini olishda yuqori samaradorlik ko‘rsatadi. Dunyodagi turli davlatlarda yo‘l transport hodisalarining oldini olish bo‘yicha maʼlum texnologi-yalar va dasturiy vositalar ishlab chiqilgan, ammo bu tizimlar tegishli davlatning yo‘l harakati qoidalariga ixtisoslashgan. Shuningdek, O‘zbekiston Respublikasi hududidagi yo‘l transport hodisalarining oldini olish va ogohlantirish bo‘yicha texnologiyalar ishlab chiqil-magan.
В данной статье рассматривается проблема идентификации и классификации дорожных знаков на основе алгоритма You Only Look Once с использованием современных технологий искусственного интеллекта. Программный комплекс поможет снизить количество аварий на автомобильных дорогах Узбекистана, предоставить водителям наглядную информацию о дорожной инфраструктуре, создать базу данных дорожных знаков. Этот программный комплекс был реализован в режиме реального времени на графических процессорах Nvidia Jetson Nano и мобильных устройствах посредством изображений, снятых с камеры видеонаблюдения. Разработан комплекс методов, алгоритмов и программного обеспечения для обнаружения, выделения и распознавания дорожных знаков на изображениях с использованием технологий искусственного интеллекта. Этот программный комплекс очень эффективен для предупреждения водителей и предотвращения дорожно-транспортных происшествий путем распознавания дорожных знаков в режиме реального времени с помощью камер наблюдения, установленных в автомобиле. В разных странах мира разработаны определенные технологии и программное обеспечение для предотвращения дорожно-транспортных происшествий, но эти системы специализируются на правилах дорожного движения. Однако в Республике Узбекистан не разработаны технологии предупреждения и предотвращения дорожно-транспортных происшествий.
This article discusses the problem of identifying and classifying road signs based on the You Only Look Once algorithm using modern artificial intelligence technologies. The software package will help to reduce traffic accidents on the territory of Uzbekistan, to provide drivers with visual information about the road infrastructure, to create a database of road signs. This software package was implemented in real time on Nvidia Jetson Nano graphics processors and mobile devices through images taken from a video surveillance camera. A set of methods, algorithms and software for the detection, separation and recognition of road signs in images using artificial intelligence technology has been developed. This software package is highly effective in warning drivers and preventing traffic accidents by real-time recognition of road signs with the help of surveillance cameras installed in the car. Certain technologies and software have been developed in various countries around the world to prevent traffic accidents, but these systems specialize in the rules of the road. Also, technologies for the prevention and prevention of road accidents in the territory of the Republic of Uzbekistan have not been developed.
№ | Имя автора | Должность | Наименование организации |
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1 | Umarov M.A. | “Dasturiy injiniring” kafedrasi assistenti | Muhammad al-Xorazmiy nomidagi Toshkent axborot texnologiyalari universiteti Samarqand filiali |
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