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ТЕРЕҢ ОҚЫТУ НЕГІЗІНДЕ ЖОЛ БЕТІНІҢ САПАСЫН АНЫҚТАУ ЖҮЙЕСІН ӘЗІРЛЕУ

Authors

Name Affiliation
Жалғас Есентай КазНУ
Батырхан Омаров КазНУ им. Аль-Фараби

Published:

2021-07-07

Article language:

Kazakh

Keywords:

Deep learning; analytical system; road surface; strain classification.

Abstract

Roads, which are part of urban infrastructure, are very important to urban life. Roads require regular inspection and repairs due to wear or damage caused by external factors, but building by hand is expensive. Failure to assess the quality of the road in a timely manner can lead to significant costs for structural and financial infrastructure and complete modernization. Computer scans can provide a database of paintings and damage locations on the roads. The article presents an in-depth training system based on the processing of images of roads taken in real time using mobile devices.

Есентай, Ж., & Омаров, Б. (2021). Терең оқыту негізінде жол бетінің сапасын анықтау жүйесін әзірлеу. Вестник ВКТУ, (2). Retrieved from https://vestnik.ektu.kz/index.php/vestnik/article/view/4