ТЕРЕҢ ОҚЫТУ НЕГІЗІНДЕ ЖОЛ БЕТІНІҢ САПАСЫН АНЫҚТАУ ЖҮЙЕСІН ӘЗІРЛЕУ
Published:
2021-07-07Section:
СтатьиArticle language:
KazakhKeywords:
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.
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