Title: Building a compact model of Artificial intelligence for detecting road cracks caused by subsidence
Authors: Phuong Thao CAO , Quang Huy CHU
Volume: 9
Issue: 9
Pages: 204-211
Publication Date: 2025/09/28
Abstract:
Environmental and many other reasons can cause the damage and subsidence of road surfaces. We need to detect signs of damage as soon as possible to warn of accidents and carry out repairs promptly. Therefore, technical methods of road surface factors monitor are very important in the construction industry. Currently, there are many image processing approaches of artificial intelligence to detect cracks but they have encountered the obstacle of needing large datasets. To overcome this feature, our research proposes a model based on Encoder - Decoder of artificial intelligence to detect road cracks. The program can run with small datasets and it has high accuracy.