earticle

영어

With global concerns mounting over the aging of infrastructure and roadways, and the growing emphasis on road maintenance, safety inspections have become a critical priority. Current crack detection models face challenges related to feature loss and performance degradation. In response, we propose an Attention U-Net model designed to minimize information loss and improve crack detection performance, particularly in low-quality images. Additionally, we focus on optimizing image capture and detection on low-spec devices, leading to the development of a lightweight model that performs effectively even in resource-constrained environments.