Research on the automatic crack detection system of asphalt pavement based on deep learning

This study aims to develop a deep learning-based automatic asphalt pavement crack detection system to improve road maintenance efficiency and safety. Through detailed analysis of crack features, deep learning model is used for crack detection, and data processing, model training and optimization to ensure the efficient identification of the system in different scenarios. The experimental results show that the system has stability and reliability, providing strong technical support for road maintenance.