Cement Structures Crack Database Methods Acquisition and Preparation: A Review

Human-built infrastructure must be monitored to ensure the safety of its users. Therefore, Structural Health Monitoring (SHM) of concrete structures such as bridges, dams and tunnels is increasingly being carried out, by using automated methods rather than traditional manual methods. This study will examine data acquisition methods for developing reliable databases on cracks in concrete structures. A key focus of this study will be the major role of drones in capturing high-resolution optical and thermal images. The reliability of AI-based models depends on effective noise handling, by using techniques such as RANSAC, and adaptive binarization to adress environmental interference. By comparing field methodologies, the study looks at the trade-offs between measurement accuracy, cost, and real-time processing for future automated infrastructure assessment.