A survey: research on image-based detection of concrete structure cracks

Concrete cracks significantly threaten buildings' safety and service life, necessitating early detection and prevention. The low efficiency and high cost of traditional manual detection methods make obtaining high-quality detection data in complex environments difficult. This paper aims to introduce deep learning artificial neural network-based crack detection methods for concrete components, highlighting the achievements of various algorithmic models in image processing and their performance evaluation.