基于人工智能的混凝土桥梁裂缝识别方法及应用

Recognition of Concrete Bridge Cracks Based on Artificial Intelligence:Method and Application

目前无人机进行桥梁检测时,仅是操纵无人机抵近桥梁进行高清图像采集生成结构全景图,桥梁的裂缝缺陷仍然需要人工测量与统计,造成检测结果的主观性误差。基于此,将机器视觉的自动检测系统应用于无人机,提出一种基于无人机的人工智能裂缝识别方法,可以对病害进行裂缝高效自动识别,经过对试验桥梁开展实际检测,取得良好的效果。

At present,when UAV carries out bridge detection,It is only to manipulate the UAV to approach the bridge for high-definition image acquisition to generate the structural panorama.The crack defects of the bridge still need to be measured and counted manually,resulting in the subjective error of the detection results.Based on this,the automatic detection system of machine vision is applied to UAV,and an artificial intelligence crack recognition method based on UAV is proposed,which can identify cracks efficiently and automatically for diseases.Good results have been achieved.