The invention discloses a crane defect detection system based on unmanned aerial vehicle image recognition. The crane defect detection system comprises an unmanned aerial vehicle body, an unmanned aerial vehicle main controller, an airborne detection device, a communication link system and a ground console, the real-time analysis system adopts an image local region constraint and deconvolution image algorithm to improve the resolution of the acquired image, and then adopts a defect recognition model to obtain a crane surface defect evaluation result; and the unmanned aerial vehicle main controller adjusts the flight direction of the unmanned aerial vehicle body and the shooting angle of the airborne detection device according to the visual evaluation result returned by the ground console.According to the invention, the collected surface structure image can be processed in real time, the accurate crane surface defect evaluation result can be rapidly obtained, the flight direction of the unmanned aerial vehicle and the shooting angle of the airborne detection device are adjusted according to the visual evaluation result, the flight path and shooting parameters of the unmanned aerialvehicle are optimized, and effective back feeding of image processing data is achieved; the shot image quality is improved, and detection efficiency is improved.
本发明公开了一种基于无人机图像识别的起重机缺陷检测系统,包括无人机本体、无人机主控制器、机载探测装置、通讯链路系统和地面控制台;实时分析系统采用图像局部区域约束和反卷积图像算法提高采集图像的分辨率,再采用缺陷识别模型得到起重机表面缺陷评估结果;无人机主控制器根据地面控制台返回的视觉评估结果调整无人机本体的飞行方向和机载探测装置的拍摄角度。本发明能够实时处理采集到的表面结构图像,快速得到较为准确的起重机表面缺陷评估结果,再根据视觉评估结果调整无人机的飞行方向和机载探测装置的拍摄角度,优化无人机的飞行轨迹和拍摄参数,实现图像处理数据的有效反哺,改善拍摄图像质量,提高检测效率。
Crane defect detection system based on unmanned aerial vehicle image recognition and working method
基于无人机图像识别的起重机缺陷检测系统和工作方法
2021-02-09
Patent
Electronic Resource
Chinese
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