Concrete structure surface defect automatic detection method based on computer vision

Abstract

The invention belongs to the technical field of computer vision, and particularly relates to a concrete structure surface defect automatic detection method based on computer vision, which comprises the following steps: performing time axis up-sampling on video data to obtain an image, and inputting the image into a deep convolutional neural network model to obtain a defect position, a defect category and a defect segmentation effect. In actual concrete structure detection, the method provided by the invention is based on a video image recognition technology under a deep learning framework, andthe actual problems of high false detection rate, poor universality and the like in the conventional computer vision method are fundamentally solved; from video image data processing and final resultoutput, the method has the advantages of being high in automation degree, good in real-time performance, high in accuracy, good in universality, convenient to upgrade and maintain in the later periodand the like.

Description

technical field [0001] The invention belongs to the technical field of computer vision, and specifically relates to a method for automatically detecting surface defects of concrete structures based on computer vision, which can be widely used in the detection of surface defects of large concrete structures such as cross-river and sea-crossing bridges, urban viaducts, and urban towering buildings. Background technique [0002] With the rapid development of the national economy and the acceleration of the urbanization process, various large-scale concrete structures have sprung up rapidly. Usage requirements. Regular defect detection of concrete structures can provide relevant maintenance departments with effective maintenance data, thereby ensuring the safety of the building during use and improving the maintenance efficiency of the building. However, most of the current domestic inspections of concrete buildings are based on manual methods, which will inevitably bring extre...

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Problems solved by technology

[0003] The purpose of the present invention is to provide an automatic detection method for concrete structure surface defects based on computer vision. In the actual concrete structure detection, this method is based on the video image recognition technology under the framework of deep learning, which fundamentally solves the problem of previous computer vision methods. There are practical problems such as high false detection rate and poor versatility in

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