Computer Vision Security Detection Method for Highway Pavement Crack
Taking the highway maintenance project of Zhushan Road in Nanjing city,Jiangsu province as an example,the computer vi-sion safety detection method of highway crack disease problem is studied.Fusion significant half crack detection method based on semi-supervised training,respectively from the overall design idea and specific implementation method,and according to the RCD data set design test results,the proposed detection method accuracy is 83.94%,the recall rate is 95.08%,F1-score is 88.52%,indicating that the method can significantly reduce the dependence on manual annotation information,has a high detection accuracy,anti-noise ability and robustness.The analysis of the actual crack detection effect of highway maintenance engineering proves that this method can realize most of the real image reduction,and the application effect is better than the semantic segmentation network and crack detection network.There are still small areas of omission and false detection at small cracks and edges,and there is still room for further optimi-zation.
NETL
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万方数据
