Bridge crack detection method and system

The invention discloses a bridge crack detection method and system, and belongs to the technical field of bridge crack detection, and the method comprises the steps: shooting an image of a bridge through a depth camera, converting the image of the bridge into a gray-scale map, and generating a bridge data set; processing the bridge data set to obtain a processed data set; constructing a convolutional neural network and a long-short term memory network, and training the convolutional neural network by taking the output of the long-short term memory network as a soft label to obtain a visual detection model; and inputting the processed data set into the visual detection model for calculation to obtain a crack detection result. According to the invention, the long and short term memory network can encode the sequence data and extract abstract feature representation. And the output of the long and short term memory network is used as the input of the convolutional neural network model, so that richer and higher-l