A pavement crack detection method based on convolution neural network and image recognition
A convolutional neural network and pavement crack technology, applied in image enhancement, image analysis, image data processing, etc., can solve problems such as large amount of image data, ineffective crack detection, poor pavement crack detection results, etc., and achieve repair The effect of road surface defects, high detection efficiency and fast detection speed
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment 1
[0059] Embodiment 1: a kind of pavement crack detection method based on convolutional neural network and image recognition, the steps are as follows:
[0060] A. Use image acquisition equipment to collect pictures of cracks on the road surface, and preprocess the pictures;
[0061] B, design the convolutional neural network structure and use the processed pictures in step A to train (use various road surface cracks as samples to train the neural network);
[0062] C. Collect road surface pictures and use the trained neural network in step B to judge whether there are defects in the road surface;
[0063] D. If there are defects in the road surface, input the pictures with defects into the trained multi-modal cyclic neural network to obtain the text describing the defects in the road surface, so as to determine the type of cracks.
[0064] Further, the image preprocessing process in the step A includes:
[0065] First, pre-mark the collected pictures, and then pre-process the...
PUM
Abstract
Description
Claims
Application Information
- R&D Engineer
- R&D Manager
- IP Professional
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.
© 2023 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap