Automated crack detection on concrete surfaces from images
Train a convolutional neural network to detect and measure cracks in concrete from photographs, to support faster building and bridge inspections.
Scope
- Start with a public crack image dataset, then add your own photos of local structures.
- Train a classifier, then a segmentation model to estimate crack width and length.
- Package it as a simple mobile or web tool for inspectors.