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AI-powered structural surface analysis

Detect cracks.
Understand damage.
See the detail that matters.

Turn images and videos into precise segmentation masks and measurable crack geometry. Powered by your trained models.

From surface to insight

THE CRACKVISION WORKFLOW
01

Bring your media

Inspect concrete surfaces from a single image or a full video.

02

Apply your model

Use validated PyTorch or Keras checkpoints from your training.

03

Reveal each crack

Compare the original surface with masks and annotated overlays.

04

Measure & export

Explore crack geometry and download a complete analysis report.

One image. Every connected crack.

Inspect masks, bounding boxes, centroids, and pixel-based measurements.

Image segmentation

Inspect beyond a single frame.

Process video with frame statistics and downloadable annotated results.

Video segmentation

Your research, connected.

Manage models and revisit your inspections in one personal workspace.

Model library
Development build · Real inference requires a connected Python server and compatible trained model.Setup
© 2026 CrackVision AI / Surface intelligenceImage-space measurements. Engineering context matters.