Industries · Manufacturing
Inspection models for defects too rare to photograph.
Defect detection fails on exactly the defects that are hardest to collect. Aurora synthesizes them — across materials, lighting, and line speeds — so inspection models see the full distribution before they reach the line.
Perception schematic
world / factory_line_03
Sensor stack
RGBDepthNormalsSegmentation2D boxes
The challenge
- Critical defects are rare, so real datasets are imbalanced
- Lighting and material finish shift detection accuracy
- Line speed and camera geometry vary between sites
- Labeling subtle surface defects is subjective and slow
What Aurora provides
Coverage you cannot collect on the floor.
01
Synthesized defects across materials, geometry, and severity
02
Controlled lighting, finish, and line-speed variation
03
Balanced datasets that over-represent the rare classes
04
Deterministic ground truth for every inspection frame
Illustrative scenario
factory_line_03
Surface-defect inspection swept across finishes, lighting, and conveyor speeds.
Get started
Bring Aurora to your manufacturing stack.
Tell us about the machines you are training and the environments they operate in. We will scope a synthetic-data plan with you.