Automated defect detection for optical profilometry data using machine learning.
Usage:
1. Upload DATX file(s) or select a demo Tip: Select multiple files for batch viewing
2. Click "Run Inference" to process
3. Adjust percentile to highlight defects
Navigation: Use arrow keys (← →) or A/D to switch between loaded files. Click thumbnails at the bottom to jump to specific files.
Views:
3D: Point cloud visualization of surface data Intensity: Single intensity channel view All Data: Grid view of all datasets found in DATX file
Red highlights indicate detected defects.
Height Scaling:
Auto mode: Automatically scales based on data min/max Manual mode: Set custom min/max values for consistent scaling across datasets Scale multiplier: Adjust the vertical exaggeration (default: 20x)