Inclusion & content rating
Detect and classify inclusions, then rate content by type and severity across fields.
Example outputs shown for illustration. Numbers depend on your samples and protocol.
What you get
The measurement, today
Inclusion ratings gate steel cleanliness acceptance, but chart-comparison rating is coarse and varies between inspectors.
From image to reviewed result
- 1
Calibrate the scale
Set spatial scale from a bar or known dimension. Every downstream number inherits real units.
- 2
Detect & segment
Segmentation models find the objects and regions of interest: grains, particles, pores, fibers, cells.
- 3
Measure
Quantify size, count, area fraction, density, and orientation. The metrics your method already defines.
- 4
Review the overlay
Inspect the result on every field. Adjust thresholds by hand; the change is logged with the output.
- 5
Export & compare
Publication-ready statistics, plus batch comparison across lots, conditions, and time points.
Related applications
Grain size analysis
Average grain size and full distributions, traced automatically from etched micrographs.
Phase & microstructure fraction
Segment phases and constituents to quantify area fraction and spatial distribution.
Fractography
Segment ductile dimple, cleavage, fatigue, and intergranular regions on fracture surfaces.
Send a sample image and a measurement goal
We will show the closest ConductVision workflow and flag what needs custom validation for your images.
