Additive manufacturing QC
From powder morphology to post-build cross-sections: layer anomalies and pore maps.
Example outputs shown for illustration. Numbers depend on your samples and protocol.
What you get
The measurement, today
Metal AM fails expensively and late. Image streams from powder, layers, and cross-sections hold the early warning signs.
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
Metal powder feedstock QC
Particle size, sphericity, and satellite fraction for metal AM feedstock.
Printed-part porosity
Porosity fraction with lack-of-fusion versus gas-pore classification from a cross-section.
Battery electrode analysis
Coating, particle, pore, and crack measurements for electrodes, before and after cycling.
Send a sample image and a measurement goal
We will show the closest ConductVision workflow and flag what needs custom validation for your images.
