Defect Detection & Counting
Automated defect identification and counting
Example outputs shown for illustration. Numbers depend on your samples and protocol.
Results
What the analysis returns, tied back to the image it came from.
Multi-Class Detection
Distinguish voids, cracks, inclusions, and scratches in a single analysis pass
Severity Scoring
Automatically classify defects by size, aspect ratio, and location relative to critical features
Defect Mapping
Generate spatial defect density maps for quality control documentation
From image to reviewed result
- 1
Upload
Load surface or cross-section images
- 2
Detect
AI identifies defect locations and types
- 3
Classify
Categorize by type and severity
- 4
Export
Download defect maps, counts, and severity reports
Works with your existing tools
Defect Detection & Counting with ConductVision Image
Detect, classify, and count surface defects including voids, cracks, inclusions, and scratches in manufactured materials. ConductVision’s defect detection works across polished metals, ceramics, and composite cross-sections with configurable severity thresholds.
Not sure this is the right measurement?
Send a representative image and your measurement goal. A ConductVision scientist will confirm whether this is the right fit, or point you to the closer workflow, before you commit to a quote.
Send a sample image and a measurement goal
We will show the closest ConductVision workflow and flag what needs custom validation for your images.
