Solution Manufacturing
Predictive Quality with Vision AI
Computer vision on the line that catches defects in real time and predicts quality issues before they spread.
+25-35%Typical defect detection improvement
Real-timeInline inspection at line speed
PredictiveDrift detected before defects appear
Typical outcomes for this kind of engagement. Results depend on your data and starting point.
THE CHALLENGE
Manual inspection is inherently inconsistent (it varies by inspector, degrades across a shift, and cannot keep pace with modern line speeds), so defects escape and the quality data collected is too noisy to drive improvement.
- Manual inspection inconsistent between inspectors and across a shift
- Inspection unable to keep pace with line speed, so coverage is partial
- Defects discovered after further value has been added, multiplying scrap cost
OUR APPROACH
CloudGate deploys custom vision models trained on your own defect imagery, running inference on Azure IoT Edge at line speed so every unit is inspected without slowing production.
- Custom vision models trained on your own defect imagery and classes
- Edge inference at full line speed with no throughput penalty
- Early drift detection flagging quality issues before defects appear
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