Insight
Line speed
Inference target. Scoring keeps pace with production throughput.
Use case
Visual defect detection
Radiantze deploys vision models on line cameras for consistent defect flagging at production speed.
Consistent inspection at line speed
Radiantze deploys a vision model trained on labeled images from your line cameras, flagging defects in real time and routing uncertain cases to quality engineers.
Training reflects real shifts and lighting conditions. Parallel human inspection validates catch rates on one line before the model becomes the primary quality gate.
Insight
Review queue
Human gate. Low-confidence detections escalate to experts.
Insight
Retrain
Drift response. New products and lighting trigger model refresh.
Partnership
Radiantze rollout pattern
Vision inspection succeeds when training images reflect real line conditions, not only clean lab photos.
- Define pass, fail, and escalate criteria with quality leads.
- Collect representative images across shifts and lighting.
- Fine-tune from a pre-trained vision model.
- Pilot on one line with parallel human inspection.
Outcome
Enterprise outcome
More consistent defect catch rates, with quality engineers focused on borderline cases instead of every unit.
Radiantze capability stack
Camera integration
Fixed or line cameras feeding a reliable inference pipeline timed to production throughput.
Defect classifier
Model tuned to your product surfaces and failure types so detections match plant quality rules.
Operator UI
Alerts, images, and override actions available on the plant floor for immediate response.