VELUX Manufacturing Defect Detection
Client: VELUX Group (window manufacturing) Domain: Manufacturing quality inspection
Project Overview
AI-powered visual inspection system for manufacturing defect detection, demonstrating Trifork's capability in high-precision industrial computer vision.
Relevance to YPF
| Capability | VELUX Deployment | YPF Application |
|---|---|---|
| Detection Precision | Sub-millimeter defects | Small leak detection |
| Throughput | High-volume production | Continuous monitoring |
| Integration | Manufacturing systems | SAP PM integration |
| Accuracy | Production-grade SLA | ≥95% accuracy target |
Technical Approach
Detection Methodology
- Multi-stage visual inspection pipeline
- Defect classification and grading
- Real-time production line integration
- Quality trend analysis
Accuracy Achieved
| Metric | Result |
|---|---|
| Detection Rate | >95% for target defect classes |
| False Positive Rate | <3% |
| Processing Speed | Real-time production speed |
Transferable Learnings
For YPF Use Cases
-
Valve/Tank Operational Status (Use Case #16)
- Visual state recognition
- Indicator reading patterns
-
Electromechanical Protection (Use Case #13)
- Equipment status classification
- Position/state detection
-
High-Accuracy Pipeline Design
- Multi-stage validation
- Confidence thresholding
- Human-in-loop escalation
Quality Assurance Patterns
| Pattern | VELUX Application | YPF Application |
|---|---|---|
| Multi-pass validation | Defect confirmation | Anomaly confirmation |
| Confidence scoring | Defect severity | Alert prioritization |
| Edge case handling | Unusual defect types | Novel anomaly types |
| Feedback loop | Operator correction | Model improvement |
Trifork's manufacturing CV experience demonstrates the precision and reliability required for YPF's accuracy SLAs.