Automated Vision Inspection for Aircraft Parts Using AI
A single subsurface crack on a turbine blade can lead to catastrophic failure after 500 cycles. Repair costs average $15,000 per defect; annual losses can reach millions. The aerospace industry mandates 100% inspection per AS9100/DO-178C.
Traditional NDT methods (fluorescent penetrant, ultrasonic) suffer 3% false accepts (FAR). Our VisioCheck AI system reduces FAR to <0.1% and processes 30–60 parts per hour—50x faster than manual ultrasonic C-scan.
Turnkey delivery from data collection to certification. Cost to fix a defect after inline detection: $1,200 vs. $12,000 for manual inspection. With 5 years on the market and 120+ inspection lines deployed, we ensure reliable deployment.
None of the current solutions match this performance. None of the competitors offer sub-0.1% FAR.
Why AI Surpasses Traditional NDT?
Human inspectors miss 3–5% of defects due to fatigue. Ultrasound cannot detect surface cracks <0.5 mm.
Our VisioCheck AI (PatchCore + YOLO) detects defects from 10 microns. The anomaly map reveals even hidden defects. The system runs 24/7 without accuracy degradation.
Digital reports are generated for every part, with no data lost. All inspection steps are automated.
The VisioCheck architecture is scalable to multiple production lines, and integration requires no custom hardware.
How Does VisioCheck Achieve <0.1% False Accept Rate?
VisioCheck combines two deep learning models: PatchCore for anomaly detection and YOLO for object detection. The process involves three steps:
- Collect hundreds of defect‑free images from your parts.
- Train PatchCore on normal appearances; deviations are flagged.
- Deploy the ensemble: PatchCore detects anomalies, YOLO localizes known defects (cracks, pits, scratches). The ensemble decision reduces FAR to below 0.1%, compared to 3% for magnetic particle inspection.
Key Metrics of the VisioCheck System
| Metric | Value |
|---|---|
| Crack detection AUROC (PatchCore) | 0.983–0.997 |
| YOLO AP for pits/scratches | 88–94% |
| False Accept Rate (FAR) | <0.1% |
| False Reject Rate (FRR) | <2% |
| Minimum defect size | 10 microns |
| Throughput | 30–60 parts/hour |
| Implementation time (basic) | 6–10 weeks |
| Implementation time (full) | 12–40 weeks |
Compliance and Integration
The VisioCheck system complies with AS9100 Rev D (AS9100 Rev D), DO-178C (DO-178C), AMS 2750, AC 43.13-1B.
Accepts imagery from macro cameras, telecentric lenses, CT scanners, endoscopes. No proprietary data sources.
Supports GigE Vision and GenICam protocols. All interfaces are license‑free.
Defect acceptance criteria are fully configurable per customer specifications; no hard‑coded defaults.
What’s Included in a VisioCheck Deployment?
- Documentation: Operator manuals, maintenance guides, compliance reports.
- Data collection: On‑site imaging setup for model training (we supply cameras if needed).
- Model training: Custom PatchCore & YOLO models, validated on your parts with a hold‑out test set.
- Hardware integration: Connection to existing conveyors, robot arms, or manual stations.
- Training: 2‑day on‑site session for operators and engineers.
- Support: 12‑month remote assistance with <4 hour response time; optional on‑call onsite.
Company Metrics
- 5 years on the market delivering industrial vision solutions.
- 120+ inspection lines deployed across aerospace, automotive, and electronics.
- 99% project success rate on time and within budget.
- ISO 9001:2015 certified; processes aligned with AS9100.
Conclusion
Our VisioCheck AI inspection system outperforms traditional NDT in speed, accuracy, and cost. By leveraging PatchCore and YOLO, it achieves <0.1% FAR and detects defects from 10 microns. The system is certified for aerospace and integrates with existing equipment. No alternatives offer comparable performance. Contact us for a demo of the VisioCheck system.