Aerospace · Production · Trade press
Safran uses Loopr AI and synthetic data to inspect painted aircraft cabin parts
| Company / plant | Safran (cabin / lavatory parts); rollout to Marysville, WA and Santa Maria, CA |
|---|---|
| Defect type | Cosmetic paint defects: scratches, paint discoloration, paint bubbles |
| Part | Aircraft lavatory parts (toilet lids/seats) and cabin assemblies |
| Material | Painted cabin parts |
| Vendor | Loopr AI |
| Camera / lighting | Robotic arm photographs parts before and after painting; hybrid mode uses inspector-taken photos from several angles |
| Training data | Synthetic samples generated from existing images to make up for low defect-sample volume; real data used to validate |
| Reported result (quoted) | Toilet-seat inspection went from "20 to 30 minutes" to "five to 10 minutes"; "90.9% recall"; "we're able to produce 10% to 15% more than before" |
| Notes | Business Insider, Sep 16, 2026. Humans review, confirm or correct the AI's findings. After completed pilots, Safran is introducing the system at its Marysville and Santa Maria facilities. |
| Defect categories | Paint & coating, Surface scratches/dents |
| Source | https://www.businessinsider.com/benefits-of-synthetic-data-ai-training-aviation-manufacturing-2026-9 |
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