# Vision par ordinateur pour l'inspection et la navigation aéronautique

De la détection de défauts de surface à la vérification d'assemblage. Construisez, déployez et supervisez des modèles d'IA visuelle conformes aux exigences aérospatiales.

Defects Detected

12,400+

Model Accuracy

98.2%

5M+

Inspection images processed

98%

Defect detection accuracy

70%

Faster inspections

0

Missed critical defects

## One platform for your entire inspection AI stack

Picsellia connects hangar floor cameras, drone feeds, and borescope imagery with centralized data management, model training, and deployment.

### Picsellia MLOps Platform

Centralized orchestration layer

ACTIVE

- Data Management: Centralize & version

- Annotation: Label & review

- Training: Build & experiment

- Deployment: Ship & monitor

Data Upload

Inference

Visualization

Human Feedback

### Inspection Sources

Connected devices running inference at the edge:

- 4 CONNECTED
- Hangar Cameras: Fixed high-res inspection stations (Latency< 30ms)
- Drone Inspection: Autonomous surface scanning (Latency< 50ms)
- Borescope Feeds: Engine internal inspection (Latency: Real-time)
- Satellite Imagery: Airfield & facility surveys (Latency: On-demand)

Continuous improvement: Inspection data → Annotation → Retraining → Deployment

## Built for aerospace operations

From MRO hangars to production lines, Picsellia powers visual inspection workflows across the aerospace industry.

- 98% Detection accuracy

### Aircraft Surface Inspection

Detect cracks, dents, corrosion, and paint damage on fuselage and wing surfaces. Replace time-consuming walkarounds with automated visual analysis.

- 50% Less downtime

### Component Wear Analysis

Monitor turbine blades, landing gear, and hydraulic systems for signs of fatigue or wear. Predict maintenance needs before failures occur.

- 24/7 Monitoring

### Foreign Object Debris (FOD)

Detect debris on runways, taxiways, and in hangars that could cause damage to engines or airframes. Real-time alerts for ground crews.

- 99.5% Compliance rate

### Assembly Verification

Verify correct assembly of complex components, wiring harnesses, and fastener patterns. Ensure compliance with engineering specifications.

## From raw imagery to certified AI

Four steps to transform inspection data into automated defect detection with full traceability:

1. **Collect**
   - Centralize all inspection imagery
   - Aggregate images from hangar cameras, drones, borescopes, and manual inspections into a single versioned repository with full metadata.
   - Connect any storage (S3, Azure, GCS)
   - Auto-extract metadata & tail numbers
   - Search by aircraft, zone, or date
   - Version your datasets automatically

2. **Annotate**
   - Label defects with your engineers
   - Capture expertise by labeling defects in images. AI pre-annotation accelerates the process by 10x.

3. **Train**
   - Build traceable detection models
   - Turn labeled inspection data into AI models with full experiment tracking.

4. **Deploy**
   - Deploy to hangars and airfields
   - Monitor performance in real-time and retrain when accuracy drifts.

### The result? Inspection AI that meets aerospace standards.

- 10x Faster labeling with AI assistance
- 98% Defect detection accuracy
- < 50ms Edge inference latency
- 100% Audit traceability

## Built for aerospace-grade requirements

Aerospace operations demand the highest levels of security, traceability, and compliance. Picsellia is designed to meet these standards from day one.

### ISO 27001 Certified

- Enterprise-grade security and data protection
- On-Premise Deployment: Keep sensitive inspection data within your network
- Full Audit Trail: Every action logged for regulatory compliance
- Role-Based Access: Fine-grained permissions for teams and contractors
- Security First: Your inspection data stays protected
- AES-256 Encryption

## Ready to automate your inspection workflows?

See how aerospace companies use Picsellia to detect defects faster and reduce aircraft downtime.