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.