Aerospace

Computer vision for aircraft inspection & navigation

From surface defect detection to assembly verification. Build, deploy, and monitor vision AI models that meet aerospace-grade requirements.

Aircraft inspection with computer vision
Defects Detected
12,400+
Model Accuracy
98.2%
5M+
Inspection images processed
98%
Defect detection accuracy
70%
Faster inspections
0
Missed critical defects
Architecture

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

Picsellia MLOps Platform

Centralized orchestration layer

Data Management
Data Management
Centralize & version
Annotation
Annotation
Label & review
Training
Training
Build & experiment
Deployment
Deployment
Ship & monitor
Data Upload
Inference
Visualization
Human Feedback

Inspection Sources

Connected devices running inference at the edge

Running
Hangar Cameras
Fixed high-res inspection stations
Latency< 30ms
Running
Drone Inspection
Autonomous surface scanning
Latency< 50ms
Running
Borescope Feeds
Engine internal inspection
LatencyReal-time
Running
Satellite Imagery
Airfield & facility surveys
LatencyOn-demand
Continuous improvement: Inspection data → Annotation → Retraining → Deployment
Applications

Built for aerospace operations

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

Aircraft Surface Inspection
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.

Component Wear 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.

Foreign Object Debris (FOD)
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.

Assembly Verification
99.5%
Compliance rate

Assembly Verification

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

Platform

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
Learn about Datalake
Datalake
Data collection
Labeling Tool
Annotation
2
Annotate

Label defects with your engineers

Your MRO engineers know what a fatigue crack looks like. Capture that expertise by labeling defects in images. AI pre-annotation accelerates the process by 10x.

AI pre-labels common defects
Engineers review and correct
Custom defect taxonomies
Quality control workflows
Learn about Labeling Tool
3
Train

Build traceable detection models

Turn labeled inspection data into AI models with full experiment tracking. Every dataset version, hyperparameter, and result is logged for auditability.

One-click model training
Compare model architectures
Full experiment lineage
Reproducible results
Learn about Experiment Tracking
Training
Model training
Deployment
Model deployment
4
Deploy

Deploy to hangars and airfields

Ship models to edge devices in hangars, on drones, or via cloud APIs. Monitor performance in real-time and retrain when accuracy drifts.

Deploy to edge or cloud
Real-time monitoring
Automatic drift detection
One-click retraining
Learn about Deployment

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
Enterprise Ready

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

Air-Gapped Support

Operate in fully disconnected environments

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
99.9%
Uptime SLA
EU/US
Data Residency
Daily
Backup
AEROSPACE_AI

Ready to automate your inspection workflows?

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

5M+
Images analyzed
<50ms
Edge inference
99.9%
Uptime
ISO 27001
Certified