Énergie & Services publics

Inspection par IA pour les infrastructures critiques

De l'imagerie drone aux insights actionnables. Construisez, déployez et supervisez des modèles de vision par ordinateur qui maintiennent votre réseau en fonctionnement.

Wind turbine inspection
Defects Detected
2,847
Model Accuracy
97.3%
10M+
Inspection images processed
95%
Defect detection accuracy
60%
Inspection cost reduction
24/7
Continuous monitoring

Used by teams at

RTE
Architecture

One platform orchestrating your entire vision AI stack

Picsellia sits at the center of your ML operations, connecting field applications with centralized data management, 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

Field Applications

Connected devices running inference at the edge

Running
Inspection Drones
Autonomous flight + on-board inference
Latency< 50ms
Running
Fixed Cameras
Substation monitoring + alerts
Latency24/7
Running
Thermal Sensors
Hotspot detection + anomaly alerts
LatencyReal-time
Running
Satellite Imagery
Large-scale survey analysis
LatencyOn-demand
Continuous improvement: Field data → Annotation → Retraining → Deployment
Applications

Built for energy infrastructure

From transmission lines to solar farms, Picsellia powers inspection workflows across the energy sector.

Infrastructure Inspection
95%
Detection accuracy

Infrastructure Inspection

Detect damaged insulators, corrosion, and vegetation encroachment from drone imagery. Replace manual inspection with AI-powered analysis.

Predictive Maintenance
40%
Less downtime

Predictive Maintenance

Identify equipment degradation before failures occur. Thermal and visual analysis for transformers, turbines, and grid components.

Security & Surveillance
24/7
Monitoring

Security & Surveillance

Monitor perimeters, detect intrusions, and ensure site security across remote energy installations with real-time video analytics.

Safety Protocols
80%
Fewer incidents

Safety Protocols

Ensure PPE compliance, detect hazardous conditions, and monitor worker safety across energy facilities with automated visual checks.

Platform

From raw images to production AI

Four steps to transform your inspection data into automated defect detection. Each step builds on the last.

1
Collect

Centralize all your inspection data

Stop juggling files across hard drives and cloud folders. Every image from every drone flight, every camera feed, every thermal scan — all in one searchable place.

Connect any storage (S3, Azure, GCS)
Auto-extract GPS & metadata
Search by location, date, or equipment
Version your datasets automatically
Learn about Datalake
Datalake
Data collection
Labeling Tool
Annotation
2
Annotate

Label defects with your experts

Your maintenance engineers know what a cracked insulator looks like. Capture that knowledge by marking defects in images. AI suggestions speed up the work by 10x.

AI pre-labels obvious defects
Experts review and correct
Custom defect categories
Quality control workflows
Learn about Labeling Tool
3
Train

Build your detection models

Turn your labeled data into AI models that detect defects automatically. No PhD required — pick a model type, click train, and track progress in real-time.

One-click model training
Compare different approaches
Track all experiments
Reproducible results
Learn about Experiment Tracking
Training
Model training
Deployment
Model deployment
4
Deploy

Put AI to work in the field

Deploy your model to drones, cameras, or cloud APIs with one click. Monitor performance live and get alerts if accuracy drops. Retrain when needed.

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

The result? AI-powered inspection at scale.

10x
Faster labeling with AI assistance
95%
Defect detection accuracy
< 100ms
Edge inference latency
24/7
Continuous monitoring
Enterprise Ready

Built for critical infrastructure requirements

Energy companies operate under strict security and compliance requirements. Picsellia is designed to meet these demands from day one.

ISO 27001 Certified

Enterprise-grade security and data protection

On-Premise Deployment

Keep sensitive infrastructure data within your network

Air-Gapped Support

Operate in disconnected environments

Role-Based Access

Fine-grained permissions for teams and contractors

Audit Logging

Complete traceability for compliance requirements

Security First

Your infrastructure data stays protected

AES-256
Encryption
99.9%
Uptime SLA
EU/US
Data Residency
Daily
Backup
INFRASTRUCTURE_AI

Ready to modernize your inspection workflow?

See how leading energy companies use Picsellia to detect defects faster and reduce inspection costs.

10M+
Images analyzed
<100ms
Edge inference
99.9%
Uptime
ISO 27001
Certified