AI-powered inspection for critical infrastructure
From drone imagery to actionable insights. Build, deploy, and monitor computer vision models that keep your grid running.
Used by teams at
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 MLOps Platform
Centralized orchestration layer
Field Applications
Connected devices running inference at the edge
Built for energy infrastructure
From transmission lines to solar farms, Picsellia powers inspection workflows across the energy sector.
Infrastructure Inspection
Detect damaged insulators, corrosion, and vegetation encroachment from drone imagery. Replace manual inspection with AI-powered analysis.
Predictive Maintenance
Identify equipment degradation before failures occur. Thermal and visual analysis for transformers, turbines, and grid components.
Security & Surveillance
Monitor perimeters, detect intrusions, and ensure site security across remote energy installations with real-time video analytics.
Safety Protocols
Ensure PPE compliance, detect hazardous conditions, and monitor worker safety across energy facilities with automated visual checks.
From raw images to production AI
Four steps to transform your inspection data into automated defect detection. Each step builds on the last.
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.
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.
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.
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.
The result? AI-powered inspection at scale.
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
Ready to modernize your inspection workflow?
See how leading energy companies use Picsellia to detect defects faster and reduce inspection costs.
Common questions
How does Picsellia support computer vision for energy infrastructure inspection?
Picsellia lets energy and utilities teams build, deploy and monitor computer vision models that turn drone imagery into actionable inspection insights. It covers the full workflow, from centralizing inspection data and labeling defects to training detection models and deploying them in the field.
What energy use cases does Picsellia support?
In the energy sector, Picsellia supports infrastructure inspection (damaged insulators, corrosion, vegetation encroachment from drone imagery), predictive maintenance through thermal and visual analysis of transformers, turbines and grid components, security and surveillance of remote installations, and safety protocols such as PPE compliance. These workflows apply from transmission lines to solar farms.
What data sources can Picsellia handle for energy inspections?
Picsellia aggregates imagery from inspection drones, fixed substation cameras, thermal sensors and satellite imagery into a single searchable repository for energy teams. Assets are geo-tagged, metadata is extracted automatically, and AI-assisted annotation with expert review queues helps label damage types and severity levels at scale.
Can Picsellia run on-premise for energy companies, and who uses it?
Yes. For energy companies, Picsellia supports on-premise deployment that keeps sensitive infrastructure data within the network, air-gapped operation, role-based access and audit logging, and it can ship models to edge devices, drones or cloud endpoints with drift monitoring. The Picsellia energy page lists RTE among the teams using the platform.
Related reading
Safer Pipelines, Smarter Energy: Using Computer Vision for Pipeline Inspections
Make pipeline inspection more rigorous with Computer Vision. Learn more about how Computer Vision can help prevent disasters at the energy site.
Leveraging Energy Datasets: Transforming Infrastructure with Computer Vision
Explore how energy datasets drive efficiency and safety through computer vision solutions in the infrastructure sector.
Going beyond the Basics of Anomaly Detection in Computer Vision
Find out how anomalies in visual data can be detected using computer vision tools.