Transforming transmission line inspection with real-time AI detection, thermal analytics, and predictive insights.
From manual inspection to intelligent infrastructure monitoring at scale.
Azerenerji operates a large-scale transmission network across diverse and challenging environments. Ensuring reliability across this infrastructure requires continuous inspection, rapid defect identification, and precise maintenance decisions.
Spark AI partnered with Azerenerji to build an AI-powered inspection system that transforms how transmission assets are monitored.
Inspections required physical tower access.
Field operations occurred in hazardous conditions.
Critical faults were identified too late for optimal intervention.
No centralized intelligence view across assets and regions.
Drone Capture → AI Detection → Thermal Analysis → Risk Scoring → Reporting
Towers, insulators, connectors, and line hardware.
Corrosion, broken components, flashover marks, and thermal anomalies.
Model performance improved significantly using real-world inspection data.
Spark AI enables energy providers to move from inspection to intelligence — improving reliability, safety, and operational efficiency.
“A shift from reactive maintenance to proactive asset management across critical transmission infrastructure.”
Spark AI enables energy providers to move from inspection to intelligence — improving reliability, safety, and operational efficiency.
