61% Faster Defect Reviews, Smarter Maintenance Decisions
Discover how Boralex, one of France’s largest operators, leveraged SkyVisor’s Artificial Intelligence models to make blades anomaly detection faster and more reliable.
Anomalies analyzed
Classifying accuracy
Time reduced on defect detection
Per inspection analysis
Uncover hidden blade defects, reduce manual review, and speed up maintenance decisions. Download the case study now!
Why AI-driven blade anomaly detection is critical for streamlining large-scale inspection data analysis
How Boralex leveraged SkyVisor’s AI models to make independent assessments faster and more efficient
Key advantages of in-housing using AI analytics and drones
Proven strategies and methods for smarter predictive maintenance
Take a closer look at our AI pipeline
This stage involves several pre-processing steps, taking the most of computer vision algorithms and machine learning segmenters to prepare the data
Get the final results on the webapp, analyze the defects and take next operation and maintenance decisions based on the results
Based on contextual variables collected during the automatic flight, special algorithm fine tune the results to make sure it meets your needs
At the heart of the AI defect detection pipeline are our custom built detectors that power up the process thanks to state of the art machine learning process