Detect Defects Using AI-Trained Computer Vision Models
We optimize visual inspection of static equipment using computer vision models trained to detect defects in real-time. We use artificial intelligence to process images captured by drones, fixed cameras, or portable devices, identifying anomalies such as corrosion, cracks, and coating failures with high precision.
Our solution improves inspection efficiency by reducing dependence on manual evaluations, enabling early and systematic defect detection. We adapt the models to the specific conditions of each installation, integrating automatic detection with risk-based maintenance strategies.
Anomaly Detection Using AI
