Analytics
Avitas Systems provides advanced analytics that incorporate computer vision, machine learning, and physics-based modeling.
3D Modeling
3D asset representation for accurate data mapping and context for analytics:
- Photo-realistic models automatically generated from RGB and IR images
- Point cloud models from LiDAR scans
3D Understanding
Automated analysis of 3D data to extract findings, including encroaching vegetation
Deep Learning Image/Video Understanding
Using deep learning techniques such as CNNs, LSTMs, GANs for classification of objects and defects in multi-modal images and videos, as well as:
- Abnormal heat transfer rates in IR video to detect indicators of corrosion under insulation
- Change in appearance of an asset/component over time as observed in recurring inspection images
- Detection of gas plumes and sizes, oil leaks and sizes, heat spikes
4D Asset Monitoring
Time series data extraction from recurring external visual inspections of the same asset
- Use computer vision techniques to associate image and video findings back to the asset 3D model
- Decompose 3D asset models using 3D segmentation techniques as needed to match the asset hierarchy for accurate cataloging findings over time
Predictive Modeling Using Hybrid Techniques
Predicting outcomes using advanced data-driven models, combining machine learning with subject matter expertise for physics-based feature engineering:
- Predicting corrosion under insulation in pipelines and plants
- Predicting pitting corrosion in pipelines
- Predicting unplanned shutdowns for plant operations
Learn more about our bespoke cloud-based platform that supports the full end-to-end inspection management process
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