AI Computer Vision
Combining reality capture with computer vision and deep neural networks, this model is capable of autonomously identify visual anomalies in images, such as corrosion, pitting, and potential discontinuities. The output is to have all the critical anomalies mapped and classified, with components, areas, locations and prioritizations.
AI Corrosion Degradation Prediction
Using the proprietary model of Corrosion Degradation State (CDS), Vidya predicts the corrosion degradation state of the asset in long-term, using lifecycle data such as inspection and maintenance to train the model for each element.
AI-driven Predictive Maintenance
This AI capability uses the available data from different systems, sensors and other sources, and process it through knowledge model, machine learning and other additional predictive models. Therefore, delivering it in a dashboard with alert triggering.
AI Budget Forecaster for Maintenance planning
This multi-objective optimization model simulates different budget scenarios by crossing available information such as budget, PoB (People on Board), Corrosion Degradation State, and Risk Models, to deliver the optimal resource allocation for maintenance activities. In other words, It offers you different scenarios on how the level of integrity will perform at different resource applications.
Integrity notes automation AI
This model automates the classification of thousands of integrity service notes, minimizing:
- Maintenance planning man hour
- Unexpected changes to work plans
AI Plugins
Vidya platform architecture also allows you to integrate other AI models or AI services you already have, delivering:
- Enhanced functionality
- Personalized experiences
- Data-Driven Insights
