Automotive Manufacture
GridOS® Visual Intelligence

For Vegetation Management and More

Vegetation management. Wildfire mitigation. Asset inspections. Damage assessments. Network modeling. Compliance and reporting. Visual Intelligence does it all. Leverage its GIS-powered, AI-augmented workflow to visualize – and optimize – the physical state of the grid.

GridOS® Visual Intelligence

Overview

Drive grid resilience across the board

Global utilities spend millions of dollars per year on vegetation management and asset inspection programs to minimize outages, increase compliance, improve safety, and reduce the risk of catastrophic events such as wildfires. 

Driven by AI, GE Vernova’s GridOS Visual Intelligence platform optimizes these programs and processes and provides a holistic picture of the grid. Its advanced workflow helps decrease the costs and complexity associated with traditional inspection and trimming strategies, while improving risk management and productivity.

Visual Intelligence

Learn how Visual Intelligence improves vegetation management, asset inspections, and more.

GE Vernova
GE Vernova

Harness a Risk-based Trimming Strategy

Visual Intelligence’s risk-based approach is more effective and efficient than cycle-based trimming. Its AI-driven analytics overlays vegetation scans with network maps to reveal the precise locations where trimming is needed. Ensure the right crew does the right job, at the right time – every time.

Seamless asset inspection 

Visual Intelligence is more than just a vegetation management solution. Its AI engine can also analyze images of physical assets and alert operators to any signs of damage or deterioration. From sagging poles to excessive corrosion to normal wear-and-tear, Visual Intelligence is an invaluable solution for ensuring optimal asset health and performance. 

The traditional manual process of vegetation management is very inefficient compared with a digitally advanced image-based approach to vegetation management. In addition to significantly lowering operating and maintenance cost, improved safety and compliance are important metrics that can be achieved when implementing an advanced image-based vegetation management system.

John Villali

Senior Research Director at IDC Energy Insights 
Source: IDC TechBrief: Image based Vegetation Management, Q3 2023, J.Villali

Explore the benefits of Visual Intelligence

Reduced Costs 

Lower operational costs by increasing trimming productivity and efficiency with Visual Intelligence’s precise vegetation insights. 

Fewer Weather-related Damages

Protect network infrastructure by trusting Visual Intelligence to identify exactly what, where, and when vegetation must be trimmed. 

Flexible Analysis 

No need for multiple analysis systems – Visual Intelligence can identify risk-prone assets from LiDAR scans, satellite imagery, even standard camera photos.

Seamless Scalability

Start small and expand over time, or roll out at scale. Visual Intelligence scales with any size operation, with the flexibility to adapt to changing needs over time. 

Better Quality Assurance

Leverage Visual Intelligence before and after trimming operations to verify work was done properly – without ever leaving the office!

Fewer Asset Failures

Use Visual Intelligence’s AI-powered image recognition capabilities to identify and act on any warning signs of asset wear and tear long before a breakdown occurs.

Learn more about Visual Intelligence 

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Mitigate risk of damage with Visual Intelligence

Learn Visual Intelligence’s place in a two-prong disruption mitigation plan.

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Tackling disruptions from all angles

See GE Vernova's full scope of disruption planning and management solutions.

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