Vegetation Management Intelligence

Helping electric utilities to identify current encroachment,  pinpoint future risk and optimize trimming schedules

20treeAI - End-to-end Vegetation Management

End-to-end Vegetation Management

20tree.ai helps electric utilities identify and mitigate risk by monitoring vegetation around power lines. Our actionable vegetation management solution allows electric utilities to improve the safety and reliability of their network.

The 20tree.ai platform is used by utilities to identify risk hotspots on and around the Right of Way (ROW), plan trimming cycles and verify vegetation maintenance completion. This instantly reduces the risks of power outages, asset damage, and other economical losses, as well as environmental and safety hazards from storms or wildfires.

Powered by AI

Through state of the art AI & Deep Learning techniques, the 20tree.ai platform combines satellite data, weather data and machine learning to:
  • Improve efficiency by optimizing short and long term trimming schedules
  • Cut costs through efficient and automated line inspections of the full network
  • Analyze high risk areas  and detect anomalies in utility corridors
  • Highly customizable reporting and audit logs
20treeAI - Vegetation Management integration with contractors

Seamless Integration

Our proprietary platform integrates seamlessly with your existing system, backend or support services via a fully customizable API that delivers the insights you need 24/7. Have a very specific need? We also offer developer support and technical consultancy for bespoke solutions.

Programmable data layers

A rich user interface allows you to create your own custom dashboard to fully satisfy your specific needs:
  1. Drag & drop Add external data to the dashboard in seconds.
  2. Visualize Understand and act by analysing the insights.
  3. Calculate Extract new insights on the fly.
  4. Combine Add additional data to the dashboard in seconds.
  5. Share Share custom analysis and visualisations with colleagues and partners. 
programmable

Data features

Risk identification layer

Based on the vegetation data layers combined with wire zone and border zone, a risk identification is provided. Fall-in risk and grow-in risks are both identified.

Prioritization layer

Prioritization of the risk areas based on the analysis risk level based on estimated likelihood and potential consequence. Priorities are color coded and can be filtered.

Tree detection

Tree species

Tree height

Canopy segmentation

Proximity to power line and wire zone

Storm damage

Fire risks

Verification of trimming

Data

Satellite data

20tree.ai combines a variety of data types, including very high-resolution optical satellite imagery, SAR and weather data. By combining data types with different spatial, spectral and temporal resolution, 20tree.ai extracts reliable and actionable vegetation and risk intelligence. Enabling informed and effective vegetation management for utility corridors.

Optional additional data

Additional aerial images, drone data and LiDAR data captured by the client or a third party, can be added as additional input layers. By fusing all available data sources, 20tree.ai provide electric utilities an integrated end-to-end solution for vegetation management.

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