AI-Powered Utility Vegetation Management
AiDroneTree UVM processes UAV LiDAR data to detect power line infrastructure, identify individual trees in utility corridors, and flag encroachment risks. Each tree is assigned full biometric and spatial parameters to support maintenance planning and regulatory reporting.
Completed Projects
UVM Demo — Town of Fayetteville
A demonstration project in the Town of Fayetteville, Syracuse, showcasing AiDroneTree UVM's ability to process UAV LiDAR data over a municipal distribution corridor. The system automatically detected power line geometry, identified all trees within the right-of-way, and flagged high-risk encroachment candidates with full parameter outputs for each tree.
UVM — Finland
An international Utility Vegetation Management project in Finland, demonstrating AiDroneTree UVM's capability across northern European forest types and utility infrastructure. The system detected power line corridors, identified individual trees within right-of-way zones, flagged encroachment risks, and generated full per-tree parameter outputs.
UVM — Connecticut
A Utility Vegetation Management project in Connecticut applying AiDroneTree UVM to detect and analyze trees within utility corridors. The pipeline processed UAV LiDAR data to identify individual trees, assess encroachment risk to overhead lines, and deliver comprehensive per-tree parameter reports for maintenance prioritization.
