AI-powered software for individual tree detection and forest inventory using UAV LiDAR data.
An AI-based software for individual tree detection and forest inventory using UAV LiDAR data. AiDroneTree transforms drone-based LiDAR and imagery into detailed per-tree analytics. Powered by TreeNet — our proprietary deep learning engine under provisional patent through the SUNY Research Foundation.
Measures height, crown area, biomass, and carbon stock for every individual tree detected from UAV LiDAR point clouds. Designed for forestry companies, carbon offset programs, urban planners, and government agencies managing large forested areas.
Automatically detects and measures individual trees near utility corridors — providing accurate estimates of tree height, crown dimensions, proximity to power lines, and potential vegetation encroachment risks across large service territories.
TreeNet is ZaminSense's proprietary deep learning architecture for individual tree detection from UAV LiDAR data. Currently under provisional patent through the SUNY Research Foundation.
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