Our Solutions

🌳 ForestSense

AiDroneTree

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.

AiDroneTree — Forest Inventory & Tree Detection

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.

↓ Download Demo — Tree Inventory

Target Customers

Drone service providers Timber & forestry companies Urban planners & landscape architects Carbon offset firms Municipalities & urban forestry US Forest Service

AiDroneTree — Utility Vegetation Management

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.

↓ Download Demo — UVM

Target Customers

Electric utility companies UVM contractors Transmission & distribution operators Environmental & engineering consultants Government energy infrastructure agencies

TreeNet — The Engine Behind AiDroneTree

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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Deep Learning Detection

Custom neural architecture trained on thousands of LiDAR scans across diverse forest types.

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Individual Tree Analytics

Per-tree height, crown area, biomass, and carbon stock at landscape scale.

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UAV LiDAR Input

Processes drone-based point cloud data directly with no manual preprocessing required.

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Scalable Output

From single field plots to entire national forest inventories.

AiDroneTree

Ready to deploy AiDroneTree?