Point Cloud Classification
Vecten Desktop classifies point cloud blocks through three dedicated modules:
- VClassify, semantic class separation
- VGround, ground & terrain extraction
- VUtilities, utility corridor assets
Local LiDAR Point Cloud Classification
Classify large LiDAR point cloud blocks locally, in minutes.
Vecten Desktop classifies LAS, LAZ, and COPC point cloud blocks locally with proprietary AI models, then publishes classified outputs with review support for production teams.
- Review-ready outputs
- No upload required
- Per-seat licences, not per-GB
Supported sensors
Key features for production point cloud classification with Vecten Desktop
Local Processing
Run classification in your local environment so sensitive LiDAR data stays under your organization's control, without cloud upload required for inference.
Coming soon
Quality Review
Vecten Desktop packages each classification with structured outputs, review layers, and attributes so production teams can check results before handoff.
How it works
Point clouds go in, classified and review-ready outputs come out. Your data stays under your control. Classification runs on hardware you own.
Point clouds
Raw LiDAR, LAS / LAZ / COPC
Vecten Desktop
Classifies locally on your desktop
3 modules
VClassify
VGround
VUtilities
Classified LiDAR
Ground, vegetation, buildings, utilities
Review-ready
Reviewable outputs for production review
Get started today
Desktop software for local AI point cloud classification. Run a block, review the outputs, hand them off.
The same engine, with scale beyond a single workstation, is in the works. Request early access to hear about it first.
Evaluate Vecten Desktop with your team.
Tell us about your LiDAR inputs, required classes, current toolchain, and review constraints.