Point-cloud perception and annotation for robotics, inspection and logistics.
Give machines spatial understanding, 3D point-cloud perception, annotation and navigation for robotics, automated inspection and logistics.
Why teams choose it
Spatial understanding
Perception in 3D, not just 2D frames.
Format-flexible
KITTI, Velodyne and common point-cloud formats.
Faster annotation
2D/3D switching cuts labeling time.
What's included
Point-cloud annotation
Seamless 2D/3D annotation with referential mapping.
Perception models
Detection and localization on point clouds.
Format interchange
Velodyne/KITTI compatibility via Datumaro.
How it works
01
Capture
Ingest point-cloud and reference imagery.
02
Annotate & train
Label in 2D/3D; train perception models.
03
Deploy
Run perception on-edge for the application.
What powers it
Powered by our 3D computer-vision engineering (the Vision & Localization Engine): Three.js point-cloud rendering, KITTI/Velodyne support and Datumaro format translation, proven for a global semiconductor leader.
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