3D Maskster

•

PointLearner

•

UUSB

•

3D Maskster • PointLearner • UUSB •

3D Maskster

  • It all begins with an idea. Maybe you want to launch a business. Maybe you want to turn a hobby into something more.

  • It all begins with an idea. Maybe you want to launch a business. Maybe you want to turn a hobby into something more.

PointLearner

  • It all begins with an idea. Maybe you want to launch a business. Maybe you want to turn a hobby into something more.

  • It all begins with an idea. Maybe you want to launch a business. Maybe you want to turn a hobby into something more.

UUSB

  • It all begins with an idea. Maybe you want to launch a business. Maybe you want to turn a hobby into something more.

  • It all begins with an idea. Maybe you want to launch a business. Maybe you want to turn a hobby into something more.

3D Maskster

Efficient Point Cloud Labeling Tool

3D Maskster* is an AI-assisted point cloud labeling tool that enables users to perform efficient annotation on data points with self-defined classes. 3D Maskster performs fast unsupervised segmentation on the point clouds or user-captured 2D scene, facilitating users undergoing pre-labeling and re-labeling. Users can perform labeling on the point cloud segments or the 2D segments instead of going after point by point. Our tool also provides segment merge, label fusion, and data cleaning before users export the resulting point clouds for AI training. 

*Patent Application Pending

PointLearner

PointLearner is the core LiDARist’s standardized deep learning solution with a specific focus on point clouds collected by mobile and terrestrial lidar systems for on-road and underground utilities environments. PointLearner has been trained with intensive well-labled data to predict classes of new coming point clouds. PointLearner can be deployed through Amazon AWS platform or standalone virtual machine for our customers’ domain driven software tool. 

UUSB

Underground Utilities Scan-to-BIM

UUSB* is a tailor-made point cloud analytical solution to convert semantically segmented lidar scans into digital 3D models. UUSB is able to recognize cylindrical shape of point clouds and optimize corresponding pipe fittings. Other UU appurtenances can be placed with a pre-defined BIM object library. All the pipes and appurtenances are tightly coupled with a set of topological rules and fine-adjustment. Users can export the digital 3D models in open-source BIM format.

*Patent Application Pending