VRMesh Overview

Overview

VRMesh provides an end-to-end 3D data processing workflow, featuring automated point cloud classification, high-quality mesh generation, advanced edge-based segmentation, and multi-layer 3D mesh labeling. These comprehensive capabilities position VRMesh as a powerful solution for industries such as physical AI, construction, mining, utilities, land surveying, architecture, and beyond.

VRMesh AI:
It is a purpose-built solution for humanoid robotics and digital twin development, delivering production-ready AI training data at scale.

VRMesh Studio:
It covers point cloud classification and point cloud to mesh conversion, transforming raw point cloud data into high-quality triangular meshes and enhancing productivity for AEC professionals.

VRMesh Reverse:
It creates accurate meshes using advanced technology to represent original objects in great detail, and also includes a comprehensive set of tools for mesh repair and editing.

VRMesh Survey:
It classifies point clouds generated from LiDAR and UAV images, facilitating the automatic extraction of building footprints, powerlines, poles, tree crowns, railways, curbs, and breaklines with remarkable precision.

Segmentation Module

Segmentation on meshes, point clouds, and images

Edge and corner detection

3D Data Labeling

Multi-layer 3D mesh labeling

Bounding boxes annotation for autonomous driving

Point Cloud to Mesh

Create an accurate mesh

Create a mesh for visualizing large-volume scans

Mesh Repair & Editing

Seam gaps, stitch boundaries, remove inside parts to create a clean surface mesh

Decimation, smooth, offset, refinement, Boolean, etc.

Point Cloud Classification

Classify vegetation, building roofs, and ground points in LiDAR data or from UAV images

Work well under extreme variations in terrain

Feature Extraction

Extract building footprints, powerlines, poles, tree crowns, and curbs from point clouds automatically

Extract a line along a ridge, railway, road markings

Construction Module

Detect lines, pipes, walls, floor/ceiling in one click

Fit curbs, edges, profiles to point clouds

Registration

Align a CAD model to point clouds

Global registration working on unstructured points

Inspection & Measurement

Deliver accurate inspections between digital reference models

Measure deviation, slop, volume, area, distance, etc.

File Formats:

Import: e57, las, laz, ptx, pts, asc, stl, obj, dxf, shp, ply, zfs, rdbx, wrl, csv, rcp, iges, ifc, landxml, json and npz

Export: las, laz, pts, asc, iges, stl, obj, dxf, fbx, shp, wrl, ply, csv, x3d, pdf, rcp, landxml, nwc, gltf, json and npz

Data Handling:

No limit to the size of point clouds

Support batch processing of multiple files