For point cloud and triangle mesh processing
 

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» Overview
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» VRMesh AI
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» VRMesh Studio
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» VRMesh Reverse
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» VRMesh Survey
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» VRMesh Library
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VRMesh Library

VRMesh establishes a high-performance platform designed to accelerate the development of physical AI, humanoid robotics, and digital twin applications.

» Point Cloud to Mesh

For physical AI to advance, it's crucial to accurately convert point clouds into meshes. This process is key for effective mesh segmentation. Edge-based mesh segmentation is more precise than point cloud-based methods, which simplifies the way you define and manipulate geometric properties. VRMesh is a leading solution for creating highly accurate meshes from point clouds, outperforming other options on the market.

 
Convert point clouds to accurate meshes
 

» 3D Segmentation

VRMesh pioneers a new approach to edge-based segmentation, a critical 3D perception capability that empowers physical AI systems to interact intelligently and safely within the complex real world. This technology is vital for a variety of tasks, such as robotic grasping and manipulation.

 
 
 

* VRMesh library is written in C++, compiled as DLL files, and compatible with Microsoft Windows. The input and output (I/O) methods are left open to your application.

 
 
 
 
 
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VRMesh AI
VRMesh Studio
VRMesh Reverse
VRMesh Survey
VRMesh Library
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Physical AI
Construction
Mining
Energy/Utilities
Land Surveying
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