Solutions for Residential Building
Automated Scan2BIM via 3D laser point
Delivering centimeter-accurate scans to smart maintenance for residential buildings, driving safety and digital transformation
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2D Design
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Segmentation
Point Cloud Processing
Semantic Modeling
Using deep neural networks to perform high-precision semantic segmentation of residential building point clouds and images, automatically identifying key components such as walls, doors and windows, stairs, and roofs.
Combined with rule-based post-processing to optimize the results, this approach provides comprehensive and accurate semantic data support for geometric reconstruction and functional analysis.
Deep neural networks enable high-precision semantic segmentation of residential point clouds and images,
automatically identifying walls, doors, windows, stairs, and roofs with rule-based post-processing
to deliver comprehensive, accurate semantic data for geometric reconstruction and functional analysis.
Neural networks classify room functions while detecting performance risks (lighting/CFD/energy), producing BIM-integrated reports for data-driven facility management.
Precision Modeling
Risk Control
Green Enablement
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