d.ASH Xplorer
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Описание

d.ASH Xplorer is cutting-edge 3D reconstruction software designed for large-scale scans, ideal for architecture and engineering. This powerful tool integrates SLAM data, point clouds, and high-resolution images to deliver comprehensive analysis, including object identification and segmentation. Featuring advanced search functionality, d.ASH Xplorer enables rapid and efficient object location, saving time and reducing manual effort. Transform complex datasets into actionable insights with d.ASH Xplorer.

 

Key Features:

  • Scan2BIM: Precisely compare 3D point cloud scans with Building Information Modelling (BIM) data to detect changes and ensure projects remain aligned with design specifications.
  • Scan2Segment: Conduct detailed object segmentation across up to 40 classes, enhancing project management and decision-making.
  • Scan2Twin: Create 3D neural reconstructions from point clouds for precise metric measurements and a deeper insight into spatial dynamics.

 

Autodesk® Integrations:

Autodesk Construction Cloud®: 3-legged authentication is used to connect d.ASH Xplorer to user's Autodesk Construction Cloud. This allows users to access, download and upload any files to their ACC within d.ASH Xplorer.

Autodesk® Revit® File Loading: 2-legged authentication is utilized when a Revit file is imported into d.ASH Xplorer to parse the BIM data. After which, a BIM database file (*.dbim) is generated and can be used for Scan2BIM in d.ASH Xplorer 

Описание пробной версии

This is d.ASH Xplorer Trial Version which provides users access to d.ASH Xplorer features. However, file export is disabled. To export files, please purchase license from dConstruct.

Сведения об этой версии

Версия 1.0.0, 08.10.2024
We are delighted to announce the first public release of d.ASH Xplorer. This version features a sophisticated SLAM processing algorithm that produces detailed, coloured 3D point clouds. Additionally, d.ASH Xplorer supports Scan-to-BIM Comparison, Scan-to-Segment Identification, and Scan-to-Twin Generation.


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