AI-powered feature extraction from a point cloud, classifying buildings and power lines using iTwin Capture Manage & Extract

iTwin Capture Manage & Extract

Reality data management and feature extraction software

BENEFITS

Unlock the value of your reality data

Manage and analyze reality data at any scale and turn massive datasets into actionable engineering insights.
LIDAR point cloud visualization in iTwin Capture Manage & Extract, displaying vertical height measurements and spatial analysis on concrete bridge piers and overhead support structures.
  • Improve decisions with AI-powered insights

    Use powerful manual, semi-automated, and AI tools for advanced analysis like clash detection, enabling faster and better engineering decisions. 

  • Boost collaboration with centralized reality data

    Unify all your reality data in one place for efficient team collaboration. Connect to iTwin Capture Cloud services to share reality data and grant access to all project stakeholders. 

  • Reduce rework costly field visits

    Accurately verify and adjust reality data from the desktop. Identify issues early to reduce costly rework and minimize return trips to the site. 

PRICING OPTIONS

Exclusive pricing options

iTwin Capture WorkSuite

On-premises solutions to manage, model and analyze reality data in a secure environment. Includes Twin Capture Engine, iTwin Capture Manage & Extract, and Descartes.

Starting at

$5,000.00 USD

12-month Virtuoso subscription

Includes 1 license and 2 Keys for training or services

  • Process high-fidelity 3D reality meshes and photorealistic Gaussian splats
  • Manage large scale reality data projects, imagery, and LiDAR point clouds
  • Analyze reality data using powerful generic and custom-built AI models
  • Automate feature extractions, profiles, cross-sections, and contour lines
  • Combine traditional GIS data and mobile mapping into a single environment

More details

Data management and integration 

  • Unify massive datasets: point clouds, imagery, and meshes. 
  • Combine reality data with traditional GIS and CAD resources. 
  • Work from a centralized database for team-wide consistency. 
  • Manage large-scale reality data for digital twin workflows.
     

Analysis and feature extraction 

  • Leverage AI for semi- and fully automated feature extraction. 
  • Perform advanced analysis like clearance and clash detection. 
  • Extract terrain, classify assets, and identify changes. 
  • Identify changes across large reality datasets. 
     

Collaboration and production 

  • Enable multiple operators to work concurrently on a project. 
  • Manage production units and workspaces for team efficiency. 
  • Centralized reality data management to maintain a single source of truth across teams. 
     

Share reality data 

  • Transfer point clouds, images or mapping resources with unmatched performance. 
  • Consume cloud stored BIM and Reality Data to perform advanced analysis operation. 
  • Support advanced analysis workflows.

Minimum System Requirements: 

  • 16 GB RAM
  • Intel Core i7 (8 cores) or equivalent CPU
  • NVIDIA RTX 3070 GPU
  • Microsoft Windows 11 (x64)
  • Microsoft Windows Server 2022 (x64) 

Recommended System Requirements:

  • 64 GB of RAM
  • Intel Core i9 (8 cores), equivalent or higher CPU
  • NVIDIA GeForce RTX 4080 or higher
  • Microsoft Windows 11 (x64)
  • Microsoft Windows Server 2022 (x64) 

USER STORIES

Real stories. Real results.

Benesch saves 75% in fieldwork with AI

Benesch automated pavement imagery analysis using iTwin Capture, identifying and classifying cracks to save engineering hours and reduce manual fieldwork.

Aerial view of a runway with cracks highlighted in blue, identified by AI/ML after a drone flight; accompanying text describes the detection process.

FAQS

Find answers

It is designed for data managers who need to prepare and organize reality data, as well as feature extractors who turn that data into valuable GIS assets and insights.

The software enables advanced analysis such as bridge clearance verification, roadway rutting detection, and clash detection between reality data and design models.

It supports a wide range of data, including images, point clouds, meshes, and GIS data from any system. 

Yes, its centralized database is designed for teamwork, allowing engineers to set up production units.

AI feature extraction is the process of using artificial intelligence to automatically identify and classify features of interest from reality data, such as point clouds or images. Instead of manually searching through massive datasets, you can use AI-powered tools to automatically detect and extract specific assets. 

RESOURCES

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