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What is iTwin Capture Modeler?

The iTwin Capture Modeler, developed by Bentley Systems, is a comprehensive desktop tool designed to generate engineering-ready reality data specifically for infrastructure projects. This versatile application empowers users to construct high-resolution 3D models, such as reality meshes, point clouds, and orthophotos, using standard images or LiDAR data, thus offering a precise digital environment crucial for design, construction, and operational tasks. Whether handling minor tasks or large-scale urban developments, the software features advanced tools like masks, water constraints, and retouching options to enhance the quality of reality data. It is available in both a standard version and an advanced iTwin Capture Modeler Center edition, the latter allowing for unlimited clustering to efficiently manage large projects. Additionally, it ensures seamless interoperability by accommodating a wide range of GIS formats, facilitating smooth integration into various workflows. Its extensive capabilities make the iTwin Capture Modeler an essential resource for industry professionals, enhancing productivity and accuracy in project execution. The robust features of this application are designed to meet the evolving needs of the infrastructure sector, further solidifying its position as a leading solution in the field.

What is ContextCapture?

Convert basic photographs and point cloud data into complex 3D models. The reality modeling technique entails capturing the physical characteristics of an infrastructure asset, creating an intricate representation, and maintaining it through regular surveys. Bentley's ContextCapture stands out as an advanced reality modeling tool that delivers a detailed digital depiction of the real world by generating a 3D reality mesh. This mesh is constructed from a multitude of triangles and image data, resulting in a comprehensive model that accurately reflects existing conditions. Every component within this digital structure can be automatically recognized and spatially linked, facilitating an immersive and user-friendly experience for navigating, locating, visualizing, and retrieving asset information. Reality meshes have diverse applications across multiple engineering, maintenance, and GIS workflows, providing crucial real-world context to guide decisions related to design, construction, and operational activities. The technology often employs overlapping aerial images collected by drones, supplemented by ground-level photos and, if required, enhanced with laser scans to ensure precision. Consequently, the combination of these techniques guarantees a meticulous and dependable digital representation of the surrounding physical space, which can significantly enhance project outcomes and decision-making processes. This integration of various data sources elevates the effectiveness of reality modeling in numerous fields.

Media

Media

Integrations Supported

Integrations Supported

MicroStation
Prevu3D
Skydio 3D Scan
SuperMap GIS

API Availability

API Availability

Pricing Information

$4,175 one-time payment

Pricing Information

Pricing not provided

Supported Platforms

Windows

Supported Platforms

SaaS

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

Bentley

Date Founded

1984

Company Location

United States

Company Website

www.bentley.com/software/itwin-capture-modeler/

Company Facts

Organization Name

Bentley Systems

Date Founded

1984

Company Location

United States

Company Website

www.bentley.com/en/products/brands/contextcapture

Categories and Features

Digital Twin

Not specified

Land Survey

Not specified

Photogrammetry

Not specified

Categories and Features

3D Modeling

Not specified

3D Scanning

Not specified

Drone Mapping

Not specified

Land Survey

Not specified

Photogrammetry

Not specified

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