Product Portfolio
A complete software (desktop, server or cloud) suite to Manage, Analyze and Share Reality Data.
With the iTwin Capture (also known as Orbit) solutions, one can efficiently manage, analyze, and share massive amounts of reality data of any size from any 3D Mapping system, including point cloud, imagery, textured mesh, and traditional GIS resources, for use with reality modeling and digital twins.
Efficiently import, manage, and archive your massive amounts of imagery, point cloud, and 3D mapping data, optimized for web streaming and fast extraction, in an easy-accessible catalog. Optimize your team's reality modeling workflow and save time with advanced analysis tools to complete measurements, extract features, and perform advanced analysis using easy-to-understand, guided workflows.
Import captured data from any mapping system: import processed outputs from any reality data capturing system (handheld scanners, drone cameras, backpack LiDAR, oblique airborne, mobile mapping cars), any brand and any capturing type.
Manage, catalog and archive: organize your reality data in a single view of truth. Easily view, merge, clean, correct and archive all imported data in a user-friendly and overviewing data catalog.
Combine and merge any data type: fuse all captured reality data in real-time such as LiDAR and photogrammetric processed point clouds, reality meshes, 360 degrees or oblique/nadir focused imagery.
Optimize and clean-up: efficiently clean LiDAR point cloud data, remove unwanted elements and noise, blur/erase and optimize image quality while also analyzing and reporting positional accuracy.
Overlay any data in real-time: fuse in real-time various reality data resources of any size from any system into a single view of truth
View and navigate in full 3D: view and navigate through your massive amounts of LiDAR, meshes, imagery, and other reality data. Automatically play through and overlay with any 2D and 3D GIS/CAD resource.
Automatically recognize points, surfaces, ridges, and corners: detect underlying surfaces, snap to the nearest point, and interpolate between points using smart hovering capabilities.
Measure your mapping data and imagery: accurately measure 2D and 3D coordinates from all your mapping resources. Apply assisted and automated measurements of points, distances, polylines, catenaries, boxes, and areas to extract and segment the assets of your choice.
Automatically extract features: efficiently extract road and rail elements such as poles, traffic signs, trees, curbs, guard rails, crosswalks, walls, fences, or any other type element with semi- and fully automated detection capabilities.
Automate feature extraction workflow: improve your workflows and generate faster feature extractions with assisted feature and AI/ML-based extraction management capabilities to complete a full inventory of your project environment.
Product Mission of iTwin Capture/Orbit Publisher [SERVER/CLOUD]
Improve productivity and collaboration by making your managed and extracted data available to the team from your local server or the cloud. Publish (online) and define a single view of truth of the unlimited volumes of processed images, meshes, point clouds and extracted assets right away. This creates a unique ‘plug-and-play’ solution to integrate LiDAR, imagery, textured meshes, and GIS resource into you and your team's workflows.
Manage online sharing: aggregate different reality data resources, base maps, and other reference resources into ready‐to‐use publications using a user-friendly console.
Set publication properties: manage user credentials and publish content in your software environment. Easily view login data, configure web pages, and generate direct web links.
Customize publication: address the exact needs of your users by adding metadata, configuring the view compositions and resources presentation, and specifying available features.
View, measure and extract: view shared data in a web browser to quickly measure, attribute, and extract points, lines, areas, and download the results for export.
Analyze over time: combine and compare mapping data over time, display time lapses, slice through data and annotate the differences to collaborate.
Share views among users: save personal views and results and share them with stakeholders to collaborate based on online shared reality data.