Tags :reality-capture

Leica Cyclone REGISTER 360 PLUS v2026.1: Laser Scanning Registration Software Cyclone REGISTER 360 PLUS v2026.1 is the latest service release of Leica Geosystems’ point cloud registration software, focusing on stability enhancements and improved workflows for managing survey data, GeoTags, and panoramic imagery . This version includes several key updates that refine the user experience and expand functionality. Key New Features & Enhancements in v2026.1 1. Enhanced GeoTag Functionality The new GeoTag system provides greater precision and context for spatial data . Users can now assign GeoTags to Predefined Categories (e.g., Fire Safety Equipment) with configurable value lists, or use Free Text Categories for custom information like “Next inspection date” . Multiple assets, including files, links, and multimedia, can now be...

Leica Cyclone 3DR v2026: Advanced Point Cloud Processing Software Cyclone 3DR v2026 is Leica Geosystems’ software for point cloud processing, 3D modeling, and analysis. The 2026 release includes multiple minor updates focused on stability and bug fixes. Version 2026 Release Cycle The 2026 series builds on the 2025.2.x and 2026.0.x releases, with users under active maintenance able to access them without a new license. 2026.1 The latest release, announced June 2026, introduces Scan to Steel workflows to help users move faster from raw data to final deliverables. 2026.0.2 (April 2026) Bug Fixes: Fixed LandXML import from Captivate 912; fixed object corruption in Object Explorer after copy-paste. Improvements: Planar Contours command now scriptable (SCloud.ExtractPlanarContours). 2026.0.1 (March 2026) Bug Fixes: Added option...

Leica Cyclone 3DR v2026.0.2.49073: Advanced Point Cloud & Surveying Software Cyclone 3DR 2026.0.2 is the latest service release of Leica Geosystems’ advanced point cloud processing and analysis software for surveying, engineering, and 3D modeling applications . It delivers core tools for registration, analysis, and model creation from laser scan data. Key Features Point Cloud Processing Registration: Align and merge scans from multiple setups Classification: Automate point classification for terrain, vegetation, infrastructure Cleanup & Filtering: Remove noise and outliers Analysis & Modeling Volumetric Analysis: Calculate volumes for stockpiles, excavations, cut/fill Feature Extraction: Create 2D drawings and 3D models from point clouds Deformation Monitoring: Compare scans over time for structural movement Data Integration Sensor Support: Leica scanners (RTC360, BLK360, P-Series), third-party LiDAR,...

NUBIGON Pro v7.4.1 | 3D Point Cloud Management & Visualization Platform NUBIGON Pro v7.4.1 is a powerful software solution for managing, analyzing, and visualizing massive 3D point cloud datasets from LiDAR, photogrammetry, and other reality capture sources. It provides engineers, surveyors, and GIS professionals with tools to efficiently extract actionable insights from complex spatial data. Core Functionality Overview: High-Performance Point Cloud Engine: Handles and renders billions of points with real-time navigation, advanced filtering, and classification tools for efficient data management and cleanup. Advanced Measurement & Analysis: Performs accurate distance, area, volume, and cross-sectional measurements directly on the point cloud, with tools for terrain modeling, cut/fill analysis, and feature extraction. Seamless Integration & Output: Supports import/export of major point cloud and...

Faro Scene 2025.2.1 | Professional 3D Laser Scan Data Processing Software Faro Scene 2025.2.1 is the premier software solution for processing, registering, and analyzing 3D laser scan data captured by FARO and other major scanners. It provides a comprehensive workflow for converting raw point clouds into accurate, actionable deliverables for AEC, forensic, and industrial applications. Core Functionality Overview: Automated Scan Registration & Processing: Streamlines the import, organization, and highly accurate registration of thousands of scans using visual targets, spheres, and cloud-to-cloud methods. Advanced Point Cloud Management & Mesh Creation: Powerful tools for cleaning, filtering, and classifying point clouds, alongside robust surface and mesh generation capabilities for creating watertight 3D models. Integrated Analysis & High-Quality Output: Perform measurements, cross-sections, clash detection,...

Leica CloudWorx 2025.2: The Direct Link from Reality Capture to CAD/BIM Leica CloudWorx 2025.2 is a suite of powerful plugins that seamlessly integrates massive 3D laser scan point cloud data directly into popular CAD and BIM modeling environments like Autodesk AutoCAD, Revit, and Bentley MicroStation. It eliminates the need for separate point cloud processing software, allowing engineers, architects, and drafters to work with high-density, real-world measurements as an intelligent reference directly within their native design platform. Core Function: Point Clouds as a Native Reference in Design Software Its primary function is to load, visualize, and enable precise interaction with billions of scan points inside the CAD/BIM software interface. Users can snap to points, take measurements, and create new geometry directly...

Trimble RealWorks 2025.11: The Central Hub for Reality Capture Data Trimble RealWorks 2025.11 is a comprehensive desktop software solution for processing, analyzing, and managing large datasets from 3D laser scanners, mobile mapping systems, and UAV-based photogrammetry. It is the essential tool for surveyors, engineers, and BIM managers to transform raw scan data into intelligent, actionable 2D and 3D deliverables. Core Function: From Raw Scans to Actionable Models The software serves as a central platform to import, clean, align (register), and analyze massive point clouds, enabling users to extract precise measurements, create detailed surface models, and generate deliverables for design, construction, and analysis. Key Functions: Point Cloud Registration & Management: Automatically aligns multiple scan positions into a unified, geo-referenced dataset and...