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What is PointCab Origins?

PointCab Origins is a comprehensive tool designed for analyzing point cloud data from multiple laser scanning devices, offering seamless integration with all CAD and BIM platforms. It simplifies the entire process, from the registration of point clouds to the creation of vector lines and the transfer of results into your CAD system, thereby enhancing workflow efficiency. The software automatically generates front, side, and top views (orthophotos) from point cloud information, making it accessible to users of all skill levels. With just a few clicks, users can quickly create floor plans, sections, and measure areas, distances, and volumes, even those who may not have extensive experience with point clouds. Its user-friendly interface is further supported by brief tutorials lasting just two minutes, enabling swift onboarding. PointCab Origins is adaptable to data collected via drones, terrestrial scanning, or SLAM laser scanners, showcasing its ability to handle a range of data types. Moreover, merging various point clouds is a simple process, adding to its flexibility. The software also includes sophisticated features tailored to meet intricate requirements and diverse scenarios, positioning it as an excellent choice for industry professionals seeking a robust solution. Ultimately, PointCab Origins not only enhances productivity but also empowers users to confidently explore the potential of point cloud data.

What is Emesent Aura?

Emesent Aura presents a robust platform designed for the processing and visualization of scans, significantly improving the experience for Hovermap users as they interpret point clouds, which results in faster insights and better decision-making. The latest version of Aura introduces a user-friendly way to incorporate visual aspects into point clouds through panoramic 360° colorization, compatible with diverse capture techniques such as handheld devices, backpacks, vehicles, and drones. Moreover, the workflows have been optimized, enabling users to colorize point clouds while simultaneously capturing 360° images in a single scan session. The implementation of automated filtering for moving objects also reduces the necessity for manual data cleanup, minimizing the presence of irrelevant information caused by people or vehicles. Additionally, Aura is enhanced with RTK (Real-time Kinematics) capabilities, guaranteeing precise georeferencing for scans obtained via Hovermap backpacks, vehicles, and drones flying above ground. This feature greatly improves the speed and reliability of producing accurate, on-demand above-ground drone scans, allowing users to trust the timely and precise data for their projects. Ultimately, the integration of these features establishes Aura as a vital resource for professionals aiming to advance their scanning and analytical methods while achieving better outcomes in their work.

Media

Media

Integrations Supported

Archicad
AutoCAD
BricsCAD
Revit
ZWCAD

Integrations Supported

Archicad
AutoCAD
BricsCAD
Revit
ZWCAD

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

PointCab

Date Founded

2013

Company Location

United States

Company Website

pointcab-software.com/en/point-cloud-software/pointcab_origins/

Company Facts

Organization Name

Emesent

Date Founded

2018

Company Location

United States

Company Website

emesent.com/emesent-product/emesent-aura/

Categories and Features

Categories and Features

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