ZAPPCHA: Mobile LiDAR Scanner 7.7

Veesus Ltd – Freeware – iOS
out of 6 votes

Using Zappcha for capturing point clouds is a straightforward process:

Initiate the scanning by simply touching the screen
Move your device methodically around the subject of the scan, then tap once more to complete
After capturing the point cloud, you have the option to save it on your device or on the Zappcha Cloud

For optimal point cloud quality, it's recommended to utilize a LIDAR-enabled iPhone or iPad.

The non-LIDAR scanning feature is a new experimental functionality designed for non-LIDAR smartphones.

Zappcha efficiently showcases Point Clouds captured on both local devices and remote locations, regardless of size.

The Zappcha application and Zappcha Cloud service are provided at no cost. However, additional storage space can be acquired through instant upgrades or downgrades to your Zappcha Cloud account.

Zappcha Cloud seamlessly integrates with advanced point cloud editing and 3D design tools such as Veesus Arena4D, Rhino, and SolidWorks. This integration empowers professional users to weave Zappcha into their existing 3D modeling workflows, enhancing them with cloud storage capabilities and efficient creation of 3D scans from Apple devices.

Overview

ZAPPCHA: Mobile LiDAR Scanner is a Freeware software in the category System Utilities developed by Veesus Ltd.

The latest version of ZAPPCHA: Mobile LiDAR Scanner is 7.7, released on 08/29/2024. It was initially added to our database on 08/29/2024.

ZAPPCHA: Mobile LiDAR Scanner runs on the following operating systems: iOS.

Users of ZAPPCHA: Mobile LiDAR Scanner gave it a rating of 3 out of 5 stars.

Pros

High precision and accuracy for LiDAR data capture.
Portability allows for mobile scanning in various environments.
User-friendly interface simplifies operation during data collection.
Real-time data visualization enhances user experience and decision-making.
Integration with other software tools for advanced processing and analysis.
Durable design suitable for outdoor use in challenging conditions.

Cons

Relatively high cost compared to traditional scanning methods.
Limited battery life may restrict extended field use without recharging.
Requires technical knowledge to operate effectively and interpret data results.
May face difficulties in very dense vegetation or complex environments.
Support and training resources may be limited depending on the region.

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