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Release Notes - 6th April 2023

New Features

Point cloud change detection

A new point cloud change detection/comparison analytic has now been released. This provides a highly scalable way to calculate the closest distance of each point in a point cloud to another point cloud. The current implementation requires you to create a merged point cloud and gives you the option to select 2 layers within the merged cloud to compare. The distance calculation finds the closest point in the comparison layer to each point in the reference layer using a local surface estimation (triangulation of points) in the comparison cloud. Results can be visualised in the 3D viewer (see image below) and polygons/contours can be exported. Future releases will include more specific distance calculation variants such as vertical-only distances for more specific applications.

Note: this feature is only available to customers with an Analytics subscription. Please contact Pointerra support for assistance with enabling and setting up this analytic in your account. 

Large photo support

Photo sets are now automatically processed into a tiled multi-resolution format, providing a more dynamic viewing experience and the ability to deal with very large photos. The photo viewer now has interactive zooming as a replacement for the existing drag-box to zoom to an area of interest. Other functionality of the photo browser (and photo inspection) has been ported across to the new viewer.

Process multiple vector files into a single layered dataset

When uploading a set of vector files - for example multiple DXF files, you will now be presented with the option to process each file into a separate vector dataset (this is the existing behaviour), or to choose to unify all of the files into a single dataset and have each file displayed as a layer within the dataset. In some respects, this is similar to the existing grouping functionality that allows you to select and display multiple datasets as a group. The primary difference is that that the grouping is automatically created and the dataset is treated a single entity that can be added/removed/deleted. Downloading the files for a dataset will also download all of the layer files as a single archive - so this is a useful way to process vector layers that are meant to be viewed and used together. The names of each layer can be edited in the viewer and will be saved if you have edit permissions.

Improvements/Changes

Pointerra3D Core

Analytics

Utility Explorer

Bug Fixes