# Processing the Scans

## NavVis IVION

NavVis IVION is a cloud-based digital twin platform that allows users to present curated 3D-scanned sites with metadata like points of interest, waypointing and room information.

**For most purposes, IVION will only be used for processing point cloud data for your further use cases in CAD or rendering.** \
\
If you wish to use IVION for its presentation capabilities; check out this **demo** to see if suitable for your use-case; for setup, refer to the [NavVis Knowledge Base](https://knowledge.navvis.com/docs/overview-of-navvis-ivion) or with [NavVis Academy (free, sign-up with your own credentials).](https://academy.navvis.com/)

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## Processing Workflow

1. Remove the SSD from the socket located below the screen 
2. Use the provided USB cables to connect the SSD with a computer 

{% embed url="<https://next-lab.iv.navvis.com/>" %}

4. Logon to NavVis IVION, the scanner's cloud processing companion. and navigate to the **upload data** page\
   NExT Lab will provide you with credentials and details. &#x20;
5. You should automatically be in your dedicated cloud instance.
6. Press Data Processing

<figure><img src="https://1820679795-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F-LXautSvCbUco5Lv7YrH%2Fuploads%2FE9XoDpbNx8hRaMwqjE5X%2Fimage.png?alt=media&#x26;token=56cd0893-505e-4018-97ce-d09b236e93c0" alt=""><figcaption></figcaption></figure>

6. In file explorer, access the SSD > Data > datasets\_rec
7. Drag and drop the entire folder with the corresponding date and time of your scan into the 'upload recorded data' box

<figure><img src="https://1820679795-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F-LXautSvCbUco5Lv7YrH%2Fuploads%2F3uVEKkQuHvVBFt5tvjk0%2Fimage.png?alt=media&#x26;token=ced7b1c8-6a29-4a88-8a6b-42c4d4c30f45" alt=""><figcaption></figcaption></figure>

7. Once uploaded, navigate to **processing tasks** on the left&#x20;
8. Click 'create a new processing task" and select your uploaded scan

<figure><img src="https://1820679795-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F-LXautSvCbUco5Lv7YrH%2Fuploads%2FDGe9OEcIK8WGMysVM6dB%2Fimage.png?alt=media&#x26;token=bfb977bf-6e54-425b-a17b-9befe7933c90" alt=""><figcaption></figcaption></figure>

9. Configure settings depending on the nature of your scan and click **start processing**

<figure><img src="https://1820679795-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F-LXautSvCbUco5Lv7YrH%2Fuploads%2F3PVjn4phxdnYuKGI8ZVE%2Fimage.png?alt=media&#x26;token=7e821029-c5ca-4c30-96e0-7a7c70ad7764" alt=""><figcaption></figcaption></figure>

10. You will need to make the following changes to the point-cloud configuration&#x20;

* Point cloud resolution to 5mm: This is the highest quality possible. Always do 5mm and downsample afterwards if a lower resolution is required.
* The **high confidence** **setting** has a range of 10m, and will be a smaller, but more complete scan.&#x20;
* The **standard setting** has a range of 30m and is good for interior or built up spaces.
* The **outdoor setting** has a range of 50m. The point cloud density may be sparce on the edges for this reason, however, this setting is good for larger spaces.&#x20;

10. The scan will now be sent to the NavVis server for processing. This may take several hours.
11. Once the processing status has changed to 'complete' navigate to **processed data** on the left.&#x20;
12. Here you can select and downolad your preferred files.&#x20;

<figure><img src="https://1820679795-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F-LXautSvCbUco5Lv7YrH%2Fuploads%2FmsuZMrfmF5BJkGuOpLyV%2Fimage.png?alt=media&#x26;token=7c310f16-bd4f-4f53-84e7-73959dbcf495" alt=""><figcaption></figcaption></figure>

<figure><img src="https://1820679795-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F-LXautSvCbUco5Lv7YrH%2Fuploads%2FUoL7F4F4DJuSp2FiNtVr%2Fimage.png?alt=media&#x26;token=bcf8d674-6ef3-450f-bf2f-21c1742cd0d8" alt=""><figcaption></figcaption></figure>

For more information, you can visit the NavVis knowledge base linked below.&#x20;

{% embed url="<https://knowledge.navvis.com/docs/uploading-data>" %}

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## Next Steps

VLX point cloud outputs, as SLAM datasets, look different to stationary terrestrial scanning outputs - they tend to be noisier.

**Meshing**

You will find that you cannot run the [recommended type ](https://ms-kb.msd.unimelb.edu.au/next-lab/3d-scanning/working-with-3d-scan-data/point-clouds-to-meshes#inside-or-outside)of algorithms.\
Meshing them is harder as they lack a cloud structure that guarantees successful meshing.

**Combining Datasets**

Use [point-to-point techniques](https://ms-kb.msd.unimelb.edu.au/next-lab/3d-scanning/working-with-3d-scan-data#aligning) to combine clouds together.