# VLX LiDAR SLAM Scanner

<div data-full-width="true"><figure><img src="/files/AV261DFXoeqzqjDv9GQq" alt=""><figcaption></figcaption></figure></div>

The VLX 3 is a wearable terrestrial scanner - it sits on your body and captures the environment around you. The VLX 3 uses LiDAR-based **SLAM (Simultaneous Localisation and Mapping)** technology. \
\
It is often used in navigation where there is continuous movement; i.e., in cars. SLAM is able to map out the environment and also place the device spatially in that same environment.\
\
In the VLX 3, as you walk around it will automatically build up the dataset, aligning individual scans is not as required in this workflow, making it faster and more accessible.

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<table data-card-size="large" data-view="cards"><thead><tr><th></th><th></th><th data-hidden data-card-target data-type="content-ref"></th></tr></thead><tbody><tr><td><strong>Training LMS ⧉</strong></td><td>Complete relevant 3D Scanning training modules to access Equipment Loans.</td><td><a href="https://ms-training.msd.unimelb.edu.au/view_course/344">https://ms-training.msd.unimelb.edu.au/view_course/344</a></td></tr><tr><td><strong>Equipment Loan ⧉</strong></td><td>Loan from the Media Hub once you have finished your training.</td><td><a href="https://msd.unimelb.edu.au/maker-spaces/loans-desk">https://msd.unimelb.edu.au/maker-spaces/loans-desk</a></td></tr><tr><td><strong>Consultations ⧉</strong></td><td>Consult one of our Technicians about your projects or for technical guidance.</td><td><a href="https://msd.unimelb.edu.au/maker-spaces/next-lab/main#resources-services">https://msd.unimelb.edu.au/maker-spaces/next-lab/main#resources-services</a></td></tr></tbody></table>

## The Kit

The VLX 3 kit comes in a hard case containing the following:&#x20;

<figure><img src="/files/bMLcV833ecGMTH4ZMv37" alt=""><figcaption></figcaption></figure>

There will also be some cleaning cloths, replacement parts and other miscellaneous items.

## Credentials

Please speak to NExT Lab about setting up credentials to access the processing workflow.

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## Scanning Parameters

| Distance                                         | Accuracy |
| ------------------------------------------------ | -------- |
| 10m, 30m or 50m depending on scanning parameters | +- 5mm   |

***

## Workflow

### Evaluate + Plan

For any 3D scanning project, it is best to plan out how you will approach the scanning - where to best take the scans, how many scans as an indicator of time, scan quality, and more. You can start with the BLK360 Benchmarking guide here:

{% content-ref url="/pages/-MQKAJqyiPoLMIrJS\_Qr" %}
[BLK360 Benchmark](/next-lab/3d-scanning/guides/leica-blk-360/blk360-benchmark.md)
{% endcontent-ref %}

The main differences are instead of individual single scans, the VLX 3 will scan continuously as you move; so you will need to consider your route as a continuous walk and ensure you are navigating around occlusions to ensure a complete scan.

Planning out your route means that you prepare exactly how to approach the walk - having a floorplan or visiting the location early can help - you don't want to just start scanning without an idea on how you intend to move. More details are covered in 2.

### Scanning Workflow

{% content-ref url="/pages/4cZs6jHrC6UvQp62EYPh" %}
[VLX setup](/next-lab/3d-scanning/guides/vlx/vlx-setup.md)
{% endcontent-ref %}

{% content-ref url="/pages/Mjv7EYGEXXSgX4gc0EkH" %}
[Preparing to Scan](/next-lab/3d-scanning/guides/vlx/preparing-to-scan.md)
{% endcontent-ref %}

{% content-ref url="/pages/ezBGjKfF9pbHX1s5pHM5" %}
[Using the Scanner](/next-lab/3d-scanning/guides/vlx/using-the-scanner.md)
{% endcontent-ref %}

{% content-ref url="/pages/4AKw1w42Nl0rI8pcK3XO" %}
[Processing the Scans](/next-lab/3d-scanning/guides/vlx/processing-the-scans.md)
{% endcontent-ref %}

## Training modules&#x20;

In addition to the Next-Lab knowledge base on the VLX, you can create a NavVis account [here](https://support.navvis.com/).&#x20;

<figure><img src="/files/6HZA7K1NWwZYOUs8vlS9" alt=""><figcaption></figcaption></figure>

Once you've signed in, you can access the training modules linked below:

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

<figure><img src="/files/OVXynRTC8Z8uhJGrAo1r" alt=""><figcaption></figcaption></figure>


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