> For the complete documentation index, see [llms.txt](https://docs.sensori.systems/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.sensori.systems/capturing-and-processing/other-capture-considerations.md).

# Other Capture Considerations

**Environmental and weather factors**

Depending upon the environment you’re capturing and how the weather is there are a few key notes:&#x20;

* It is not recommended to capture in the rain as water droplets on the lens will degrade performance.
* Wet and shiny surfaces won’t reconstruct well. Be prepared for mirrored areas, pools of standing water, and glassy objects to be deformed in the final model&#x20;
* Clean featureless areas, such as painted walls, may also be deformed or not get reconstructed in the final model.
* Dense vegetation, such as grasses and tree branches, will be poorly reconstructed in the model if there is much wind&#x20;
* When capturing dark areas, better results will be obtained by fitting a wide beam or 360 LED light to the camera.

Large areas of dark asphalt or dark membrane roof surfaces can significantly increase the drift error in the generated model.  Adding extra control point markers will help maintain accuracy in these situations:

<div><figure><img src="https://3186425580-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FvD3j4k6ayqZbkNgSVYA3%2Fuploads%2F9cEVsJ5VILK0K6sldLjt%2FScreenshot_20261004_130037.png?alt=media&amp;token=3f3f7447-43a1-4f28-b85c-14f15a5ba098" alt=""><figcaption></figcaption></figure> <figure><img src="https://3186425580-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FvD3j4k6ayqZbkNgSVYA3%2Fuploads%2F28P6rkKXImgeXoCSuzEb%2FScreenshot_20261004_130359.png?alt=media&amp;token=ed8f3646-cf41-4f24-be3f-7f0b0b0fdf69" alt=""><figcaption></figcaption></figure></div>

Finished office environments and cleanly painted interior walls will result in low accuracy or deformed geometry.  Photogrammetry is not recommended if a high quality point cloud is needed in this type of environment:

<div><figure><img src="https://3186425580-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FvD3j4k6ayqZbkNgSVYA3%2Fuploads%2FtOnMjXmIRsmSuoLqoFc6%2FScreenshot_20261004_134208.png?alt=media&amp;token=ff32c56b-cb5c-4996-98e5-10824fc7d66b" alt=""><figcaption></figcaption></figure> <figure><img src="https://3186425580-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FvD3j4k6ayqZbkNgSVYA3%2Fuploads%2FDNRXCIk3P2FXGlulqMGz%2FScreenshot_20261004_134531.png?alt=media&amp;token=f067ebdb-8c98-43b4-94cc-14f5c4b5ff74" alt=""><figcaption></figcaption></figure></div>
