---
description: >-
  Documentation on how to replicate and maintain the same wireless camera trap
  systems The Nature Conservancy utilizes on its preserves
---

# Intro

## Who this documentation is for

The following documentation is for TNC staff who are actively scaling and managing wireless camera trap networks and using [Animl](https://animl.camera) for data processing, and for anyone interested in replicating similar systems elsewhere!

The system we use integrates [locally-networked, radio-based camera traps](../../fundamentals/types-of-wireless-camera-traps#locally-networked-radio-based-camera-traps) (Buckeye X80s) and cellular camera traps ([RidgeTec Lookout 4G LTEs](https://www.trailcampro.com/products/ridgetec-lookout-4g-lte)) with [Animl](https://animl.camera), a software platform we've developed for managing camera trap data and performing machine learning inference in the cloud.

<figure><img src="https://2103397792-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FVG6PwTwwiLfnRGrocGQr%2Fuploads%2F1841S5Zj938y0k3MXxtD%2Fdata-flow-animation-6.png?alt=media&#x26;token=abd2e821-de87-4fe4-bc42-2c336a6f13d5" alt=""><figcaption><p>Diagram of how The Nature Conservancy's invasive species monitoring cameras work on Santa Cruz Island</p></figcaption></figure>

This documentation is meant to supplement the existing product documentation published by the camera manufacturers, provide specific guidance for integrating these types of cameras with Animl, and share lessons-learned/best practices for long-term deployments in the field.

{% hint style="info" %}
**Access to Animl**

If you're interested in using Animl for data processing and managment for your project, please reach out to Nathaniel Rindlaub at \<first name>.\<last name>@tnc.org
{% endhint %}
