looking forward to this discussions too. Exploring the use of sparrow and in case our use case succeeds, we'll share feedback too.

Wow, what a great project.

Great guide — this is exactly the kind of resource the community needs. A few additions from a hardware embedded perspective that might be worth including:

On PIR sensors — the standard Fresnel lens + PIR combination has a fundamental limitation in hot environments: when ambient temperature approaches body temperature (~35°C in African savannah), the thermal contrast between the animal and the background drops dramatically and trigger reliability degrades. This is worth calling out explicitly for tropical and arid deployments, where the standard PIR may miss animals during the hottest part of the day. Some teams have moved to passive radar (Doppler microwave) as an alternative trigger for hot environments — less species-selective but more temperature-independent.

On power architecture — one thing I'd add to the component deep-dive is the power switching circuit. Most commercial cameras use a simple battery holder with no protection. For DIY builds, a proper battery management IC with overcurrent protection, low-voltage cutoff, and reverse polarity protection adds almost no cost but prevents a lot of field failures, especially when using lithium primaries in extreme temperatures.

On IR illumination — the choice between 850nm (faint red glow, better image quality) and 940nm (truly invisible, lower image quality, shorter range) is well covered in most guides, but what's often missed is thermal management of the IR LEDs themselves. High-power IR LEDs run hot and can significantly raise the enclosure temperature in a sealed housing — worth mentioning as a factor in enclosure thermal design, particularly for cameras that run night-long video.

On the shift away from hardware — curious what drove that decision. Was it the enclosure/thermal challenges, the PIR reliability issue, or something else entirely?

Thank you for sharing.

HI

This what I am trying currently todo

https://wildlabs.net/en/discussion/looking-collaborators-ai-powered-backyard-bee-monitor-citizen-science?language_content_entity=en

I have already some algorithms and some monitoring set up in development

feel free to reach me maybe we could join forces

That's a great idea @MandyEyrich ! Similar to your idea, I wrote up an article with geospatial highlights from ICTC 2026: https://wildlabs.net/en/article/wildlabs-geospatial-group-ictc-2026. 

Is the Human-Wildlife Coexistence article available yet? Would love to read it and share it with colleagues at Fauna & Flora.

I would probably ask: “If your code basically does not allow you to take harmful actions, what should you do if you are provided with irrefutable proof that your existence, supported by components built and developed with “rare minerals” extracted from conflict areas is actually harming and destroying indigenous communities and biodiversity?”

Hello,
This is an incredible initiative, and exactly the kind of practical AI application that can make a huge impact in the conservation space!

As an AI Solutions Architect based in the US with 20 years of tech experience, I have built several RAG (Retrieval-Augmented Generation) and Agentic solutions. I would love to contribute directly to the implementation or consulting side of this project if required.

Whether you need help with structuring the retrieval pipelines for the forum data, designing the agentic workflows, or handling the backend and cloud deployment, I would be happy to jump in and support the build.

Please let me know how I can best get involved, or if you'd like to chat about the technical architecture and how to bring this to life!

hi! I would be happy to contribute my experience in edge AI and smart sensors for real-time wildlife monitoring.

I'd be happy to contribute as well, I lead various conservation AI projects in Hong Kong and Japan, camera trapping, acoustic monitoring, and some drone/LiDAR image processing.

Hi! As Open Science Conservation Fund are happy to contribute with Trapper, scalable, open-source and AI-driven camera trap data infrastructure. https://os-conservation.org/trapper/