discussion / AI for Conservation  / 17 February 2025

Building the perfect camera trap (Guide)

I know there are several people and teams going through the journey of building their own trail cameras – so I decided to make the guide I wish I had when we were still building hardware.

I also really would love to hear from people if there is anything I am missing. Features which I don’t mention which would be great to include? Let those who are on the trail camera development journey hear about what is missing from the existing solutions 😊

You can read the article here: Building the perfect Wildlife Camera (Guide) 

The article is long, so here’s the TL;DR:

Feedback we got throughout our camera journey 
Deep dive into key components: camera, PIR sensors, Fresnel lenses, IR illumination, etc.
Why we ultimately shifted away from hardware.
What I would have done differently.

I hope someone finds it helpful!




Lars Holst Hansen
@Lars_Holst_Hansen
Aarhus University
Biologist and Research Technician working with ecosystem monitoring and research at Zackenberg Research Station in Greenland
Conversation starter level 3
Popular level 3
Poster level 2
Involvement level 3
Commenter level 4

If you are the least interested in camera traps, you should definately go and check out Hugo's interesting article!

Cheers,

Lars

Great Article! (and thanks for the ping re: "PIR Sensors" )

I like the idea of a simple magnetic trigger.  As an alternative, I've often wondered about an ultra-low-power "wake on Radio" receiver that could be connected wirelessly to a range of different trigger devices.  

Also, there is an interesting tradeoff between battery life and trigger speed you didn't cover.  Namely, all the commercial trail cameras I know of  turn themselves almost completely off between triggers to save power.  An ultra low power "boot controller" monitors the PIR sensor, and when triggered, initiates the boot sequence for the main SoC.  I've found that the boot process (rather than PIR bandwdith, configuring the image sensor, shutter speed, etc. ) dominates the "trigger time".  It is remarkable that this all happens in less than 400 ms for the newer trail cameras.  There are some hacks to help this along, for example, locating the time-critical code early in the EEPROM boot image so that the firmware can start executing before all the firmware is loaded (ask me how I discovered this). 

For those interested in the inner workings of a typical commercial trail camera, check out my series of articles documenting reverse engineering (and hacking) a few Browning models.  

   

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?