Camera traps have been a key part of the conservation toolkit for decades. Remotely triggered video or still cameras allow researchers and managers to monitor cryptic species, survey populations, and support enforcement responses by documenting illegal activities. Increasingly, machine learning is being implemented to automate the processing of data generated by camera traps.
A recent study published showed that, despite being well-established and widely used tools in conservation, progress in the development of camera traps has plateaued since the emergence of the modern model in the mid-2000s, leaving users struggling with many of the same issues they faced a decade ago. That manufacturer ratings have not improved over time, despite technological advancements, demonstrates the need for a new generation of innovative conservation camera traps. Join this group and explore existing efforts, established needs, and what next-generation camera traps might look like - including the integration of AI for data processing through initiatives like Wildlife Insights and Wild Me.
Group Highlights:
Our past Tech Tutors seasons featured multiple episodes for experienced and new camera trappers. How Do I Repair My Camera Traps? featured WILDLABS members Laure Joanny, Alistair Stewart, and Rob Appleby and featured many troubleshooting and DIY resources for common issues.
For camera trap users looking to incorporate machine learning into the data analysis process, Sara Beery's How do I get started using machine learning for my camera traps? is an incredible resource discussing the user-friendly tool MegaDetector.
And for those who are new to camera trapping, Marcella Kelly's How do I choose the right camera trap(s) based on interests, goals, and species? will help you make important decisions based on factors like species, environment, power, durability, and more.
Finally, for an in-depth conversation on camera trap hardware and software, check out the Camera Traps Virtual Meetup featuring Sara Beery, Roland Kays, and Sam Seccombe.
And while you're here, be sure to stop by the camera trap community's collaborative troubleshooting data bank, where we're compiling common problems with the goal of creating a consistent place to exchange tips and tricks!
Header photo: Stephanie O'Donnell
- @hyodopenguin
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I am currently a rising junior at UC Berkeley studying data science. I hope to apply data with biodiversity, especially by utilizing camera traps for species classification. People in conservation tech are truly living my dream careers, and I can't wait to get even more inspired!
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- @Slater
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I am the Conservation Science Director at HawkWatch International, where I've worked since 2006. My work focuses mainly on conservation and research of Golden Eagles, including nesting, tracking, and winter ecology.
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Systems Engineer at Edge Impulse, experiencce with hands-on edge machine learning for wildlife conservation
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I work as in-house ecologist for a renewable energy developer in Ireland. Nature inclusive design, emerging tech and doing it better for biodiversity.
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- @rays45693
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PhD Student in Computer Science at Rensselaer Polytechnic Institute, working on wildlife conservation using deep learning
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MS seabird biology student
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| Description | Activity | Replies | Groups | Updated |
|---|---|---|---|---|
| Actually, you can source the product from anywhere, but I’m not very confident in the quality of products from China. That doesn’t mean products from China are bad—it might just... |
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Camera Traps | 5 months ago | |
| great, this security cameras might be interesting for monitoring crop development and maybe other bigger pests like boars or some other herbivorous animals that could eventually... |
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AI for Conservation, Camera Traps | 5 months 1 week ago | |
| Seems like we should include some rotations in our image augmentations as the real world can be seen a bit tilted - as this cropped corner view from our fisheye at the zoo shows. |
+13
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AI for Conservation, Camera Traps, Data management and processing tools | 5 months 2 weeks ago | |
| Thanks! The Teensys are nice for processing power if choosing an external Lora board I’d say that’s a good choice. I started with teensies, there was a well supported code base... |
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Camera Traps, Sensors | 5 months 2 weeks ago | |
| Hi Raza,As @ollie_wearn suggests, if think traptagger will be the easiest for you: You just have to follow the tutorial there:The person in charge of Traptagger is also very... |
+3
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Camera Traps | 5 months 3 weeks ago | |
| Hello Wildlabs community! My name is Shawn Johnson and I am a research assistant for Dr. Karen Mager and Dr. Bernie Boscoe here at Southern... |
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Camera Traps | 6 months ago | |
| Hi Zhongqi! We are finalizing our modelling work over the next couple of weeks and can make our work availabile for your team. Our objective is to create small (<500k... |
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AI for Conservation, Camera Traps, Software Development | 6 months ago | |
| There's quite a few diy or prototype solutions described online and in literature - but it seems none of these have made it to market yet as generally available fully usable... |
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AI for Conservation, Camera Traps, Human-Wildlife Conflict, Sensors | 6 months ago | |
| I think the big thing is power consumption. Commercial camera traps have a large power (current) dynamic range. That means they can often swing from ~0.1 mA to ~1000 mA of current... |
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Camera Traps | 6 months ago | |
| As others have said, pretty much all image models at least start with general-subject datasets ("car," "bird," "person", etc.) and have to be refined to work with more precision... |
+20
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AI for Conservation, Camera Traps | 6 months 1 week ago | |
| This is a thread for anyone who has questions about AI for Conservation Office Hours 2025.We're once again teaming up with Dan Morris from... |
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Acoustics, AI for Conservation, Camera Traps, Community Base, Geospatial | 6 months 1 week ago | |
| Hi Eugene!Interesting project!I already signed up to test it!Cheers,Lars |
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AI for Conservation, Camera Traps | 6 months 2 weeks ago |
