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



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The Department of Wildlife, Fish, and Environmental Studies (WFE), SLU, Umeå, is looking for a postdoc with strong interests in wildlife conservation technology.
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The Department of Wildlife, Fish, and Environmental Studies (WFE), SLU, Umeå, is looking for a postdoc with strong interests in wildlife conservation technology. She/he will work within Big Picture, a European project...
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Interesting webinar on the use of advanced technologies(e.g. Artificial Intelligence, cloud computing, drones, camera traps and satellites) for biodiversity monitoring in the Amazon. Also available in Spanish.
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Are you stuck on an AI or ML challenge in your conservation work? Apply now for the chance to receive tailored expert advice from data scientists! The deadline for applications is Monday 9 December 2024.
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Managing large volumes of camera trap data can be time-consuming and labor-intensive, especially when it comes to detecting and classifying wildlife. To tackle these challenges, Declas v1.0.0 has been released—an open-...
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Join us in celebrating this year’s Community Choice Award winners!
15 August 2024
Vote for your favorite submissions that best demonstrate conservation impact, novel innovation/discovery, and strong storytelling of the work and the sector.
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In this post, I describe an animal recognition demonstration app I developed for the iPhone. The “MegaDetector-Demo” app uses the latest “MegaDetector” animal detector model from PyTorch-Wildlife to identify animals,...
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Hi all, I've published a blog post on rapidly labeling camera trap data using ChatGPT for species identification and a simple object detection model to get the bounding boxes. While presented in Edge Impulse, this...
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Description | Activity | Replies | Groups | Updated |
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Thanks Carly! I was thinking similar things, you can identify shape a lot better when you see an object with depth rather than without. The two cameras can be configured... |
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Camera Traps | 4 years 9 months ago | |
Fig 2 here; https://onlinelibrary.wiley.com/doi/full/10.1111/aje.12573 might help for the Bushnell. I haven't tested Stealthcams. There is more here; https... |
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Camera Traps | 4 years 9 months ago | |
Great talk! I thoroughly enjoyed it. Some high schoolers have done small AI projects(s) and have interest in the wildlife. What resources would you all suggest to further... |
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AI for Conservation, Camera Traps | 4 years 10 months ago | |
Hi all, There is a conversation underway in the "Ethics of conservation tech" group on best practices for responsible ue of... |
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Camera Traps | 4 years 11 months ago | |
Hi everyone, I am resurrecting this thread as WILDLABS is currently planning an online tutorial on camera trap repairs in the field on 23rd July at 11 AM ET on which I... |
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Camera Traps | 4 years 11 months ago | |
Is this offer still open |
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Camera Traps, Marine Conservation | 5 years ago | |
Hi Naomi, I'm not aware of any guidelines published, but we've got the smooth coated otter in our camera traps before, and I suggest you follow a stratified sampling... |
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Camera Traps | 5 years 1 month ago | |
Hi Tim, Your diagramme shows a USB connection between the camera and the RPi. What kind of camera is it? Also, does this mean the RPi lives with the camera in the... |
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Camera Traps | 5 years 2 months ago | |
Hi everyone! We are happy to announce our third annual iWildCam camera trap challenge, focused on helping to automate species... |
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Camera Traps | 5 years 2 months ago | |
I'm working on developing an average speed camera system using a Raspberry Pi and an Arduino that will be used in Zimbabwe on a road... |
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Camera Traps | 5 years 2 months ago | |
Hi Gregory, That is quite shocking to hear that a road could be so detrimental to wildlife. If you were able to place a speed hump or rumble strip where you place the camera... |
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Camera Traps | 5 years 5 months ago | |
Microsoft AI for Earth and DrivenData just launched a new machine learning competition on Snapshot Serengeti data: http://aiforearth.... |
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Camera Traps | 5 years 6 months ago |