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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- @Muzna
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Muzna Kashaf is a dedicated herpetologist who recently achieved her MPhil, showcasing her commitment to advancing knowledge in the field. Her research focus lies in amphibians, and she has utilized Geographic Information Systems (GIS) to enhance precision of her studies.

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Panthera

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- @lucytallents
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VerdantLearn
Sociable e-learning for conservation capacity building

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- @CitlalliMJ6
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Conservation biologist, executive director at the Tesoro Escondido Reserve Foundation in the Ecuadorian Chocó, working on participatory action research, environmental education, primate and amphibian conservation
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St. Lawrence University
Professor of Biology at St. Lawrence University
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- @diego_lizcano
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Wildlife biologist interested in biodiversity monitoring and the conservation of mammals. Passionate photographer.
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wildlife crime WWF-NL
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- @jenlaw
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Biodiversity scientist specialising specialising in the study of tropical ecosystems and their biodiversity using multiple forms of technology, including acoustics, images and robotics.
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In this case study, Cooper Oelrichs of Save Indonesian Endangered Species Fund (SIES) breaks down his proposal for the development and training of an automated rhino identification system from limited camera trap data.
27 July 2019
The WILDLABS TECH HUB is supporting technology solutions tackling the illegal wildlife trade, in collaboration with the Foreign & Commonwealth Office, Digital Catapult, Satellite Applications Catapult, Amazon Web...
4 June 2019
Ol Pejeta Conservancy partners with conservation and technology organisations to kick-start a research and innovation centre for wildlife conservation
31 May 2019
In this blog, Laure Joanny adds her perspectives to an ongoing discussion that we've been seeing in the community about conservation tech and it's relationship to e-waste. How do we tackle the challenge of battery waste...
3 May 2019
Happy World Wildlife Day! To celebrate, this week we've asked our community to share photos showing how they are using tech in the field or the lab, using the #Tech4Wildlife hashtag.
3 March 2019
Arribada recently returned from field sites in Assam, India where they tested the image quality and detection abilities of low-cost thermal sensors for detecting elephants in conflict areas. Arribada is working on these...
1 March 2019
In this case study, Science Reporter Jamie Morton tells the story of how Kiwi scientists are teaming up with a local underwater robotics company to gain world-first insights into the lives of whales in Antarctica.
4 February 2019
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22 November 2018
A team of Brazilian biologists supported by the Conservation Leadership Programme (CLP) is unlocking the secrets of one of the world’s most fragile and threatened biodiversity hotspots thanks to the success of a...
22 November 2018
Although invaluable for conservation and ecological research, camera traps frequently take pictures of people as well as wildlife. This has important implications for privacy and human rights and may ultimately...
22 November 2018
Ted Schmitt joined us for a lunchtime lecture in which he shared his experiences working across Africa the past five years with protected area managers, anti-trafficking organisations, and scientists to effectively...
22 November 2018
In this case study, WILDLABS member Sol Milne takes us through his Ph.D. work investigating how changing land-use is affecting orangutan distribution in Sabah, Malaysian Borneo. With the help of five local research...
22 October 2018
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Description | Activity | Replies | Groups | Updated |
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Hi Phil, Thanks for sharing - this is really interesting work! Seems like a cool integration of ground-based (or ocean-based) data and satellite data, with a community... |
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Geospatial, Acoustics, Camera Traps, eDNA & Genomics | 10 months 2 weeks ago | |
Dear team,I am new to WildLabs. It's great to find all the interesting and informative discussions.We are exploring deploying "connected" camera traps in wetlands (2 hectares for... |
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Camera Traps | 10 months 3 weeks ago | |
I've deployed and trained others to climb and deploy arboreal cameras in several countries and I agree with Lucy's approach. Leaving a thin cord (like a throw line) to quicken... |
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Camera Traps | 11 months ago | |
Hi Karen,Yeah the discharge curves of lithium cells tend to be very stable for a long time and then drop sharply at the end. Akiba and Brett's advice below re: condensation... |
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Camera Traps, AI for Conservation | 11 months ago | |
Hej Vasilios, thank you so much for this list with notes! Much appreciated. Thank you also for sharing your experiences with the Mitsubishi corporation, your non-profit and other... |
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Camera Traps, Funding and Finance | 11 months ago | |
Hi Rob,Thank you so much for these suggestions, I'll do a little more research around these and get back to you if I have any other questions! :)Best,Chelsea |
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Camera Traps | 11 months 1 week ago | |
Hi Patrick,FYI - I've modified a couple hundred GardePros at this point with a new lens for wider angles and closer focus. Their cameras are pretty simple so easy to take apart... |
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Camera Traps | 11 months 3 weeks ago | |
Very interesting please update us once experiment is successful |
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Camera Traps, Conservation Tech Training and Education | 1 year ago | |
Really interesting, I will take a look |
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AI for Conservation, Camera Traps, Data management and processing tools, Emerging Tech | 1 year ago | |
great project !! |
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Camera Traps | 1 year ago | |
great idea!! |
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Camera Traps | 1 year ago | |
Keep digging girll!! |
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Camera Traps | 1 year ago |