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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nature nerd, leopard and eagle lover
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Conservation Biologist; Research interest Human Dimensions on Wildlife Conservation and Conservation Tech

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Arribada Initiative
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I'm a wildife conservationist currently working in conservation Technology as a Data Technician. I'm very passionate about conserving wildlife and exploring more in the conservation world.
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I am a skilled ecologist, animal scientist, conservationist, and environmentalist with experience in wildlife, ecological modelling, statistics, agriculture, and natural resource management. I aim to make a positive contribution to these fields through research and conservation.
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Passionate about wildlife and impact investment with an academic, research and practitioner background in environmental science, environmental law and green criminology pursued in Central America, China, Tanzania and the United Kingdom I am driven to decolonise the research on c
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Dedicated wildlife conservationist with over three years of hands-on experience in field research and conservation. Through extensive fieldwork i developed a strong foundation in various conservation techniques, including camera trap deployment, plant inventory methods.
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As a wildlife conservationist, I am deeply committed to the Ecology and Community Development. I help communities balance conservation with livelihoods, promoting beekeeping with the motto “Shusha Shoka, Pandisha Mzinga (Drop the Axe, Raise the Hive).
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National Geographic Society
Experience utilizing technology to inspire, educate, and create solutions to some of our biggest challenges. Currently, head of the National Geographic Society Exploration Technology Lab, overseeing the development and deployment of research and storytelling technologies.
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I'm a wildlife ecologist with interests in a range of technology.


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The Smithsonian National Zoo & Conservation Biology Institute is seeking a Postdoctoral Research Fellow to help us integrate movement data & camera trap data with global conservation policy.
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"We present the multivariate Hawkes process (MHP) and show how it can be used to analyze interactions between several species using camera trap data."
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Are you passionate about wildlife conservation and eager to contribute to meaningful research efforts? Lion Landscapes is seeking a dedicated and proactive Research Assistant to join their team.
11 April 2024
Combining camera traps and online surveys provided a more comprehensive understanding of mammal communities in anthropogenic landscapes, increasing both spatial coverage and the number of species sightings.
9 April 2024
These researchers used camera trapping as a lens to view mammal responses to changes in human activity during the COVID-19 pandemic.
3 April 2024
Article
You’re invited to the WILDLABS Variety Hour, a monthly event that connects you to conservation tech's most exciting projects, research, and ideas. We can't wait to bring you a whole new season of speakers and...
22 March 2024
The Smithsonian’s National Zoo and Conservation Biology Institute (SNZCBI) is seeking two postdoctoral fellows to engage more directly with identifying conservation metrics for vertebrate communities and populations.
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Catch up on the conservation tech discussions and events that happened during World Wildlife Day 2024!
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EcoAssist introduces a free African species identification model for camera trap images, capable of recognising 30 species.
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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 ago | |
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AI for Conservation, Camera Traps, Data management and processing tools | 5 months 1 week 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 | |
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Camera Traps | 5 months 2 weeks ago | |
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Camera Traps | 6 months ago | |
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AI for Conservation, Camera Traps, Software Development | 6 months ago | |
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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 | |
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Hi Eugene!Interesting project!I already signed up to test it!Cheers,Lars |
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