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
No showcases have been added to this group yet.
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.
- 0 Resources
- 1 Discussions
- 16 Groups
I'm a wildlife ecologist with interests in a range of technology.
- 0 Resources
- 22 Discussions
- 5 Groups
- @ana-alcantara
- | She/her
Postgraduate Biology student interested in bioacoustics, conservation biology and biodiversity
- 0 Resources
- 2 Discussions
- 10 Groups
- 0 Resources
- 0 Discussions
- 4 Groups
- @magerk
- | she/her
wildlife ecologist, Associate Professor of Environmental Science, Policy, & Sustainability and Biology
- 0 Resources
- 2 Discussions
- 3 Groups
- @kosmakosv
- | he/him
Peace Corps Volunteer and Nature Enthusiast
- 0 Resources
- 10 Discussions
- 1 Groups
Movement Ecologist studying the where, why, and how animals move throughout our world. Current work is investigating the movement and energetics of large neotropical bats in a changing environment with ephemeral resources.
- 0 Resources
- 23 Discussions
- 22 Groups
- @matt_hron
- | He/Him
Wildlife Protection Solutions (WPS)
Product Manager at Wildlife Protection Solutions
- 0 Resources
- 8 Discussions
- 8 Groups
- @tomwhite101
- | He/Him
Agroecology Geek
- 0 Resources
- 0 Discussions
- 12 Groups
World Wide Fund for Nature/ World Wildlife Fund (WWF)
- 1 Resources
- 2 Discussions
- 5 Groups
- @heiabb02
- | she/her
Early Career Wild Felid conservationist with BS in Biology & Zoology
- 0 Resources
- 0 Discussions
- 6 Groups
Asst. Prof @ MIT with research at the intersection of computer vision, biodiversity monitoring, conservation, and sustainability.
- 4 Resources
- 15 Discussions
- 5 Groups
Article
This study breaks ground in outlining a methodology for a system of low-cost, long-term camera traps (Dispersed Environment Acquatic Cameras) that can be deployed over large spatial scales in remote marine environments...
30 November 2021
Article
Technical Difficulties: The Promise and Pitfalls of Machine Learning for Conservation
Sara Beery and 1 more
In Ellie Warren's interview with Sara Beery as part of the Technical Difficulties Editorial Series, they discussed how the hype surrounding machine learning impacts our perceptions of failure, and how conservationists...
23 November 2021
Article
Caiman: Images as Sources of Intelligence
Sensing Clues Foundation
CAIMAN is a product from the Sensing Clues Foundation that automatically classifies animals on images from camera traps. It aims to be available by the end of 2021, contact the Sensing Clues team for more details. This...
18 November 2021
Article
Technical Difficulties: Pangolin in a Haystack
Juliana Masseloux
In her case study from our Technical Difficulties Editorial Series, Juliana Masseloux discusses her challenges in working with camera traps to study elusive and rare animals like the pangolin, and shares her best advice...
11 November 2021
Article
Black Rock Forest (BRF) are recruiting a seasonal Wildlife Connectivity Technician. Visit their website for further details and how to apply. Hurry, applications close soon!
3 November 2021
Article
Technical Difficulties: Understanding the Realities
Eric Becker and 1 more
In their three-part interview from our new series Technical Difficulties, Colby Loucks and Eric Becker share the failures they've encountered and learned from throughout six years of working on the WWF-US Wildlife Crime...
13 October 2021
Article
Technical Difficulties: A Deployment Checklist
Kristen Denninger Snyder
In Alina Peter's and Kristen Snyder's contribution to the Technical Difficulties Editorial Series, you'll receive a practical checklist of factors and questions to consider at various stages of your conservation...
13 October 2021
Article
Wildlife Insights Launches
Zoological Society London (ZSL)
Wildlife Insights is excited to announce the public release of their new platform! Read on to learn about all the useful features you'll find on Wildlife Insights, and check out WILDLABS' Tech Tutors episode with...
27 July 2021
Article
Tech4Wildlife Leaders: Understanding Endangered Primate Populations
Tasmin Alexander
Read our interview with Tasmin Alexander, early career conservationist and member of the CLP Future Conservationist Award-winning Preuss's Monkey Project research team. Working in the Obudu Plateau in Nigeria, this team...
2 June 2021
Article
Tech4Wildlife Leaders: Resolving Human-Giraffe Conflict
Owino Otieno Raymond
Read our interview with early career conservationist and CLP Future Conservationist Award recipient Owino Raymond, who is working with camera traps along the Kenya-Somalia border to understand and reduce conflict...
21 May 2021
Article
New Article: Environmental DNA Metabarcoding
WILDLABS Team
Check out the new research article "Environmental DNA metabarcoding as a useful tool for evaluating terrestrial mammal diversity in tropical forests." Recently published in Ecological Society of America's Ecological...
6 April 2021
Community Announcement
Whether you spent the last year working in the field, lab, at home, or virtually, the WILDLABS community's conservation tech achievements were on full display in our annual #Tech4Wildlife Photo Challenge! Relive our...
25 March 2021
August 2025
event
Riley Knoedler
event
Louisa Richmond-Coggan
September 2025
event
Louisa Richmond-Coggan
June 2020
October 2019
58 Products
Recently updated products
4 Products
Recently updated products
| Description | Activity | Replies | Groups | Updated |
|---|---|---|---|---|
| Hi Ștefan! In my current case, I am trying to detect and count Arctic fox pups. Unfortunately, Arctic fox does not seem to be included in the training data of SpeciesNet but... |
+16
|
AI for Conservation, Camera Traps | 3 months 1 week ago | |
| Interesting. Thanks for the explanation. Nice to hear your passion showing through. |
|
AI for Conservation, Camera Traps, Data management and processing tools, Open Source Solutions, Software Development | 3 months 2 weeks ago | |
| Weeks with continuous inference would require a pretty big battery. I expect you would need some kind of customisation and maybe quite a bit of compromise to last weeks and on a... |
|
Camera Traps | 3 months 2 weeks ago | |
| 📸 Do you use camera traps in your work? Take part in our survey!Hi everyone! I’m currently a final-year engineering... |
|
Camera Traps, AI for Conservation, Data management and processing tools, Open Source Solutions, Software Development | 3 months 2 weeks ago | |
| That's great! |
|
Camera Traps | 3 months 3 weeks ago | |
| Yes, I know about this big limitation,As far as I know they are working to increase the coverage available for this solution.For trusted developers, there are more regions... |
|
Connectivity, Camera Traps | 3 months 4 weeks ago | |
| Hi, just wanted to let whoever is interested that v.1.3 of DeepFaune is out! Deepfaune is a software that runs on any standard... |
|
Camera Traps, AI for Conservation, Open Source Solutions | 3 months 4 weeks ago | |
| Hi there I am looking into the feasibility of a remote camera program in the Yukon Territory, Canada outside of cellular coverage with the... |
|
Camera Traps | 4 months ago | |
| [Full disclosure: this question was also posted to the AI for Conservation Slack, and I'm copying and pasting my answer from there to here.]The first thing I would recommend is... |
|
Camera Traps | 4 months ago | |
| Using some cheap WiFi router (brand Comfast) which has a USB port where I connected a USB SSD drive 1GB. I have flashed it with OpenWRT, rebuilt ffmpeg (as ffmpeg-custom) to... |
+26
|
Camera Traps | 4 months 2 weeks ago | |
| Hi @rcz133 thanks for the update it looks promissing! An external motion PIR as @EDsteve develloped could help reduce the power consumption related to the video pipeline, but so... |
+10
|
Camera Traps | 4 months 2 weeks ago | |
| Training remains somewhat more of a hassle than inference, but thanks to a WILDLABS grant, our friendly neighborhood machine learning folks at DrivenData are working to narrow... |
|
Camera Traps | 4 months 2 weeks ago |
