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



- 1 Resources
- 29 Discussions
- 18 Groups
- @tsmstrat
- | she/her
- 1 Resources
- 2 Discussions
- 4 Groups
- 0 Resources
- 0 Discussions
- 13 Groups
Spanish veterinarian interested in wildlife conservation
- 0 Resources
- 0 Discussions
- 14 Groups
- @CaseyAliveAI
- | He/Him
I'm an AI developer focused on ecology and the director of Alive AI
- 0 Resources
- 0 Discussions
- 4 Groups
- @team
- | team
Make the stories that make this life worth living.

- 0 Resources
- 2 Discussions
- 6 Groups
Software engineer
- 0 Resources
- 3 Discussions
- 4 Groups
- @Mumonkan
- | he / him
Conservation X Labs & Wild Me
Software Engineer for Wildlife Conservation

- 0 Resources
- 4 Discussions
- 11 Groups
- @aranFish
- | He/Him
CTO at SafetyNet Technologies


- 1 Resources
- 1 Discussions
- 6 Groups
- @ajcatella
- | he/him
I work as a BI Consultant, specialising in Power BI and am passionate about wildlife, particularly in Africa
- 0 Resources
- 3 Discussions
- 8 Groups
- @asime
- | He
I am Asime Oba a passionate conservationist with a strong background in microbiology and environmental science and a deep commitment to preserving, protecting and conserving wildlife and wild places in the Niger Delta region of Nigeria.
- 0 Resources
- 0 Discussions
- 4 Groups
- @SZaluski
- | her, she
- 0 Resources
- 0 Discussions
- 3 Groups
Microchip has just announced the 1 GHz SAMA7G54 single-core Arm Cortex-A7 microprocessor (MPU) with MIPI CSI-2 and parallel camera interfaces, as well as up to four I2S, one SPDIF transmitter and receiver, and a 4-...
3 June 2022
30 May 2022
Check out this round-up of three of the latest conservation tech studies and news. See more conservation tech news by subscribing to our bi-monthly digest.
24 March 2022
Community Announcement
Are you an early career Kenyan conservationist looking to explore emerging conservation technologies while networking with a strong cohort of other female leaders? Apply now for our 6-month Women in Conservation Tech...
8 March 2022
We're proud to introduce the first WILDLABS On the Edge Fellows for 2022, Loretta Schindlerova and Meredith Palmer! Working alongside expert Edge Impulse mentors, these two fellows will use embedded machine learning to...
10 February 2022
This article argues for a conservation method that integrates monitoring technology and community knowledge. Focusing on pangolins, the most trafficked animals globally, the study combines camera trap data from the...
20 December 2021
Camera trap wildlife surveys can generate vast amounts of imagery. A key problem in the wildlife ecology field is that vast amounts of time is spent reviewing this imagery to identify the species detected. Valuable...
20 December 2021
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
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
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
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
June 2025
July 2025
June 2020
October 2019
event
58 Products
Recently updated products
4 Products
Recently updated products
Description | Activity | Replies | Groups | Updated |
---|---|---|---|---|
Hi Egil, When you mention 'location' you refer to the location of the images from where they are imported from? And not the gps location from the EXIF data if it's... |
+9
|
Camera Traps | 7 years 5 months ago | |
. |
|
Camera Traps | 7 years 7 months ago | |
If you're planning a camera trap survey, then look no further. We've read through most (all?!) of the camera trap literature, so... |
|
Camera Traps | 7 years 7 months ago | |
Hi John, They will want a camera with good tolerance to humidity + precipitation (so a camera with a proper O-ring seal, and pack it with regularly-dried silica gel).... |
|
Camera Traps | 7 years 7 months ago | |
Hi all, If you haven't please take this survey on camera traps led by @P.Glover.Kapfer . I'm posting it here to... |
|
Camera Traps | 7 years 8 months ago | |
@@Chloe+Aust - pls google “ltl acorn uk”, you will get a lot info. No, no limited, just the company's sale rules. You could use it anywhere, but... |
|
Camera Traps | 7 years 10 months ago | |
Fair point, it isn't a peer reviewed article as yet. I had a poke around out of curiosity and wasn't able to track down a fully published paper yet (thought it's been... |
|
Camera Traps | 7 years 11 months ago | |
black thinking hat ! Interesting and honest. |
|
Camera Traps | 8 years ago | |
Steph, Not quite. I'm coordinating a fauna monitoring project for a Landcare network and, of course, we hope to get phascogales. I've just retrieved a batch of cameras... |
|
Camera Traps | 8 years 2 months ago | |
A number of good points have been made. In terms of remote-enable camera traps, you will mainly find one that use cellular data signals to transmit images. Typically these are... |
|
Camera Traps | 8 years 2 months ago | |
Thanks, i send the it to my chinese friends, i am sure some of them finished the survey. cheers Kai |
|
Camera Traps | 8 years 2 months ago | |
The facts are simple. If you violate the assumption of independence of sampling events you will bias the result. In the event of multiple observations by overestimating occupancy... |
+1
|
Camera Traps | 8 years 3 months ago |