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: ACEAA-Conservacion Amazonica
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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
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
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
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 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
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
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
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
This year's iWildCam competition is now live on kaggle. Go beyond just classifying species or detecting animals - this year the challenge focuses on counting how many individuals of each species are seen in a burst of...
12 March 2021
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Description | Activity | Replies | Groups | Updated |
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greetings! i sent you a PM regarding this, feel free to contact me however is most convenient for you - regards,chris |
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Acoustics, AI for Conservation, Camera Traps, Climate Change, East Africa Community, Wildlife Crime | 1 year 1 month ago | |
Great, thank you both! I'll follow up for introductions/ contact info |
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Camera Traps | 1 year 1 month ago | |
Hi Adrián, Bracis et al. {recurse} package in R allow those time between visits comparisons. I had problems running the package with my data, though. |
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Camera Traps | 1 year 2 months ago | |
Ah yes, these must have broken when we moved over to our new site. They should work now - thanks for flagging! |
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Camera Traps | 1 year 2 months ago | |
Indeed, I'll be there too! I like to meet new conservation friends with morning runs, so I will likely organize a couple of runs, maybe one right near the conference, and... |
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Acoustics, AI for Conservation, Autonomous Camera Traps for Insects, Camera Traps, Remote Sensing & GIS | 1 year 2 months ago | |
Hi everyone! The Fine Grained Visual Categorization Workshop (FGVC) is hosting its 10th rendition at CVPR this June in Vancouver. A huge... |
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AI for Conservation, Camera Traps, Marine Conservation | 1 year 2 months ago | |
Yes, but for our needs that are not powerful enough |
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Acoustics, Build Your Own Data Logger Community, Camera Traps, Emerging Tech, Open Source Solutions | 1 year 2 months ago | |
Thank you so much for your reply! I'll look in to this now :) |
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Acoustics, Autonomous Camera Traps for Insects, Camera Traps, Data management and processing tools, Drones, Remote Sensing & GIS, Software and Mobile Apps | 1 year 2 months ago | |
The eVorta website is still VERY empty but will be worth keeping an eye out for for sure. At first, from the notes above, I thought that this was Edge AI but in the article linked... |
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Camera Traps, Connectivity | 1 year 2 months ago | |
Hey there! Not sure what your funding constraints are but I have been using Reolink Go PT, which is solar powered. This model has been discontinued. However they have an upgraded... |
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Camera Traps | 1 year 2 months ago | |
We have made available our underwater videos on YouTube as a playlist https://www.youtube.com/playlist?list=PLnhVZKKy8WkZKriCIV6r7upWhHNVrU_7L It's about 1.113 short video... |
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AI for Conservation, Camera Traps, Data management and processing tools, Marine Conservation | 1 year 3 months ago | |
Hi Steph, This should be a simple project. Recently I came across a website with a sample video I am not sure whether it was from the wild Labs website. Where a camera is... |
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AI for Conservation, Camera Traps | 1 year 3 months ago |
Stereoscopic Camera Project
24 August 2020 1:02pm
28 August 2020 3:43pm
This is awesome, Tom! I think it would definitely be really helpful for individual identification of animals, as the 3D would give you a better perspective on distinctive markings, coloration, size, etc.
29 August 2020 12:25am
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 to be a long distance apart or closer together too which means animals right up close or really far away can be identified easier. It also means that you can have the vision of a mouse or an elephant .. or a lemur!
Designing a Camera Mount with FLIR and WWF
24 August 2020 12:00am
Laure Joanny Reviews: Tech Tutors' How Do I Repair My Camera Traps?
20 August 2020 12:00am
7 October 2022 6:13pm
Metal Detecting Sensors for Anti-Poaching
10 August 2020 12:00am
Model Question: CT Detection angle and Field of View
24 June 2020 3:50pm
31 July 2020 10:49am
Hi Hana,
https://www.trailcampro.com/pages/trail-camera-detection-field-of-view-angle
https://www.trailcampro.com/pages/how-why-we-test-trail-cameras
Trailcamerpro.com have the above details. They measure field of view with a ruler at a set distance and some maths. Detection angle is harder and one way is to do a slow walk test, a foot every 20 seconds, across the cameras view and work out where the camera first captures images and then map this back to the field of view.
Hope this helps,
Sam
31 July 2020 5:17pm
Hi Hana, I know for Bushnell the manual has the FOV, it should be 50 degrees for yours. All the manuals are online so you just have to find your model. https://www.bushnell.com/bu-manuals.html
As for the detection radius I agree with looking at trailcampro, to see if they've tested your model.
4 August 2020 9:55am
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://www.researchgate.net/project/A-realistic-reproducible-and-rigorous-test-for-wildlife-camera-trap-performance
Event: StreamingScience's #Tech4Wildlife Thursdays
3 August 2020 12:00am
Tracking Wild Reptiles, Amphibians, And Their Temperatures
31 July 2020 12:00am
15 September 2023 11:02pm
16 October 2023 4:07pm
Automated Fish Identification and Abundance Using Artificial Intelligence
28 July 2020 12:00am
BearID To Go
21 July 2020 12:00am
How do I build bespoke conservation technology?
20 July 2020 12:00am
How do I repair my camera traps?
13 July 2020 12:00am
Tech Tutors: How do I get started using ML for my camera traps? Building Accurate Project-Specific Models
25 June 2020 12:02am
25 June 2020 6:01pm
26 June 2020 2:32pm
Hi everyone!
We've now posted Sara's session to our youtube channel, and I've also popped it up the top of this thread.
The collaborative notes worked really well! I've now updated them to capture what happened in the chat - it should be a helpful companion to go alongside the recording. The notes have links, projects, and key discussions we saw in the chat, and summarise the questions Sara coverd in the discussion as well as the Qs we weren't able to get to (40mins overtime was our limit!). If your question was one of the outstanding ones and you'd like to have it answered, please drop it in the discussion below.
The notes now also have the participant check ins (such an awesome range of places, projects and interests!) - I'm sharing these as seeing what other people are doing might help you connect with each other. If you see someone you want to connect with, try and find them using our member direcyour people tab. If you can't, email Ellie and she will see if that person is happy to hear from you before connecting you.
Reminder, registration is open for Carlos' tutorial next week: How do I perform automated recordings of bird assemblages? Register here.
Thanks everyone!
Steph
2 July 2020 8:58pm
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 develop high schooler’s interest in AI?
Era of the Condor: A Species' Future in Recovery (Part 3)
2 July 2020 12:00am
Era of the Condor: A Species' Future in Recovery (Part 2)
25 June 2020 12:00am
Seeking feedback: draft principles for responsible use of conservation surveillance technology
9 June 2020 6:22pm
From Autonomous Cars to Aqualink: Developing a Reef Monitoring System
9 June 2020 12:00am
How do I get started using Machine Learning for my camera traps?
9 June 2020 12:00am
Event: Arm’s AI Virtual Tech Sessions
9 June 2020 12:00am
Repairing Camera Traps
28 November 2019 11:20am
14 December 2019 8:50pm
Hi Rob, Dave and all,
So glad to see and join an active conversation on this. I am not directly using camera traps in my work but the lifetime of conservation technologies is something I have been thinking about and I am keen to get involved in finding solutions.
Could a Google spreadsheet like this one help identify those who are interested and the extent of the problem/most common issues ? If there is interest in participating, events on the Restart Project model Alasdair mentioned would be great places to get a sense of the most common faults and potentially create tutorials for those Level 1 repairs.
14 December 2019 8:59pm
Hi Laure,
Firstly, a great article and a big part of the inspiration behind the idea to reuse, repair and 'upcycle' devices like camera traps. Thanks so much for the links also. The Google Sheet is a great idea and thanks for building it! I recently posted a Twitter poll to find out the most common cameras being used so we can make sure to cover their assessment. And the Restart Project looks amazing! I love it. I've fallen a bit behind with a couple of other things, but looking forward to getting back to the broken camera hacks soon.
Cheers,
Rob
8 June 2020 5:47pm
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'll be co-presenting. Do join then if the topic is still of interest! Also, if you've got repair tips you'd be willing to share on this webinar, possibly as a short step by step video, please get in touch.
Diagnosing the cause of malfunctions is a recurring theme on this thread but are there other issues you would like to learn more about or malfunctions you encounter regularly? I created this spreadsheet a while back to get an idea of what the most common camera models and failures were. if you are interested and have a couple minutes, could you contribute to it? It would really help make the tutorial webinar as focused and relevant as possible and maybe create more tutorials and ressources at a later stage.
Announcing the 2020 CLP Team Award Winners
8 June 2020 12:00am
Innovator Interview: Hack the Poacher
4 June 2020 12:00am
Competition: 2020 Hackaday Prize
26 May 2020 12:00am
Free underwater camera units
10 January 2020 10:06pm
19 May 2020 11:23am
Is this offer still open
WILDLABS Tech Tutors: Season One
19 May 2020 12:00am
Era of the Condor: A Species' Future in Recovery
5 May 2020 12:00am
Competition: iWildCam 2020
4 May 2020 12:00am
Guidelines or Protocols for Camera Trapping Monitoring of Eurasian Otters?
20 April 2020 10:55am
28 April 2020 3:05pm
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 approach. You can stratify habitats along streams and flowing water bodies and place camera traps along stream banks especially where there are reed beds etc.
WILDLABS Community Call Recording: Rainforest X-PRIZE
30 March 2020 12:00am
Protocols for IDing big batches of camera trap data
5 March 2020 10:38am
19 March 2020 10:01am
Hi Morgan and Tim,
Thank you so much for these resources, I will go through these and get back to you with any questions.
Best,
Michelle
28 March 2020 6:22pm
Hi Michelle,
I had a group of undergrads help me with a 40,000-image dataset a few years back. We used the TEAM network Wild.ID program, so each photo that was tagged indicated who tagged it. That was helpful for checking quality later on. For our common, unmistakeable species (e.g. whitetail deer), I didn't require a second identification, but for more challenging groups (foxes, mustelids), I would often have a second person review the ID, or do it myself. Later on, I had a student go through all the tagged images of a particular species (gray squirrel, etc.) and verify the first ID. I found that some of the undergrads were very reliable in their ability to ID the species, whereas some other students needed to have their work checked more meticulously. I later thought of the idea of building a training set of say, 100 photos, to have each student run through to get a sense for their familiarity with the species, but also their ability to handle the more tricky scenarios that come up often in camtrap datasets.
Most folks could only handle 1-1.5 hours of continuous tagging. I had a few enthusiasts who would go for 2 hours straight, but that was rare. We logged effort in a shared google spreadsheet, where the students noted the dataset they worked on, any issues that came up, and any individual images that needed a second check.
I also tried to set up a more ergonomic workstation for folks (multiple monitors raised up, ergonomic mouse, etc.). Since the motion is so repetetive, easy for folks to develop carpal tunnel syndrome.
If you are dealing with a much larger dataset, you might want to look into more sophisticated AI/automation methods, but for a smaller project, this was doable. If you have a university connection, you can often recruit folks through chapter groups of The Wildlife Society. Student are often eager to gain experience, although many don't stick with it once they find out how unglamorous it is!
Good luck!
-Andy
29 March 2020 5:33am
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 field?
Very interesting work.
Thanks,
-harold
Webinar: Citizen Science Online
26 March 2020 12:00am
24 August 2020 1:21pm
Should have posted this up first, but here's an earlier case prototype that I quickly put together to test its durability outside in the elements. It worked quite well, even when raining. Always save your old compost bags, very useful for waterproofing things (unless they have those tiny holes in!)