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
St. Lawrence University
Professor of Biology at St. Lawrence University
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PhD Student working on acoustics and hunting in tropical forests
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Im an ecologist, and conservation biologist, working in Ireland at Ulster University. Im interested in using tech in applied contexts and have experience of using camera traps, songmeters, audiomoths and AI.
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- @tkswanson
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San Diego Zoo Global
Research Coordinator II for the Conservation Technology Lab at SDZWA
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M.A.P Scientific Services
Co-founder and Director of M.A.P Scientific Services, South Africa
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University of Nottingham
I'm an artificial intelligence researcher (mostly in the area of neural networks) with a special interest in environmental problems.
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Georgia Institute of Technology
Grad Student
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Zoological Society London (ZSL)
Technical Project Manager in ZSL's Conservation Technology Unit
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- @APendael
- | Mr.
Amos Pendael is a renowned conservation and research specialist with extensive experience in the field of Management Oriented Monitoring Skills (MOMS), remote sensing, and Geographic Information Systems (GIS). With a M.Sc in Natural Resources Assessment and Management.
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- @Netty_Cheruto
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- @jcbotsch
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I'm a population and community ecologist studying the effects of global change on insect populations.
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Natural Solutions
Engineer, Ph.D in Computation Ecology. Interested in developing tools for the massive acquisition of high dimensional data from new technologies (e.g., imaging, omics), their analysis and visualization.
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The incumbent will develop models and metrics that can be used to shape conservation policy using multiple data sources including camera traps, movement data and citizen science concerning the diversity and...
23 April 2024
Careers
The Smithsonian National Zoo & Conservation Biology Institute is seeking a Program Manager to help coordinate multiple organizations in an effort to integrate movement data & camera trap data with global...
22 April 2024
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.
22 April 2024
Watch our interview with pioneering young Tanzanian vulture researcher Vainess Laizer! Her research investigating the breeding success of white-backed vultures in the western corridor of the Serengeti ecosystem using...
16 April 2024
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
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.
14 March 2024
Catch up on the conservation tech discussions and events that happened during World Wildlife Day 2024!
7 March 2024
EcoAssist introduces a free African species identification model for camera trap images, capable of recognising 30 species.
5 March 2024
The primary focus of the research is to explore how red deer movements, space use, habitat selection and foraging behaviour change during the wolf recolonization process.
10 February 2024
Article
An update on @Alasdair and @adanger24's HWC project
11 January 2024
The Conservation Technology Laboratory within the Population Sustainability department is seeking two fellows for summer 2024.
9 January 2024
May 2024
event
October 2024
April 2023
February 2023
Description | Activity | Replies | Groups | Updated |
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AI for Conservation, Camera Traps | 22 hours 37 minutes ago | |
Hi @zhongqimiao ,Might you have faced such an issue while using mega detectorThe conflict is caused by:pytorchwildlife 1.0.2.13 depends on torch==1.10.1pytorchwildlife 1.0.2.12... |
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AI for Conservation, Camera Traps, Open Source Solutions | 21 hours 52 minutes ago | |
We use the DJI M30T for this kind of work.For finding heat signals of animals under foliage check out this bit of Austrian UAV developement:You can use their open software on the... |
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Camera Traps, Drones | 1 day 6 hours ago | |
Thanks, and that's a match! All these pictures are from a lab experiment and formated with AmphIdent. We took weekly belly pictures of several larvae. The aim of this google... |
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Camera Traps, Data management and processing tools, Software and Mobile Apps | 2 days 9 hours ago | |
Hi, this is pretty interesting to me. I plan to fly a drone over wild areas and look for invasive species incursions. So feral hogs are especially bad, but in the Everglades there... |
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AI for Conservation, Camera Traps, Open Source Solutions, Software and Mobile Apps | 3 days 2 hours ago | |
Hi everyone!@LashaO and @holmbergius from the Wild Me team at ConservationX Labs gave a superb talk at last month's Variety Hour,... |
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AI for Conservation, Camera Traps | 1 week ago | |
Can't beat Dan's list! I would just add that if you're interested in broader protected area management, platforms like EarthRanger and SMART are amazing, and can integrate... |
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Data management and processing tools, Camera Traps, Conservation Tech Training and Education | 1 week ago | |
Saul Greenberg is a great guy! He has made a few very useful videos regarding the Timelapse/Megadetector integration:https://grouplab.cpsc.ucalgary.ca/grouplab/uploads/... |
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Camera Traps | 1 week 3 days ago | |
EcoAssist is an application designed to streamline the work of ecologists dealing with camera trap images. It’s an AI platform that... |
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Software and Mobile Apps, AI for Conservation, Camera Traps | 3 weeks ago | |
Hi @Alasdair Great to hear from you! Thanks for the comment and for those very useful links (very interesting). And for letting @Rob_Appleby know. I can't wait to hear... |
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Emerging Tech, Camera Traps, Conservation Tech Training and Education | 3 weeks 4 days ago | |
Hello everyone, I'm interested in gathering insights on how the behavior of different species impacts the development and efficacy of... |
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Biologging, Acoustics, Camera Traps, eDNA & Genomics, Emerging Tech, Marine Conservation | 1 month ago | |
Hi Andrew! Great to hear your friend, Scott working in Indonesia! I bet he is working on east region with lot of cool monitor lizards!I use Mavic 2 as well for my crocodile... |
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Camera Traps | 1 month 3 weeks ago |
Tech Tutors: How do I get started using ML for my camera traps? Building Accurate Project-Specific Models
25 June 2020 12:02am
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
Enter the Zooniverse: Try Citizen Science for Yourself!
18 March 2020 12:00am
Testing an Early Warning System to Mitigate Human-Wildlife Conflict on the Bhutan-India Border
11 March 2020 12:00am
Announcing the iWildCam 2020 Camera Trap Kaggle Competition!
10 March 2020 7:08pm
3 Ways Your Conservation Technology Could Become a Shiny Pile of Junk, and How to Avoid It
9 March 2020 12:00am
Project Advice: Average speed camera system
7 March 2020 6:26pm
#Tech4Wildlife 2020 Photo Challenge In Review
4 March 2020 12:00am
Call for Nominations: Tusk Conservation Awards
3 March 2020 12:00am
Hawai'i Conservation Conference
28 February 2020 12:00am
HWC Tech Challenge Update: Thermal Elephant Alert System
17 February 2020 12:00am
Average speed system needed
15 December 2019 9:27am
20 December 2019 1:11pm
Dear Sam,
PS. As a starter we could easily have rumble strips put in to slow traffic down at teh beginning and teh end so that the vehicles would not be flying past your detector.
I do understand this challenge as when collecting data over 700 metre stretches using a stopwatch we tried to catch numberplates with a standard motion camera and unless the vehicles were slow we never got the number plate.
20 December 2019 1:15pm
PPS 4 - 800 should have been 4-8000 THOUSAND
20 December 2019 1:16pm
Hi Gregory,
That is quite shocking to hear that a road could be so detrimental to wildlife. If you were able to place a speed hump or rumble strip where you place the camera you could even embed the metal detecting sensor in them to ensure accurate detection of every vehicle when they are going slower.
Our camera takes a burst of images and this can be set to be quite a quick burst or a slower burst so with a little bit of testing I am sure we could get the numberplates.
I am assuming that a lot of time these collisions happen at night. Would there be a way to have a fixed light at the camera locations as otherwise the cameras can be blinded by headlights and taillights making reading the VRN difficult.
At the moment our system is satellite connected. This does have a relatively high monthly data cost. We are also planning to develop a cellular version but this will require more funding and development time that we have not got yet.
The system is in the final stages of development and we plan to launch it in mid-2020 once it has undergone some prolonged field trials at ZSL sites, so it is not currently available. Final costings are still under review and will be released early next year.
I am sorry that we are not able to provide this capability to you right now.
Have you found any commercially available camera systems? In the UK I believe the automatic number plate recognition cameras placed on gantrys over motorways are called SPECS and a quick google said they are sold by a company called Jenoptik. If you find out how much they are and how they work, perhaps you could update this thread?
Thanks,
Sam
A New Cloud Platform Unveils the Most Diverse Camera Trap Database in the World
17 December 2019 12:00am
25 June 2020 6:01pm
This is a big, important question! I think having traceable DOIs for both datasets and machine learning models is a step in the right direction. GBIF is committed to this and can provide data DOIs, read more detail here and here.