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
- @Sumit_Arora
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Centre for Wildlife Studies
Technology | Sustainability | Biodiversity
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Wildlife Bio in Yukon Territory Canada
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- @otgonbayartm
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Many thanks to WILDLABS. This community aligns precisely with my professional interest in applying IT expertise to nature conservation.

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Aeracoop & Dronecoria
Computer engineer, Drone Pilot, Seed researcher, Wild Tech Maker





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Electronics Engineer working in the development of smart conservation technology solutions.

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A wildlife scientist, focusing mainly in primates conservation & research, Community-based conservation and ecosystems management.
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conservation biologist working primarily in Argentina
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- @meredithspalmer
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Yale University
Conservation, Innovation, Education



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- @Nycticebus_scientia
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MammalWeb.org
Co-founded citizen science camera-trapping project with interest in developing 100% open source wildlife tech. Advocate for open science/open research. Community member of the Gathering for Open Science Hardware.



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Andigena ID+ es una empresa Colombiana dedicada a promover la conservación de la biodiversidad de manera integral a través de la investigación y el desarrollo.
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- @Yitmwa
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A conservation biologist with specialization in wildlife monitoring and community engagement. With experience in deploying camera traps and bioacoustics for mammal and birds monitoring in the Afrotropical environment.
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I put together some initial experiences deploying the new SpeciesNet classifier on 37,000 images from a Namibian camera trap dataset and hope that sharing initial impressions might be helpful to others.
23 April 2025
A nice resource that addresses the data interoperability challenge from the GBIF.
4 April 2025
Conservation International is proud to announce the launch of the Nature Tech for Biodiversity Sector Map, developed in partnership with the Nature Tech Collective!
1 April 2025
The FLIR ONE thermal camera is a compact and portable thermal imaging device capable of detecting heat signatures in diverse environments. This report explores its application in locating wild animals across large areas...
27 March 2025
WWF's Arctic Community Wildlife Grants program supports conservation, stewardship, and research initiatives that focus on coastal Arctic ecology, community sustainability, and priority Arctic wildlife, including polar...
7 March 2025
The Smithsonian’s National Zoo and Conservation Biology Institute (SNZCBI) is seeking an intern to assist with multiple projects related to conservation technology for wildlife monitoring. SNZCBI scientists collect data...
3 March 2025
Article
NewtCAM is an underwater camera trap. Devices are getting deployed worldwide in the frame of the CAMPHIBIAN project and thanks to the support of our kind early users. Here an outcome from the UK.
24 February 2025
Osa Conservation is launching our inaugural cohort of the ‘Susan Wojcicki Research Fellowship’ for 2025, worth up to $15,000 per awardee (award value dependent on project length and number of awards given each year)....
10 February 2025
Did someone read/know this book?
9 February 2025
The worst thing a new conservation technology can do is become another maintenance burden on already stretched field teams. This meant Instant Detect 2.0 had to work perfectly from day 1. In this update, Sam Seccombe...
28 January 2025
This leads to an exciting blog we did recently, it also includes a spatial map indicating elephant movement tracks of an orphaned elephant who self released himself into the wild (Kafue National Park). Cartography was...
28 January 2025
The Zoological Society of London's Instant Detect 2.0 is the world's first affordable satellite connected camera trap system designed by conservationists, for conservationists. In this update, Sam Seccombe describes the...
21 January 2025
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Description | Activity | Replies | Groups | Updated |
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We have spent the past 9 months taking the lessons learnt from the AMI system to build an automated moth monitoring system... |
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Autonomous Camera Traps for Insects, Camera Traps | 12 hours 12 minutes ago | |
Lively and informative discussion, I would very much like to contribute if there is some active development work with regards to this. I have recent experience with using... |
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Data management and processing tools, Camera Traps, Software Development | 5 days 3 hours ago | |
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Latin America Community, Acoustics, AI for Conservation, Camera Traps, Drones, Early Career | 2 weeks 5 days ago | ||
@LukeD, I am looping in @Kamalama997 from the TRAPPER team who is working on porting MegaDetector and other models to RPi with the AI HAT+. Kamil will have more specific questions. |
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AI for Conservation, Camera Traps | 2 weeks 6 days ago | |
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... |
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AI for Conservation, Camera Traps | 3 weeks ago | |
Interesting. Thanks for the explanation. Nice to hear your passion showing through. |
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AI for Conservation, Camera Traps, Data management and processing tools, Open Source Solutions, Software Development | 3 weeks 2 days 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... |
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Camera Traps | 3 weeks 2 days ago | |
📸 Do you use camera traps in your work? Take part in our survey!Hi everyone! I’m currently a final-year engineering... |
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Camera Traps, AI for Conservation, Data management and processing tools, Open Source Solutions, Software Development | 3 weeks 3 days ago | |
That's great! |
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Camera Traps | 4 weeks 1 day ago | |
True, the US ecosystem is a challenging space right now, for basically all sectors. We should not let the US chaos prevent us from engaging with opportunities in other... |
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AI for Conservation, Camera Traps, Connectivity, Drones, Emerging Tech, Ethics of Conservation Tech, Marine Conservation, Sensors | 1 month 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... |
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Connectivity, Camera Traps | 1 month 1 week 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... |
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Camera Traps, AI for Conservation, Open Source Solutions | 1 month 1 week ago |
Looking to understand the impact that flir thermal camera has to the environment
7 July 2024 9:05am
Enter to win a free thermal camera!
26 June 2024 5:38pm
From WICT Workshops to Glasgow: My Journey in Wildlife Conservation and Technology Integration
14 June 2024 9:43am
17 June 2024 1:58pm
17 June 2024 7:43pm
Conservation Technology for Human-Wildlife Conflict in Non-Protected Areas: Advice on Generating Evidence
22 January 2024 11:36pm
4 February 2024 8:16am
Hi Amit,
The most important thing is that the livestock owners contact you as soon as possible after finding the carcass. We commonly do two things if they contact us on the same day or just after the livestock was killed:
- Use CyberTracker (or similar software) on an Android smart phone to record all tracks, bite marks, feeding pattern and any other relevant signs of the reason for the loss with pictures and GPS coordinates. [BTW, Compensation is a big issue -- What do you do if the livestock was stolen? What do you do if a domestic animal killed the livestock? What if it died from disease or natural causes and was scavenged upon by carnivores afterwards?]
- In the case of most cats, they would hide the prey (or just mark it by covering it with grass or branches and urinating in the area). In this case you can put up a camera trap on the carcass to capture the animal when it returns to its kill (Reconyx is good if you can afford it - we use mostly Cuddeback with white flash). This will normally only work if the carcass is fresh (so other predators would not be able to smell it and not know where it is yet), so the camera only has to be up for 3-5 days max.
This is not really high-tech, but can be very useful to not only establish which predator was responsible (or if a predator was responsible), but also to record all the evidence for that.
13 June 2024 8:58pm
Hey Amit,
This is a great question; from our work, we've seen people do a couple of things. We've even seen people using Ring doorbell footage in urban areas as evidence.
The best thing we've seen is matching the community needs with existing infrastructure:
- Are there existing cameras you can leverage, like the doorbell cameras?
- Can public participation monitoring service this, i.e. public submitted photos and videos?
It also totally depends on the wildlife species you're working with, the interaction, damages, etc. If you've found any good solutions, let me know. I'd love to share that information with our clients here who have constant bear problems.
14 June 2024 9:09am
In that case, you might want to keep an eye on the project from @Lars_Holst_Hansen
I have been working hard on this camera based polar bear alarm with Kim… | Lars Holst Hansen | 17 comments
I have been working hard on this camera based polar bear alarm with Kim Hendrikse and other collaborators including Zoologisk Have in Copenhagen - where the system is now beeing tested. I hope to field test it at Zackenberg Research Station next year. | 17 comments on LinkedIn
Fully funded PhD in AI biodiversity monitoring
11 June 2024 1:07pm
€4,000 travel grants for insect monitoring an AI
6 June 2024 4:49pm
looking for help
5 June 2024 9:38am
5 June 2024 4:19pm
Hi Agripina!
I have always used Browning, and I have found the basic models to be perfectly adequate, using only 6 AA batteries (not 8 like the majority of camera traps). Now I am using the model BTC-8E, which has been a great success due to its excellent definition.
I am from Chile, and I know of a company that imports them. Perhaps you should look for someone in your country that does the same, because importation and customs duties are often a headache.
I recommend you to visit trailcampro.com to read reviews from customers on different brands and models of camera traps.
I hope this information is helpful
5 June 2024 8:32pm
Hii Carolina
Thank you so much for the usefull information.
5 June 2024 8:34pm
Hi Alex
Thank you so much for the imput 🙏
New WILDLABS Funding & Finance group
5 June 2024 3:24pm
5 June 2024 4:14pm
6 June 2024 1:38am
6 June 2024 4:16am
Time drift in old Bushnell
24 May 2024 7:41am
31 May 2024 12:21pm
Depending on how much drift there is it may be a fixed offset caused by the timer not restarting until you have finished puttin gin al the settings. You set the time, then do all the the other settings for a couple of minutes, then exit settings and the timer starts from the time you set, in other words wto minute slow. The apparent drift will be short and fairly consistent, and will not increase with time (it is a bias). The solution is to leave the time setting to last and exit set p immediately after you enter the time.
If it is genuine drift then you can correct for it to an extent by noting the time on the camera and on an accurate timepiece when you retrieve the images. If you want to get fancy you can take an image of a GPS screen with the time on it, and compare it to the time stamp on the image.
Share Your Work in a Conservation Technology Video
17 May 2024 9:06pm
4th International Workshop onCamera Traps, AI, and Ecology
9 May 2024 1:00pm
Using drones and camtraps to find sloths in the canopy
18 July 2023 7:39pm
3 May 2024 6:48pm
Thank you for the tip, Eve! In fact, in the area where the foundation works, there clearly are dry seasons, the past few years much drier than normal, where trees loose their leaves a lot.
6 May 2024 4:29pm
Yes, if the canopy is sparse enough, you can see through the canopy with TIR what you cannot see in the RGB. We had tested with large mammals like rhinos and elephants that we could not see at all with the RGB under a semi-sparse canopy but were very clearly visible in TIR. It was actually quite surprising how easily we could detect the mammals under the canopy. It's likely similar for mid-sized mammals that live in the canopy that those drier seasons will be much easier to detect, although we did not test small mammals for visibility through the seasons. Other research has and there are a number of studies on primates now.
I did quite a bit of flying above the canopy, and did not have many problems. It's just a matter of always flying bit higher than the canopy. There are built in crash avoidance mechanisms in the drones themselves for safety so they do not crash, although they do get confused with a very brancy understory. They often miss smaller branches.If you look in the specifications of the particular UAV you will see they do not perform well with certain understories, so there is a chance of crashing. The same with telephone wires or other infrastructure that you have to be careful about.
Also, it's good practice to always be able to see the drone, line-of-sight, which is actually a requirement for flight operations in many countries. Although you may be able to get around it by being in a tower or being in an open area.
Some studies have used AI classifiers and interesting frameworks to discuss full or partial detections, sometimes it is unknown if it is the animal of interest. I would carefully plan any fieldwork around the seasons and make sure to get any of your paperwork approved well before the months of the dry season. It's going to be your best chance to detect them.
7 May 2024 1:49am
Thank you for elaborating, @evebohnett ! And for the heads ups!
Travel grants for insect monitoring an AI
3 May 2024 5:20pm
The Inventory User Guide
1 May 2024 12:46pm
Introducing The Inventory!
1 May 2024 12:46pm
22 July 2024 10:55am
23 July 2024 2:05pm
23 July 2024 2:53pm
Hiring Chief Engineer at Conservation X Labs
1 May 2024 12:19pm
MegaDetector v5 release
20 June 2022 9:06pm
23 April 2024 9:43pm
Hi @dmorris,
might you have encountered this issue while working with Mega detector v5?
The conflict is caused by:
pytorchwildlife 1.0.2.13 depends on torch==1.10.1
pytorchwildlife 1.0.2.12 depends on torch==1.10.1
pytorchwildlife 1.0.2.11 depends on torch==1.10.1
if yes what solution helped?
23 April 2024 10:38pm
I'm sorry, I don't use PyTorch-Wildlife; I recommend filing an issue on their repo. Good luck!
23 April 2024 10:38pm
[oops, the same reply got submitted twice and there doesn't seem to be a "delete" button]
Pytorch-Wildlife: A Collaborative Deep Learning Framework for Conservation (v1.0)
21 February 2024 10:30pm
26 February 2024 11:58pm
This is great, thank you so much @zhongqimiao ! I will check it out and looking forward for the upcoming tutorial!
17 April 2024 11:07am
Hi everyone! @zhongqimiao was kind enough to join Variety Hour last month to talk more about Pytorch-Wildlife, so the recording might be of interest to folks in this thread. Catch up here:
23 April 2024 9:48pm
Hi @zhongqimiao ,
Might you have faced such an issue while using mega detector
The conflict is caused by:
pytorchwildlife 1.0.2.13 depends on torch==1.10.1
pytorchwildlife 1.0.2.12 depends on torch==1.10.1
pytorchwildlife 1.0.2.11 depends on torch==1.10.1
if yes how did you solve it, or might you have any ideas?
torch 1.10.1 doesn't seem to exist
Ecologist Postdoctoral Research Fellow
23 April 2024 4:32pm
Program Manager: Integrating movement and camera trap data with international conservation policy
22 April 2024 10:16pm
Postdoc: Biologging & Camera Trap Data Integration
22 April 2024 10:10pm
Newt belly pattern for picture-matching
18 April 2024 3:57pm
19 April 2024 10:31am
19 April 2024 4:14pm
Hi Robin this is a great idea! Have been thinking about approaching the community for quiz questions. Will reach out to Xavier to ask if we can use it or if he wishes to run it on next Wednesdays VH
22 April 2024 11:27am
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 form is to validate (by comparing answers with the lab reference image base) picture-matching by human is reliable although the change of pattern can be verry quick at this life stage.
If validated there will be the need to improve existing pattern-matching solutions for in situ observations of larvae, for instance with ML and/or Human Learning (thanks Zooniverse)...
WILDLABS AWARDS 2024 - No-code custom AI for camera trap species classification
5 April 2024 7:00pm
10 April 2024 3:55am
Happy to explain for sure. By Timelapse I mean images taken every 15 minutes, and sometimes the same seals (anywhere from 1 to 70 individuals) were in the image for many consecutive images.
17 April 2024 5:53pm
Got it. We should definitely be able to handle those images. That said, if you're just looking for counts, then I'd recommend running Megadetector which is an object detection model and outputs a bounding box around each animal.
21 April 2024 5:19pm
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 is a big invasion of huge snakes. In various areas there are big herds of wild horses that will eat themselves out of habitat also, just to name a few examples. Actually the data would probably be useful in looking for invasive weeds, that is not my focus but the government of Canada is thinking about it.
Does your research focus on photos, or can you analyze LIDAR? I don't really know what emitters are available to fly over an area, or which beam type would be best for each animal type. I know that some drones carry a LIDAR besides a camera for example. Maybe a thermal camera would be best to fly at night.
Faces, Flukes, Fins and Flanks: How multispecies re-ID models are transforming Wild Me's work
17 April 2024 11:10am
Camera Trap storage and analyzing tools
16 April 2024 5:15pm
16 April 2024 7:17pm
I don't have an easy solution or a specific recommendation, but I try to track all the systems that do at least one of those things here:
https://agentmorris.github.io/camera-trap-ml-survey/#camera-trap-systems-using-ml
That's a list of camera trap analysis / data management systems that use AI in some way, but in practice, just about every system available now uses AI in some way, so it's a de facto list of tools you might want to at least browse.
AFAIK there are very few tools that are all of (1) a data management system, (2) an image review platform, and (3) an offline tool. If "no Internet access" still allows for access to a local network (e.g. WiFi within the ranger station), Camelot is a good starting point; it's designed to have an image database running on a local network. TRAPPER has a lot of the same properties, and @ptynecki (who works on TRAPPER) is active here on WILDLABS.
Ease of use is in the eye of the beholder, but I think what you'll find is that any system that has to actually deal with shared storage will require IT expertise to configure, but systems like Camelot and TRAPPER should be very easy to use from the perspective of the typical users who are storing and reviewing images every day.
Let us know what you decide!
17 April 2024 1:55am
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 with camera-trapping (amongst other) platforms.
Starting a Conservation Technology Career with Vainess Laizer
16 April 2024 1:34pm
Using the multivariate Hawkes process to study interactions between multiple species from camera trap data
15 April 2024 3:00pm
Research Assistant, Lion Landscapes in Nanyuki
11 April 2024 9:49am
Comparing local ecological knowledge with camera trap data to study mammal occurrence in anthropogenic landscapes of the Garden Route Biosphere Reserve
9 April 2024 7:09pm
Online training workshop: camera trap distance sampling, 27-31 May 2024.
6 April 2024 4:00am
17 June 2024 8:05am