Camera Traps / Feed

Looking for a place to discuss camera trap troubleshooting, compare models, collaborate with members working with other technologies like machine learning and bioacoustics, or share and exchange data from your camera trap research? Get involved in our Camera Traps group! All are welcome whether you are new to camera trapping, have expertise from the field to share, or are curious about how your skill sets can help those working with camera traps. 


Cuddelink Camera Issue?

I just wanted to see if anyone else was having an issue with Cuddelink cameras sometimes emailing you super old images. Like for example, when we went out in March to change the...

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Scientists step up hunt for ‘Asian unicorn’, one of world’s rarest animals

The saola, also known as the 'Asian unicorn,' remains one of the world's most elusive and rare animals. Conservation organizations, such as the Saola Working Group, operating in Laos and Vietnam, are conducting extensive searches using camera traps and exploring new methods like training dogs to detect saola signs and developing rapid DNA field test kits in order to save this remarkable creature from extinction.


Camera trap pics of rare species in Vietnam raise conservation hopes

Camera traps installed in Vietnam's Phong Dien Nature Reserve have yielded remarkable images of rare and endangered species, igniting optimism for biodiversity conservation in the region. Among the captivating photographs are sightings of muntjac deer, the crested argus, Annamite striped rabbit, and Owston's palm civet. The camera trap images serve as a testament to the presence of these elusive creatures, fueling hope for their conservation.


What are the waterfowls?

I took photos and videos about a lovely couple who has got a new family at Ducks Lock along Oxford Canal. Can anyone tell me the name of waterfowl.

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Collar Tracking vs. Camera Traps for Monitoring Mexican Wolves

This article compares and contrasts the success of their wolf monitoring efforts with both collars and camera traps. The camera traps were intended to help researchers identify individual wolves within the population, but they experienced difficulties identifying both uncollared wolves and those with marked collars.


Camera Trap Data Management Survey

The Wildlife Insights team is running a survey to learn more about camera trap data management practices, and in particular to understand potential barriers to data sharing, as...

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AI Animal Identification Models

Hi Everyone,I've recently joined WILDLABS and I'm getting to know the different groups. I hope I've selected the right ones for this discussion...I am interested in AI to identify...

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Thanks Dan, that is very helpful. No zebras here but I did see four deer wandering through the streets this morning. Quite wild at times here!

I am totally willing to try an image classifier if it reports multiple objects it identifies in a scene. I will give this a go.

I think 1 fps would be quite acceptable actually, and in some perspective actually advantageous in reducing how much data is getting logged.

I tried upgrading my existing object detector model to YOLOv8 following the links you sent, but I don't think it is possible to upgrade the model on the framework I'm using (ml5js) so I think I will have to try a different framework.

Thank you.

Hi David

It appears that you have been looking for existing models, however, most existing models are trained on either COCO or some other very generic dataset. So, if you want to identify just animals, you may be better off training your own model. It seems no one in this thread mentioned yet that it is possible to do transfer learning on existing models, which keeps most of the "visual part" of the model as is, but just changes the classification part so it can identify other things. This way you can take an existing model trained on COCO and in a fraction of the time it takes to train a full model, just retrain that for your animals.

Also have a look at your requirements for the inferencing stage. Some models take long in training but are superfast in inference and others are slow in both cases but very accurate, etc. If you want semi-realtime inferencing, you are probably looking at single shot detectors (SSD), and not RCNNs.

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Congo Basin activity?

greetings - I am helping coordinate a visit by the incoming director of national parks for the Democratic Republic of the Congo (DRC) in mid-late June. He is very interested to...

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i sent you a PM regarding this, feel free to contact me however is most convenient for you -




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Indigenous groups working with camera traps in Latin America

Does anybody work with or know of Indigenous groups in Latin America who are proficient with camera trapping and using cam trap data for conservation/management action? A...

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Happy to put you in contact with some of my grantees working in Mexico who have extensive experience in capacity building for indigenous communities focused in species monitoring, including: Eco-Creando Soluciones, AC, Bosque Antiguo, AC, Bioconciencia, AC. Let me know.



I've heard that Alianza Ceibo and Amazon Frontlines use camera traps in the Amazonian regions of Ecuador, Colombia, and Peru to monitor poaching and land encroachment. You can reach out to them directly or I can put you in touch with one of their program managers if you'd like (I only have her # and don't want to post her personal info directly on here though).

Great, thank you both! I'll follow up for introductions/ contact info

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Camera traps, AI, and Ecology

3rd International Workshop in Jena, Germany (7. - 8. September 2023)

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Are you ready for the event next week!? 17 talks, 4 sessions, 4 invited speakers - check out the schedule if you want more information:...
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Analyze difference in time events in camera trap data

We are studying how foxes and birds feed from feeders aimed at Livestock Protection Dogs in Tierra del Fuego. We want to look at time between visits to assess dependence of visits...

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Adrían - You might try looking at the methods for analyzing temporal interactions described in these two papers. These will hopefully provide you a starting point into the literature. Best wishes - Russ

Rahel Sollmann. 2018. A gentle introduction to camera-trap data analysis. African Journal of Ecology.

Justin P Suraci, et al. 2022. Beyond spatial overlap: harnessing new technologies to resolve the complexities of predator–prey interactions. Oikos.

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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Recommendations needed: software for collating camera trap images

Just looking for recommendations for collating camera trap images. We will be retrieving 30 cameras in coming weeks and would like to use a program to upload the SD cards directly...

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Hey Sami! Not sure what their needs are at WildlifeInsights. But would love to contribute in any capacity. I'm a software developer with a Masters in Zoology and experience Wildlife research. I have worked on several project integrating with TensorFlow and other ML models-including ChatGPT. Any chance they are looking for folks to staff their venture? Cheers!


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Who's going to ESA in Portland this year?

So who is going to be at the Ecological Society of America meeting this year in Portland, August 6-11th?It will be my first time at the conference, so I won't know many people...

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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 one somewhere in a nearby park where we can look for wildlife.  The latter would probably be at an obscenely early hour, so we can drive somewhere, ideally see elk (there are elk within 25 minutes of Portland!), and still get back in time for the morning sessions.

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AI for European Wildlife Challenge

In this Challenge, we will build computer vision models to identify different species of European wildlife on camera trap images, to improve population monitoring.

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For everyone who's still on the fence: This is the last week you can apply.
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Global shortage of Raspberry Pis - What are the alternatives

So, there is a global shortage of Raspberry Pis, the open source micro-computer that has been popular amongst open hardware designers and hobbyists alike. Like...

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Have you considered Arduinos?

UPDATE: The Banana Pi didnt work out for us as it was not possible to track back all the components and ensure that they were responsibly sourced. The Rock board did work for us and we were able to port our system onto this. We will be rolling out units using this over the summer. It also looks like Raspberry Pis are coming back on line and we were able to secure a bulk order for deliver mid-summer

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Exploring storage options for mass data collection

Hi all. I'm currently exploring options for data storage en masse. With our project we will be collecting 24hr hydrophone data, drone video 6hr per day, photography &...

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Hi Adam!

I mostly live within the ecoacoustics space so I'll just speak on the hydrophone part of your request; Arbimon is a free web/cloud-based platform with unlimited storage for audio files. We've got an uploader app as well for mass-uploading lots of files. There's also a bunch of spectrogram visualization/annotation tools and analysis workflows available. It's AWS running under the hood.

I have some experience working directly with AWS & Microsoft Azure, and I've found personally that AWS was more user-friendly and intuitive for the (fairly simplistic) kinds of tasks I've done.  

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Camera trap. Snow Leopard reserve Kyrgyzstan. Solar+4G+Video. System upgrade.

Hi everyone, My name is Luciano Foglia. I'm working on a project in Central Asia where we need to provide internet access to an area of a mountain range with very extreme...

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Hi Kumar

I wanted to contact you about the possibility of collaborating in the project I mentioned before. Where is good to contact you? [email protected] ? You can also email me from our website 

Looking forward from hearing from you

Luciano Foglia



Look into evorta.  

It is an Australian company that is doing exactly this.  

You can.

  • Have an offline camera that can be trained to ID specific species, 
  • send you just the photos of those species via satellite 
  • Or if you can get 4g send you all the photos to their online database. 
  • They also have an online database that allows you to analyse the data in real time. 
  • They can also hack normal camera traps so they can send photos back to the main unit to process and send valid photos.  That way you only need one ‘smart’ camera.  All the rest can be your exsisting cameras. You just need to use your sd card slot.  

Here is an article here  

 Best to contact him through email.  

I’ll send it to you privately 

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 to it seems that the ML and animal ID happens after 4G download of the images. 

I will just throw a link to relatively recent paper where a standard cameratrap was "hacked" and Edge AI ID could send alerts via Iridium: Real-time alerts from AI-enabled camera traps using the Iridium satellite network and here is more from some of the authors of that paper: 

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