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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. 

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From WICT Workshops to Glasgow: My Journey in Wildlife Conservation and Technology Integration

I’m Eliminatha Ambross, an enthusiastic conservationist who recently participated in the WICT 2023 program in Tanzania. My last update detailed my experiences at the Wildlife Conservation and Information Technology (...

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Congratulations Elina!! Wishing you all the best as you embark on this academic journey. I hope UofG opens more doors to greater conservation tech opportunities .
So proud of you Eliminatha, all the best on your academic journey.
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discussion

Conservation Technology for Human-Wildlife Conflict in Non-Protected Areas: Advice on Generating Evidence

Hello,I am interested in human-dominated landscapes around protected areas. In my case study, the local community does not get compensation because they are unable to provide...

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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:

  1. 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?]
  2. 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.

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. 

 

In that case, you might want to keep an eye on the project from @Lars_Holst_Hansen 



 

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discussion

looking for help

Hello, I am an independent researcher doing my study on assessing the effectiveness of Conservation incentives (Beehives) in deterring problematic animals apart from elephants (...

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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

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New WILDLABS Funding & Finance group

WildLabs will soon launch a 'Funding and Finance' group. What would be your wish list for such a group? Would you be interested in co-managing or otherwise helping out?

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This is great, Frank! @StephODonnell, maybe we can try to bring someone from #Superorganism (@tomquigley ?) or another venture company (#XPRIZE) into the fold!
I find the group to be dope, fundraising in the realm of conservation has been tough especially for emerging conservation leaders. There are no centralized grants tracking common...
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discussion

Time drift in old Bushnell

Hi everyone! Have you ever experienced time drift in the old Bushnell NatureView Cam HD? If so, is there a way to fix it? The camera traps are still working pretty well for...

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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.

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Using drones and camtraps to find sloths in the canopy

Recently, I started volunteering for Sloth Conservation Foundation and learned that it is extremely difficult to find sloths in the canopy  because: 1) they hardly move,...

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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. 

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Introducing The Inventory!

The Inventory is your one-stop shop for conservation technology tools, organisations, and R&D projects. Start contributing to it now!

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Hi @hjayanto ! I've given your account the ability to edit without earning the badge just to save time while we figure out why you aren't getting your Sprout Badge, so you should...
Thank you @JakeBurton . Looks like I wasn't in community base group, instead misunderstood it was the same as thematic group. I have added our organization. Appreciate your help!
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MegaDetector v5 release

Some folks here have previously worked with our MegaDetector model for categorizing camera trap images as person/animal/vehicle/empty; we are excited to announce MegaDetector...

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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?

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Pytorch-Wildlife: A Collaborative Deep Learning Framework for Conservation (v1.0)

Welcome to Pytorch-Wildlife v1.0At the core of our mission is the desire to create a harmonious space where conservation scientists from all over the globe can unite, share, and...

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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: 

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

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careers

Ecologist Postdoctoral Research Fellow

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...

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Newt belly pattern for picture-matching

Hi!We are investigating the ability to use belly pattern of Great crested newts (Triturus cristatus) at larval stage for picture-matching in capture-recapture studies. Do...

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Cool project! (I would definitely match with the second photo on your example). Might be a project that you can run on Zooniverse instead of a Google Form? https://www.zooniverse.org/

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

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)...     

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WILDLABS AWARDS 2024 - No-code custom AI for camera trap species classification

We're excited to introduce our project that will enable conservationists to easily train models (no code!) that they can use to identify species in their camera trap images.As we...

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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. 

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.

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.

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discussion

Camera Trap storage and analyzing tools

Hello everyone I am a current Peace Corps volunteer in Paraguay and am working with a local national park to create a camera trap project. A large part of the project is focused...

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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!

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. 

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