Hi @tom_august this is a very important topic given the global shortages we are seeing. I tend to use really low power micros rather than Pis for my stuff if I can, but I'd be very interested to hear about alternatives. I take it you are doing some reasonably heavy processing given the need for 4Bs? I have a few old 3s you are welcome to. A great list from @PshemekZ there. I don't know much about these: 

But didn't see them in the list. 

 @Freaklabs will likey have some ideas too. Looking forward to hearing more.

Cheers,

Rob

Agreed, I was going to ask if you've looked into acoustic or also seismic sensors? E.g., I recently came across this paper using seismic sensors and a helpful little storymap overview of remote sensing tools for elephant monitoring, but I'm sure others here provide more insight. Also, @Alasdair / Arribada have worked on an elephant detection/early warning system using thermal sensors, not sure what the progress is but could be a helpful model on the real-time alert front!

Why would you want to avoid alerting the rangers ?

You don't need high tech for this; elephants leave very obvious tracks and sign. 

Hi Tyler,

Would like to introduce you to Ceres Tags products

• Ceres Tags products come in boxes of 5, 10 and 24. 
• There are some software partners such as Earthranger, Mapipedia and possibly CiboLabs that would be able to assist you with your mapping vegetation requirements
• Ceres Tag does not require any towers, base stations and infrastructure. This allows you to see any movements from the heard outside of their normal herd (boundary alerts), and you will not be disturbing any of the flora and fauna with infrastructure set up. 
• For the timing you are looking at, Ceres Wild pings directly to satellite 24 times a day. For Ceres Trace and Ceres Ranch there are 4 within 24 hours. Taking into consideration, when you set up alert areas, you will get them directly to your phone/laptop via your software of choice
• Ceres Ranch is a reusable tag that has just been launched. Use it on this project, remove the tag and then use the tag on your next project
• The software you choose will assist with the history of your animal movements. Ceres Tag is integrated with 11 software partners and in-development with 18 software partners https://cerestag.com/pages/software-partners
• Understanding it is a short-term project, you would be able to use Ceres Tags products without the additional expense of setting up and removing infrastructure- towers, gateways
• With Ceres Tag, you are purchasing the box of tags and picking a suitable software to deliver the information you require. On average, a box of 10 Ceres Trace Tags, is the same as 1 LoRaWAN tower. 

Excellent! Let us know if you think this could be of use @asiem 

Cheers,

Rob

Hi Sebastian,

  How about using webcams, like this one in the Adriatic (if high enough detail): 

If not, it might be worth contacting https://reefish.umontpellier.fr/ who are based in Montpellier. They do marine research, (I think including some fish ID machine learning stuff too), so may have done work locally?

Cheers

Not sure if audio data would be of any use to you, but if so FishSounds has some - I just tried their search function and there is a location tag for 'Mediterranean & Black Sea'. 

You might try reaching out to the folks at Name that Fish, Innovasea, or perhaps an entity on the Fisheries Tech list would have Mediterranean stuff? 

Hi,

If this is still relevant, you can try reaching out to the Belmaker lab, they do BRUV surveys in the eastern Mediterranean and have hours of video, some of it I believe is annotated. Particularly, Shahar might be helpful, he's the PhD student running point on the project.

Hi Roland,

This is really amazing, great to hear about your set-up! I'm just wondering what the overall cost was to set up this system? Just thinking in terms of setting up something similar in other parks and what they should expect with regard to price. Would also be great to hear about the overall effort, e.g., hours/team members required. It would be great to have this act as a blueprint for other organizations/research stations wishing to deploy a similar system within their respective national parks/areas/etc.! 

Hi Rolland,

Interested too, but why did you choose SigFox (a private network) rather than LoRa (open network)? 

Sigfox currently has some financial troubles that, don't know what it will become in the long term.

Has anyone tried running the MegaDetector model through an optimizer like Amazon SageMaker Neo? It can reduce the overall memory footprint and possibly speed up inference on devices like Raspberry Pi and Jetson.

Jamie,

I have been using a 12-card Lexar Professional Workflow system for several years to process images from 24 trail cameras.  The system has 4 bays, with 3 card readers per bay.  I wrote software to automatically download and rename the images using metadata read from the info banner burned into the images by the camera.  (Alternatively, the software can use the Exif metadata attached to the image.)  The software is described in a recent Wildlife Society Bulletin: 

The software is available on github:  

Don't be put off by "time-lapse recordings" - it works on still images also.

Regards,

Mike Hilton

Have a look at @tessa_rhinehart 's TechTutors on scaling up acoustic surveys. This is addressed at 11 min: 

The "hexadecapus" is the hardware, but transfer is automated by naming the SDCards prior to use and scripts take care of the transfer. The scripts may be written up in the audiomoth guide but the kitzes lab have this on github (although it may be mac specific) 

No - the trap was in their path and they just walked through it. I've now moved it to a place they can't go. The biggest threat to the moths is from pied currawongs. I schedule the trap so it shuts off at least two before sunrise to try to avoid them feasting on the larger insects.

At first I was finding wings below the screen in the morning when I put our units out. So I put a game camera on the units to see what was feeding and when. I found three bird species, likely 3 individuals, quickly found it to be a good bird feeder- Song Sparrow (most frequent), House Wren, and this Tufted Titmouse. I changed my units to turn off about 1.5 hours before dawn and that worked! Nearly all the moths left the scene before the birds came to visit. 

My most prized camera trap image - a hummingbird caught on camera!

Maybe a couple useful refs.

- we did find smaller detection areas in the wet season here

- guidelines for sample design here.

I've never had a problem with monkeys wrecking cameras, hyenas, elephants, bears yes.

cheers

Roland

Hi @laydent ,

I am just an occasional and non-professional user of a camera trap in Costa Rica. I have not experienced destruction of the camera trap by animals, so far. The trap never caught a monkey, but it did catch raccoons, an ocelot, pizotes and olingos. They all left the camera trap alone.

Rain would impact animal behavior obviously and possibly result in false positive triggering of the camera due to moving leaves and/or the rain itself. On the latter, one might try different sensitivity settings to see how your particular camera responds.

Camera traps are supposedly water tight ( and mine has been ), but in the long run seals may erode ( direct exposure to the sun may speed that up ). Also, I am wondering if water tight means rain-water tight, leaving the possibility of air humidity coming into the trap and cause corrosion.

Sorry, but I can not recommend anything to your third point.

I would agree that primates probably aren't your biggest concern, animal-destroyer wise. At least in the Malagasy rainforests, lemurs are highly arboreal so if you have trail cams down low, the lemurs won't come down that far. Neotropical primates are probably similar in that respect (at least compared to African/Asian primates such as baboons & macaques which are more terrestrial). The bigger issue than animals messing up cameras has been people stealing or interfering with them, so trying to put hem off-trail/hidden, locked onto large trees has been important. 

I second the Kays et al paper that @Rolandisimo mentioned above as a great reference & starting point! There is also this paper on camera trap study design, this one on camera trap placement bias and this one on strategic camera trap placement for evaluating different metrics. 

In terms of wet vs dry season, you'll want to make sure that water doesn't accumulate where you're putting up the cameras such that they would potentially become submerged in a flash flood or river-rising/overflowing situation, but you probably already know that :).  

There have been many papers that have looked at the effect of seasonality with camera trap data, but the majority of them are with regard to the actual species activity pattern differences across seasons rather than the effect of season on detection distance. You should consider what your species of interest's activity patterns are in different seasons and how this may impact detection probability. It may also be important in terms of strategically planning your sampling scheme. For example, the mouse & dwarf lemurs in Madagascar hibernate during the cold/dry season so it's not useful to sample for them during those months.   

Hi Pen-Yuan. 

I need to revise what I said before. Browning devices within a specific model number have similar PCBs, ie: we worked with the BTC-8A for the Spec Ops Advantage. They're currently on the BTC-8E which we've found to have a different PCB. So I think the rule we're using on Browning at the moment (and most vendors) are that the model number needs to match, else it's likely the PCB is different. This also happened to us with Bushnell Trophycams. We're running into this issue now with a Boombox customer planning a Browning deployment. We're currently getting the camera trap in so we can reverse engineer the newer model and interface it to Boombox. 

Akiba