Super interesting! I'm currently developing sensor accelerometers for fence perimeters in wildlife conservation centres. I think this is a really cool application of accelerometers; I would love to know how the sensor which you developed for part 3 looked like, or what type of software/machine learning methods you've used? Currently my design is a cased raspberry pi pico, combined with an accelerometer and ml decision trees in order to create a low-cost design. Perhaps there is something to be learnt from this project as well :)

Hi, I'm really interested in your project. If you're open to it, I’d be happy to build and send you a couple of data logger units — free of charge — to help monitor temperature, humidity, pressure, and possibly hive weight using a load cell. I’m also considering adding a simple bee traffic sensor to track how often bees enter and leave the hive. This could help reveal patterns related to foraging behavior or colony stress. 

 It would also be an interesting use case for using LoRaWAN to send node data to a central gateway. The data could be exported in line protocol format so you can easily import it into InfluxDB or another dashboarding tool if you'd like to visualize it.

 I’m quite busy with other projects, but I’d be happy to throw something together to get you started, and I’ll include the source code in case you'd like to modify or expand it in the future. Let me know if this sounds helpful — I'd love to support your work.

 Best regards, Travis

Hi Sean! I love that you are naturally curious and are pursuing really cool projects in your free time. I know absolutely nothing about cape dune mole rats (in fact, never heard of them prior to this post, but I will confess I was interested in the concept of a mole-rat mystery), but I did have some thoughts about where you might find more information-

It seems like the types of questions you are asking are pretty specific and niche. My first thought on how to find someone with expertise in these specific rodents was to go to their iNat page- there you can see the top observer and top identifier. Both individuals are active researchers, so I think reaching out to them on iNat or finding their e-mails from their respective organizations' sites might be a good way to get in touch.

• https://doi.org/10.1080/15627020.2012.11407557

I also did a quick search in Google Scholar in which I typed in only the scientific name and hit go. The two publications linked above caught my eye as potentially helpful in your search- particularly the first one. They excavated burrows and noted things like home range size, that males have more burrows than females, etc. I didn't go much beyond the abstracts but these seem like they might get you on the right tracks!

Happy ratting!

Hi! I would be interested to learn more about your project. Would you send me your contact email? Mine is melisa.simic@nuveen.com - We are infrastructure investors globally working with both clean energy and diversified infra assets. 

Thanks, Melisa

Hi Nikita,

 If you haven't already, I'd recommend reaching out to the folks at the Cornell Ornithology lab. They're really glued into all things bird. In particular, I remember seeing a presentation years ago about their project birdcasting, which was measuring bird migration via radar. One of their next steps was to connect small scale behavior to large scale movement data, and it sounds like your drone project could help fill that gap. 

Cheers,

Brandon

I'm looking forward to the cool Margo TV we are going to see when we get some AI bear monitoring going in Canada with Margo supplies :) That's going to be awesome.

Here is an image of a bear from last night in the Scandinavian zoo in Denmark. The system triggered on the bear even though it is very dark and this is a digital zoom on a wide angle fixed camera. Despite being very fuzzy we are able to get triggers on these ones due to the use of multiple mitigation techniques so we get long distance, high sensitivity and low false positives. This one for example was checked with multiple successive frames and multiple AI models before calling it a bear.

This is without thermal. But with added thermal and models trained on thermal images the heat signature will effectively be taken up in the model I'm expecting. This would mean that in effect you can tolerate a lower confidence level but it would after all be a living thing as well.



This trigger event for this event was even less clear, but you can still just make out two eyes, and bear in mind (excuse the pun), the actual view from this camera is even wider and the bear further away in a sense as this is a dynamic zoom.

 Is thisvfunding grant an opportunity? https://www.dronedeploy.com/blog/expand-your-impact-with-a-grant-from-dronedeploy

Hi David, this is an incredible project. Would you be interested in sharing more of your experience with AI and wildlife conservation with my students? They are currently researching this, and would greatly benefit from speaking with a professional in the field. Thank you for considering!

Hats off to your team for this absolute game-changing technology! 

We rescue stray and wild animals in Taiwan, and the bulk of our work is saving animals maimed by wire snares and gin traps. We've become better at finding the devices, but still not good at all. There's simply too much difficult terrain to cover and we only have eyeballs and hiking sticks to find them. We know roughly where they are because the maimed stray dogs will eventually find their way onto a road and be reported to us. Then we close one of them, set up a trail camera, get the evidence of the poacher in the act of re-setting it, and get him prosecuted and shut down. But we need to be able to scale this greatly.

I've been using a thermal-imaging drone to locate stricken animals and am now considering buying another drone more suited to finding traps and snares. Some newer drones are able to navigate through forest without crashing into thin branches, so I've been looking into equipping one with LiDAR to see if that can detect the devices. But then I came across your YouTube channel and then this post about using airborne synthetic radar, and I'm incredibly excited to see where you might take this incredible technology.

How can we get our hands on the SAR you're using? It's 3 kg, right? I'm wondering if I could fit it to a suitable drone. If it works above forest canopy to detect traps and snares on the forest floor, then I can use a load-carrying drone instead of a light obstacle-avoidance drone.

If you made the SAR yourselves, then maybe think about crowdfunding for your project. I'd happily pledge funds if it meant I could get my hands on the kind of equipment you're using.

I can't tell you how happy I am thinking about all the animals' lives you'll save with this. Don't just remove the snares—gather evidence and put the poachers out of business too!

Sam  any update on Instant Detect 2.0 - previously you mentioned that you hope to go into volume production by mid-2024?

I would love to also see a comparison between Instant Detect 2.0 and Conservationxlabs' Sentinel products if anyone has done comparisons.

Are there any other similar solutions currently on the market - specifically with the images over LoRa capability, and camera to satellite solution?

That is challenging and I'd be keen to hear other people's suggestions! 

From the academic realm, I'll say that many graduate students get travel funding through scientific societies. E.g. the Association for Tropical Biology and Conservation has seed grants:

https://tropicalbiology.org/grants-awards/atbc-seed-research-grant/

And Society for Conservation Biology has grad student awards:
https://conbio.org/mini-sites/scb-awards/student-awards

These are often restricted to members unfortunately. National/regional societies might be good resources for people to look into.