This is great, thank you so much @zhongqimiao ! I will check it out and looking forward for the upcoming tutorial!

Hi Frank! Actually I have not used it yet. It is shipped to our field site but I will soon get a chance to use it. We got it with the intention of finding arctic tundra bird nests. We also got a handheld thermal binocular. I expect the latter to be more convenient and fast to use. 

We use the DJI M30T for this kind of work.

For finding heat signals of animals under foliage check out this bit of Austrian UAV developement:

You can use their open software on the DJI remotes.

Greetings from the woods,

Robin 

You can already achieve both of them with your prompt. 
Or, if you're not using ChatGPT specifically but another LLM that you can fine tune, you can use RAG or fine tuning to extra train the algorithm on the data you want it to extract information from.
With ChatGPT you can create your custom GPT now.

That's my kinda crazy @Rob_Appleby. Reminds my of a concept from my last job where they were trying to create strain gauge power meters that customers could self apply to their bikes. Normally this process was done in factory using special CA glue cured in 50-90c ovens. For the self applying version they were experimenting with an adhesive that had tiny metal beads in it that would heat up when a current was applied to self cure if I remember correctly.

Now I want to be able to drop it from a drone and have it glue itself to the fur of a deer or wild hog. I am designing that now, it will have a detachable lawn dart that drops from a drone and lands on a target animal. That lawn dart delivers the payload, either a tracker or a dose of contraceptives. Then the drone comes and picks up the lawn dart again for reloading. 

So the lawn dart has a small compressed air cylinder and some pneumatic style switches. When it touches down the switch actuates and the compressed air energy is used to deliver a dose of drugs and or spray some glue and  ink. That can be reloaded with a bike pump and hypodermic.

I am working on that too haha. So in my design you load the glue gun with two part Loctite, it has two separate metal rings. Glue and hardener in each ring. Then each ring has a few tiny holes drilled, and you fill the holes with a disposable plug. 

When the switch is actuated the pressure inside the metals rings goes from atm to 100kPa, and sprays the glue and hardener together as the plugs blow out. The transmitter is attached to the plugs, so it is left behind and glued in place with one switch. That loctite glue is basically instant. The whole thing would not even be that traumatic to the animal. When you score a hit, you find the lawn dart glue gun again and pick it up with the drone. 

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

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. 

Unfortunately , not yet . Still digging into it in my free time. And trying to setup a camera in my bord feeder for a mini conservation project in my back garden :) 

Hi Soumya , 

Interested to know if you are pursuing distance education in ML while at your current job. I would love to hear more about your journey on course specifics and the platform you use to complete the education, and I would love to hear if you have any recommendations based on your experiences.

Thanks, 
Savi

Totally agree.

Inititally sceptical until I saw Helena and Graeme were involved.

MJ

In my experience, the preference for trapping animals using different types of snares varies depending on factors such as traditional customs, geographical location, availability and accessibility of materials, terrain, ease of transporting materials, and the type of animal targeted, ranging from buffaloes to medium or small-sized antelope. Based on my experience working in open woodland savannah protected areas (where poachers prefer using wired snares to hunt big game and even small game) and in closed canopy rainforests (where poachers prefer using nylon snares to hunt medium to small-sized antelope). It would be great if the technology will be modified to be capable of detecting both types of snares.

Yeah we got it about as bare bones as possible for this level of photo resolution and duration in the field. The main costs right now are:

Pi- $80

Pijuice -$75

Battery - $85

64mp Camera - $60

which lands us at $300 already. But we might be able to eliminate that pijuice and have fewer moving parts, and cut 1/4 of our costs! Compared to something like just a single logitech brio camera that sells for $200 and only gets us like 16mp, we are able to make this thing as cheap as we could figure out! :)

Gotcha, well I look forward to seeing future iterations and following along with your progress!! 

Fantastic Nigel! Bummer to hear that production has stopped, but glad you are getting their remaining boards! I know where to come when I need some!

Cheers,

Rob

Steph, yes, I gathered as much myself, but I still wanted to put it on the agenda. It links to the bigger problem in nature conservation, and especially funding : all projects are required to be effective and successful, scalable, profitable and so on (not to mention the paper trail that applicants need to produce to prove it ). It makes sense from the donors' perspective, because if a project is not at least one of these, then it is a waste of money an how do they explain that to the public and the donors' donors. On the other hand, the IMHO ( H for honest ) over emphasis on this requirement is counterproductive and it does not fit in the world of tech development.

To start with the latter, as we all know, in the world of tech VC and startups, people are very used to the idea that a tech invention is not successful. I've read that if you haven't had two failed startups behind you, you're a better contender with your next one. 9 Out of 10 will fail and the remaining one will more than make up for the loss, is the idea. This way of looking at projects fits very well in this tech oriented forum.

Then the counter productive part : with a funding climate like that, who is going to take risks with tech development for nature conservation? Seriously, anybody reading this: if you raise your hand, please do get in touch, because I am curious how you look at the issue and how you deal with it. Whereas I do agree that nature conservation as a whole needs to be successful, I don't believe that the sponsors' stress on it for individual projects is successful itself. Nature's degradation has developed so far ( call me a pessimist ), that we need to take risks and find out if ( and hope that ) what works for silicon valley can work for nature.

Kudos for your attempt at the 'Technical difficulties'. I didn't know about it. Maybe we ( but I mean you, of course  ;-) can tinker with the formula. Ask people to talk about how they overcame problems in some detail, because then it is a success story again. ( They could earn a badge! ) And if the recording is an issue, then don't record, or work on anonymity with temporary accounts, TOR, voice scramblers and the camera off. Maybe people are willing to write about their failures instead of doing a live presentation. That way, one has absolute control over anonymizing individuals and hiding the project from being identified. Little risk of a slip of the tongue. 

Thanks for your thoughts on the importance of sharing more about failure in our unique sector. You bring up some very valid points @Frank_van_der_Most  and I think the perspective of 'learning by doing' is quite essential. I've shared below some stories I've covered from our East Africa community that touch on this and the perspective that has emerged has been on learning from these experiences and developing with more insight to solve conservation challenges more effectively. I hope you will find these interesting and useful.

Hi @Frank_van_der_Most,
great point and I will address this in my little talk next week.

Greetings from Austria,
Robin