With new technologies revolutionizing data collection, wildlife researchers are becoming increasingly able to collect data at much higher volumes than ever before. Now we are facing the challenges of putting this information to use, bringing the science of big data into the conservation arena. With the help of machine learning tools, this area holds immense potential for conservation practices. The applications range from online trafficking alerts to species-specific early warning systems to efficient movement and biodiversity monitoring and beyond.
However, the process of building effective machine learning tools depends upon large amounts of standardized training data, and conservationists currently lack an established system for standardization. How to best develop such a system and incentivize data sharing are questions at the forefront of this work. There are currently multiple AI-based conservation initiatives, including Wildlife Insights and WildBook, that are pioneering applications on this front.
This group is the perfect place to ask all your AI-related questions, no matter your skill level or previous familiarity! You'll find resources, meet other members with similar questions and experts who can answer them, and engage in exciting collaborative opportunities together.
Just getting started with AI in conservation? Check out our introduction tutorial, How Do I Train My First Machine Learning Model? with Daniel Situnayake, and our Virtual Meetup on Big Data. If you're coming from the more technical side of AI/ML, Sara Beery runs an AI for Conservation slack channel that might be of interest. Message her for an invite.
Header Image: Dr Claire Burke / @CBurkeSci
Explore the Basics: AI
Understanding the possibilities for incorporating new technology into your work can feel overwhelming. With so many tools available, so many resources to keep up with, and so many innovative projects happening around the world and in our community, it's easy to lose sight of how and why these new technologies matter, and how they can be practically applied to your projects.
Machine learning has huge potential in conservation tech, and its applications are growing every day! But the tradeoff of that potential is a big learning curve - or so it seems to those starting out with this powerful tool!
To help you explore the potential of AI (and prepare for some of our upcoming AI-themed events!), we've compiled simple, key resources, conversations, and videos to highlight the possibilities:
Three Resources for Beginners:
- Everything I know about Machine Learning and Camera Traps, Dan Morris | Resource library, camera traps, machine learning
- Using Computer Vision to Protect Endangered Species, Kasim Rafiq | Machine learning, data analysis, big cats
- Resource: WildID | WildID
Three Forum Threads for Beginners:
- I made an open-source tool to help you sort camera trap images | Petar Gyurov, Camera Traps
- Batch / Automated Cloud Processing | Chris Nicolas, Acoustic Monitoring
- Looking for help with camera trapping for Jaguars: Software for species ID and database building | Carmina Gutierrez, AI for Conservation
Three Tutorials for Beginners:
- How do I get started using machine learning for my camera traps? | Sara Beery, Tech Tutors
- How do I train my first machine learning model? | Daniel Situnayake, Tech Tutors
- Big Data in Conservation | Dave Thau, Dan Morris, Sarah Davidson, Virtual Meetups
Want to know more about AI, or have your specific machine learning questions answered by experts in the WILDLABS community? Make sure you join the conversation in our AI for Conservation group!
- @Adrien_Pajot
- | He/His
WILDLABS & Fauna & Flora
Hi! I am Adrien, a dedicated French ornithologist and engineer committed to biodiversity conservation. I joined the WILDLABS team as a project manager in October 2023!
- 13 Resources
- 55 Discussions
- 3 Groups
- @Jaeyoung
- | He
I am a member of the Design for Social Innovation and Sustainability Lab (DESIS Lab) at Yonsei University, where I am pursuing a master's degree in Human Environment and Design. My study is about sustainable HCI, children's connection to nature, and product-service design.
- 0 Resources
- 0 Discussions
- 4 Groups
I'm a software developer. I have open source projects in practical object detection and alerting that is well suited for poacher detection and a Raspberry Pi based sound localizing ARU project
- 0 Resources
- 196 Discussions
- 5 Groups
- @Kathinja
- | He
a geography student with keen interests in geographic information systems(GIS) a climate enthusiast, sustainable development, conservation effort and green technologies
- 0 Resources
- 0 Discussions
- 4 Groups
American Museum of Natural History
- 1 Resources
- 7 Discussions
- 10 Groups
- @HRees
- | Him/His
WILDLABS & Fauna & Flora
WILDLABS - Programme Development Manager, keen interest in bats, hyaenas and tech!
- 6 Resources
- 2 Discussions
- 4 Groups
- @TaliaSpeaker
- | She/her
WILDLABS & World Wide Fund for Nature/ World Wildlife Fund (WWF)
I'm the WILDLABS Research Specialist at WWF-US
- 13 Resources
- 56 Discussions
- 24 Groups
- @tadeotw
- | they/them
- 0 Resources
- 0 Discussions
- 1 Groups
Sustainability Manager for CERES Tag LTD. An animal health company; animal monitoring, conservation, & anti-poaching/ rural crime. Wildlife, livestock, equine & companion. #CeresTrace #CeresWild #CeresRanch
- 2 Resources
- 19 Discussions
- 24 Groups
Worked as a mechanical engineer for a defence co, then software engineer, then for a research lab specialising in underwater robotics.
- 1 Resources
- 138 Discussions
- 16 Groups
- @Tracks_Ecology
- | he/him
Ecological Consultant focussing on the use of UAV and GIS to advance applied ecological reasearch
- 0 Resources
- 1 Discussions
- 5 Groups
Wildlife Drones
Wildlife Drones has developed the world’s most innovative radio animal-tracking system using drones so you can track your radio-tagged animals like never before.
- 11 Resources
- 8 Discussions
- 32 Groups
18 month postdoc research position, Netherlands, EU-funded
28 March 2024
Article
You’re invited to the WILDLABS Variety Hour, a monthly event that connects you to conservation tech's most exciting projects, research, and ideas. We can't wait to bring you a whole new season of speakers and...
22 March 2024
Join our multi-national team at the AI for Biodiversity Change Global Climate Center! We're hiring a Research Data Manager & Tech Coordinator at Ohio State. Support cutting-edge research on climate change &...
15 March 2024
Catch up on the conservation tech discussions and events that happened during World Wildlife Day 2024!
7 March 2024
EcoAssist introduces a free African species identification model for camera trap images, capable of recognising 30 species.
5 March 2024
Join us to help prevent biodiversity loss! Understory is hiring a postdoc to lead R&D Development on generalizing Computer Vision models for vegetation identification across space/time/phenotypes.
29 February 2024
Join the Luxembourg Institute of Science and Technology (LIST) in pioneering environmental and ecological monitoring! 🌍💡 As part of ERIN’s Observatory for Climate, Environment, and Biodiversity (OCEB), you'll be at the...
26 February 2024
SNTech are recruiting for 3 roles to assist us to develop computer vision pipelines for underwater monitoring
15 February 2024
We invite applications for the third Computer Vision for Ecology (CV4E) workshop, a three-week hands-on intensive course in CV targeted at graduate students, postdocs, early faculty, and junior researchers in Ecology...
12 February 2024
The primary focus of the research is to explore how red deer movements, space use, habitat selection and foraging behaviour change during the wolf recolonization process.
10 February 2024
Applications open for a PhD position in plant vibroacoustics at the University of Southampton
8 February 2024
We demonstrate the power of using passive acoustic monitoring & machine learning to survey species, using ruffed lemurs in southeastern Madagascar as an example.
23 January 2024
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Description | Activity | Replies | Groups | Updated |
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Hi @DaveGaynor regarding funding, have you reached out to any lodges? I know that snaring is rife in the Manyaleti ... maybe some of the lodges in the Sabi Sands would be... |
+17
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AI for Conservation, Drones, Emerging Tech, Human-Wildlife Conflict, Wildlife Crime | 7 hours 29 minutes ago | |
Actually my Raspberry Pi application is a sound localizer not related to image recognition. My image recognition related project runs on Jetsons and higher.But I think recognizing... |
+18
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AI for Conservation | 1 day 1 hour ago | |
Hi @emmahiggins , sounds like a great plan. Could you tell more about the content of the program, and perhaps the institutional context (which department(s) is(are)... |
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Build Your Own Data Logger Community, AI for Conservation, Autonomous Camera Traps for Insects, Biologging, Camera Traps, Citizen Science, Climate Change, Acoustics, Community Base, Connectivity, Conservation Dogs, Conservation Tech Training and Education, Data management and processing tools, Drones, Early Career, Earth Observation 101 Community, East Africa Community, eDNA & Genomics, Emerging Tech, Ending Wildlife Trafficking Online, Ethics of Conservation Tech, Footprint Identification Technique (FIT), Human-Wildlife Conflict, Marine Conservation, Open Source Solutions, Protected Area Management Tools, Remote Sensing & GIS, Sensors, Software and Mobile Apps, Sustainable Fishing Challenges, Wildlife Crime, Women in Conservation Tech Programme (WiCT) | 2 days 8 hours ago | |
I am also commenting for future notifications - very interested to hear some responses.While not directly related to AI, here in Canada there's quite a conversation around data... |
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AI for Conservation | 3 days 20 hours ago | |
Yes, this system is designed to be installed near farms. We also have the repeller system with audio & light, that is battery & solar powered. This system is a "last line... |
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AI for Conservation | 2 weeks 1 day ago | |
Undoubted things will quickly evolve from just "straight" ChatGPTn, BARD, ClaudeAI, etc "standard" models, to more specialized Retrieval Augmentation Generation (RAG) , where... |
+42
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AI for Conservation, Emerging Tech | 3 weeks 2 days ago | |
This is so cool! I am 1000% going to see if they want to come talk about it at Variety Hou! |
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AI for Conservation, Citizen Science | 3 weeks 3 days ago | |
Hi Sol,If the maximum depth is 30m, it would be worth experimenting with HydroMoth in this application especially if the deployment time is short. As Matt says, the air-filed case... |
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Acoustics, AI for Conservation, Data management and processing tools, Emerging Tech, Sustainable Fishing Challenges | 3 weeks 3 days ago | |
Online citizen science platforms like iNaturalist and Macaulay Library contain a wealth of images but are hard to search using text. We are... |
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AI for Conservation, Citizen Science | 3 weeks 5 days ago | |
We're seeking training data for AI for wolf ID - we at T4C manage 3 Wildbook platforms: Wild North, Whiskerbook and the... |
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AI for Conservation | 4 weeks ago | |
Hi Phani,An entry point might be to participate in a challenge related to conservation on:KaggleDrivenDataFruitPunchMax Planck Institute of Animal BehaviorYou could also reach out... |
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AI for Conservation | 1 month ago | |
[oops, the same reply got submitted twice and there doesn't seem to be a "delete" button] |
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AI for Conservation, Camera Traps | 1 month ago |
Mass Detection of Wildlife Snares Using Airborne Synthetic Radar
7 January 2024 6:50am
24 May 2024 2:02pm
Happy to help out with the processing of the SAR images and building a model on top of it.
28 May 2024 5:06am
Hi @DaveGaynor regarding funding, have you reached out to any lodges? I know that snaring is rife in the Manyaleti ... maybe some of the lodges in the Sabi Sands would be interested in helping you with your goal?
Has anyone combined flying drone surveys with AI for counting wild herds?
14 April 2024 3:40pm
26 May 2024 7:08pm
That would be an ideal application for the invasive species area monitor, because you can cover so much ground. A truck with 4wd and a couple of hydrogen bottles could cover half the province.
26 May 2024 7:16pm
And here is an idea that will develop in parallel. I happen to live near a bunch of greenhouses. Do you think your raspberry pi application could operate a drone inside a greenhouse? I mean could it be taught to recognize a flying insect, in the nicely constrained greenhouse environment? For example there's only a few kinds of bugs in there I bet.
The drone also has one of those small vacuum cleaners, like a Dyson stick. Then it needs to guide the drone to where the vacuum can grab the flying moth or pest. If I could get a few of those flying I could maybe pay for phase 2.
27 May 2024 10:55am
Actually my Raspberry Pi application is a sound localizer not related to image recognition. My image recognition related project runs on Jetsons and higher.
But I think recognizing bugs on a drone would likely be challenging. You would have to have sufficient detail to get good recognition which would be a very narrow field of view and then vibration also becomes an issue.
For example, the trainings on just the coco dataset seems to distill the recognition of people to a multi-segmented thing with bits sticking out. So spiders on camera lens are highly likely to be seen as people. To get better results much more training data is needed. I expect it's also likely to be the case for insects, really large amounts of training data would be needed to tell the difference between different types.
Thoughts on new MSc in Conservation Technology
24 May 2024 3:54pm
26 May 2024 4:43am
Hi @emmahiggins ,
sounds like a great plan.
Could you tell more about the content of the program, and perhaps the institutional context (which department(s) is(are) going to offer the course, and which research programs or projects are related to it) , so we'll have something to orient our thoughts?
Indigenous communities and AI for Conservation
8 May 2024 12:32pm
8 May 2024 7:04pm
Oh yeah that would be awesome! Let me email you to follow up. I assume you're working with Alec Christie then? He was sharing your team's work in our chatgpt discussion:
9 May 2024 10:26am
Yes, exactly! Alec and I are working together on this.
24 May 2024 3:53pm
I am also commenting for future notifications - very interested to hear some responses.
While not directly related to AI, here in Canada there's quite a conversation around data sovereignty for Indigenous communities, such as OCAP (Ownership, Control, Access, Possession) which may be able to connect you with some of the big players in this part of the world. There is also a few efforts to incorporate more Indigenous knowledge systems in statistical modelling which may be of interest: https://www.biorxiv.org/content/10.1101/2023.09.07.556613v1.full.pdf
Computational Entomology Webinar III: Processing liquid samples
22 May 2024 12:40am
DeepDive: estimating global biodiversity patterns through time using deep learning
20 May 2024 4:51pm
These authors "develop an approach based on stochastic simulations of biodiversity and a deep learning model to infer richness at global or regional scales through time while incorporating spatial, temporal and taxonomic sampling variation."
Successfully integrated deepfaune into video alerting system
2 December 2023 11:15am
3 May 2024 3:07pm
Yeah. I’ve seen the video. Very nice. Good luck with that ! Let us know how it goes.
4 May 2024 12:44pm
Hi Thijs, the use of that inflatable device to scare off bears suggests that the location you are using it has significant power available.
Is this a common situation for the places in Romania that have bear trouble ? Because I think your other systems were running off batteries is that correct ?
12 May 2024 2:59pm
Yes, this system is designed to be installed near farms. We also have the repeller system with audio & light, that is battery & solar powered. This system is a "last line of defence". The blowers alone requires 1000 watts :)
4th International Workshop onCamera Traps, AI, and Ecology
9 May 2024 1:00pm
Harnessing large language models for coding, teaching and inclusion to empower research in ecology and evolution
9 May 2024 12:51pm
Check out this paper that reviews the current state of AI in conservation.
Voices of Sustainability: Perspectives from - Africa Wholesome Sustainability Explained: What is E-PIE
7 May 2024 3:06am
ChatGPT for conservation
16 January 2023 10:04am
2 May 2024 9:39pm
In my experience, ChatGPT-4 performs significantly better than version 3.5, especially in terms of contextual understanding. However, like any AI model, inaccuracies cannot be completely eliminated. I've also seen a video showing that Gemini appears to excel at literature reviews, though I haven't personally tested it yet. Here's the link to the video: https://www.youtube.com/watch?v=sPiOP_CB54A.
4 May 2024 6:44am
While GPT3.5 is good for some activities, GPT-4 and GPT4-turbo are much better. Anthropic Claude is also very good, on a par with GPT4 for many tasks. As someone else has mentioned, the key is in the prompt you use, though chatGPT is continually being extended to allow more contextual information to be included, for example external files that have been uploaded previously. Code execution and image generation are also possible with the paid version of chatGPT, and the latest models include data up to the end of 2023 (I think). You can also include calls to openAI or other APIs programatically to include these in your workflows for assisting with a variety of tasks.
Regarding end results - as always, we're responsible for whatever outputs are ultimately published/shared etc.
For Conservation Evidence - you could try making your own GPT (chatGPT assistant) that can be published/shared using your own evidence base and prompt that should be well grounded and provide good responses (I should think). But don't use 3.5 for that, IMO.
4 May 2024 8:28pm
Undoubted things will quickly evolve from just "straight" ChatGPTn, BARD, ClaudeAI, etc "standard" models, to more specialized Retrieval Augmentation Generation (RAG) , where facts from authoritative sources and rules are supplied as context for the LLM to summarize in its response. You can direct ChatGPT and BARD: "Your response must be based on the reference sections provided" up to a few K of tokens. A huge amount of work is going into properly indexing reference materials in order to supply context to the reference models. Folks like FAO and CGIAR are indexing all their agricultural knowledge to feed the standard ones with location, crop, livestock, etc specialty "knowledge" to provide farmers automated advice via mobile phones, etc. I can totally see the same for such mundane things as "how do I ... using ArcMAP or QGIS?" purely based on the vast amount of documentation and tutorials. Google, ChatGPT, etc do a really good job already; this is just totally focusing its response to the body of knowledge known in advance to be relevant.
I would highly recommend folks do some searching on "LLM RAG" - that's what going nuts now across the board.
Then there's stuff I like to call "un-SQL" ... unstructured query language .. that will take free-form queries to form SQL queries, with supporting visualization code.
see:
"https://mlnotes.substack.com/p/no-more-text2sql-its-now-rag2sql"
"http://censusgpt.com"
etc.
As far as writing and evaluating proposals, I saw a paper on how summarization of public review forms are being developed in several cities.
see: "http://streetleveladvisors.com/?p=181562"
And that's just the standard LLMs; super-specialized LLMs based on Facebook Llama are being built purely based on domain-specific bodies of dialog - medical, etc. LOTS of Phds to be done.
I think what will be critical in all this are strong audit trails and certification mechanisms to gain trust. Especially when it comes to deceptive simple terms like "best"
Chris
AI & Gamified Citizen Science
3 May 2024 7:24am
3 May 2024 5:09pm
Check out FathomVerse, a new game by MBARI folks for involving citizen scientists in improving algorithms to ID deep sea critters!
3 May 2024 8:28pm
This is so cool! I am 1000% going to see if they want to come talk about it at Variety Hou!
Travel grants for insect monitoring an AI
3 May 2024 5:20pm
Drop-deployed HydroMoth
2 April 2024 10:20am
15 April 2024 6:53am
Hi Matthew,
Thanks for your advice, this is really helpful!
I'm planning to use it in a seagrass meadow survey for a series of ~20 drops/sites to around 30 m, recording for around 10 minutes each time, in Cornwall, UK.
At this stage I reckon we won't exceed 30 m, but based on your advice, I think this sounds like not the best setup for the surveys we want to try.
We will try the Aquarian H1a, attached to the Zoom H1e unit, through a PVC case. This is what Aquarian recommended to me when I contacted them too.
Thanks for the advice, to be honest the software component is what I was most interested in when it came to the AudioMoth- is there any other open source software you would recommend for this?
Best wishes,
Sol
21 April 2024 7:10pm
Hey Sol,
No problem at all. Depending on your configuration, the Audiomoth software would have to work on a PCB with an ESP32 chip which is the unit on the audiomoth/hydromoth, so you would have to make a PCB centered around this chip. You could mimic the functionality of the audiomoth software on another chip, like on a raspberry pi with python's pyaudio library for example. The problem you would have is that the H1A requires phantom power, so it's not plug and play. I'm not too aware with the H1e, but maybe you can control the microphone through the recorder that is programmable through activations by the RPi (not that this is the most efficient MCU for this application, but it is user friendly). A simpler solution might be to just record continuously and play a sound or take notes of when your 10 min deployment starts. I think it should last you >6 hours with a set of lithium energizer batteries. You may want to think about putting a penetrator on the PVC housing for a push button or switch to start when you deploy. They make a few waterproof options.
Just somethign else that occured to me, but if you're dropping these systems, you'll want to ensure that the system isn't wobbling in the seagrass as that will probably be all you will hear on the recordings, especially if you plan to deploy shallower. For my studies in Curacao, we aim to be 5lbs negative, but this all depends on your current and surface action. You might also want to think about the time of day you're recording biodiversity in general. I may suggest recording the site for a bit (a couple days or a week) prior to your study to see what you should account for (e.g. tide flow/current/anthropogenic disturbance) and determine diel patterning of vocalizations you are aiming to collect if subsampling at 10 minutes.
Cheers,
Matt
3 May 2024 12:55pm
Hi Sol,
If the maximum depth is 30m, it would be worth experimenting with HydroMoth in this application especially if the deployment time is short. As Matt says, the air-filed case means it is not possible to accurately calibrate the signal strength due to the directionality of the response. For some applications, this doesn't matter. For others, it may.
Another option for longer/deeper deployments would be an Aquarian H2D hydrophone which will plug directly into AudioMoth Dev or AudioMoth 1.2 (with the 3.5mm jack added). You can then use any appropriately sized battery pack.
If you also connect a magnetic switch, as per the GPS board, you can stop and start recording from outside the housing with the standard firmware.
Alex
AI-enabled image query system
2 May 2024 2:16am
Elephant Collective Behaviour Project - Principal Investigator
1 May 2024 1:59pm
The Inventory User Guide
1 May 2024 12:46pm
Introducing The Inventory!
1 May 2024 12:46pm
2 May 2024 3:08pm
3 May 2024 5:33pm
17 May 2024 7:29am
Hiring Chief Engineer at Conservation X Labs
1 May 2024 12:19pm
AI for wolf ID
29 April 2024 7:09pm
Earth Blox dataset review: Meta Global Canopy Height (1m)
23 May 2024 7:23pm
27 May 2024 8:58am
AI volunteer work
3 February 2024 12:29pm
24 April 2024 10:59am
Hi Phani,
An entry point might be to participate in a challenge related to conservation on:
You could also reach out to a conservation organization (e. g. WWF or something smaller and more local) and ask them directly whether there's an opportunity for you to volunteer, perhaps even suggest an idea and maybe they find it useful.
I hope you find an opportunity you're looking for!
MegaDetector v5 release
20 June 2022 9:06pm
23 April 2024 9:43pm
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?
23 April 2024 10:38pm
I'm sorry, I don't use PyTorch-Wildlife; I recommend filing an issue on their repo. Good luck!
23 April 2024 10:38pm
[oops, the same reply got submitted twice and there doesn't seem to be a "delete" button]
Pytorch-Wildlife: A Collaborative Deep Learning Framework for Conservation (v1.0)
21 February 2024 10:30pm
26 February 2024 11:58pm
This is great, thank you so much @zhongqimiao ! I will check it out and looking forward for the upcoming tutorial!
17 April 2024 11:07am
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:
23 April 2024 9:48pm
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
Navigating AI and good governance for INGOs
23 April 2024 10:27am
Program Manager: Integrating movement and camera trap data with international conservation policy
22 April 2024 10:16pm
Postdoc: Biologging & Camera Trap Data Integration
22 April 2024 10:10pm
WILDLABS AWARDS 2024 - No-code custom AI for camera trap species classification
5 April 2024 7:00pm
10 April 2024 3:55am
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.
17 April 2024 5:53pm
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.
21 April 2024 5:19pm
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.
4th International workshop on vocal interactivity in-and-between humans, animals, and robots
19 April 2024 3:03pm
WILDLABS AWARDS 2024 – MothBox
15 April 2024 5:06am
18 April 2024 10:39am
Already an update from @hikinghack:
19 April 2024 12:00pm
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! :)
19 April 2024 12:54pm
Gotcha, well I look forward to seeing future iterations and following along with your progress!!
20 May 2024 8:11am
Thank you so much for your support. I am finding it really difficult to find the funding for the initial development. We need lots of engineering time to refine our detection and trial it in ever more complex habitats. We really need money for a well-qualified electronic engineer competent in signal processing to work on this full-time as my PhD student, has to hold down a full-time job as Radar lead for a satellite company.