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I have a spare e-ink display and my next weekend project to follow onto this is to wire it up so it shows some faux "woodcut" images of birds detected, or something like that.
https://i.imgur.com/5XbM6bb.png
Also if anyone is interested, here is the server for the e-ink screen https://github.com/koryk/inky-impression-server
and here is a MCP for birdnet that I've been using for a bit https://github.com/koryk/birdnetpi-mcp-local-server
I’ve been unhappy with my little lcd board I’ve been using for the same here https://github.com/simonjgreen/OpenObservatory as the contrast is bad. I was considering using one of my trmnl displays, but it isn’t quite the right operating model for the frequency of updates I want.
Ended up installing a better microphone attached to a RPi3A+ and using a RaspberyPi 4 which I already owned for hosting BirdNET-Go https://maciejb.me/posts/birdnet-go-setup/
Much better sound quality now!
The journey to a magical, free bird sound ID app involves some obvious steps (the NSF gave them money), but the amount of timeline offramps is really high. The NSF didn't think this app was educational ("it's just telling them the answer, they don't even have to work for it!"), the funding ran out so they were thinking of charging money, eBird happened to have five years of bird sound recordings they could use, a computer vision guy on the team happened to learn that spectrograms are basically the same as pictures...
And the result is tremendously useful! They get great signal on where birds are, and they're making people so much more interested in birds and nature and science. And I think charging $1 for the app or, shudder, some sort of subscription model might've ruined the whole thing.
Unless a species has a really, really unique call or song, I've made it my personal rule to get eyes on it and, if I'm still not convinced, to take a picture and cross reference with iNaturalist and what folks on there think of it.
I've learned to curse the species that differ from others by the sheen of the backs of the males' necks or the angle of a wingbar. Also, gulls that only differ by things like the color of their feet or beaks.
Personal best for a single session is 23 birds in my back garden over the course of a couple of coffees. I have though spent a fair bit of time making the garden as attractive to different types of bird as possible - mainly through having a variety of different shaped feeders with different feed in. I can recommend the NatureSpy camera feeder too [0] - though I have had to modify it a little to make the food hole smaller otherwise magpies empty the thing in a single day just chucking all the seed on the floor. Dickheads.
[0] https://naturespy.org/collections/wifi-solar-bird-feeder-nes...
Case I used to make it portable and fit the display https://makerworld.com/en/models/1336154-portable-pi-sdr-cas...
I made a change to the markdown card sometime ago that uses only `U+2581` through `U+ 2587` instead to avoid that issue.
It's under a collapsed block here:
https://www.kyleniewiada.org/blog/2025/05/backyard-bird-trac...
Input is three RTSP streams from various Reolink PoE cameras around our house, and it is pretty cool to be able to find and listen to the birds/frogs that come.
Any advice on how to go about this.
My current plan is to put multiple cameras at the mouth of the chimney opening which is about 42"x42"(1mx1m).
Does this sound realistic to anyone with experience?
Here's one example: https://github.com/sammlapp/ovenbird-individual-recognition
My impression is that the hardest part is knowing whether or not you're actually doing a good job. For vocal learners (like the ovenbird example linked above), it seems to be pretty easy using embeddings from existing models (like perch or birdnet). For non-learning species (possibly including your swifts), you can use timbre clues to differentiate many individuals, but may not be able to really nail down individual identity.
Came to say birdnet is fantastic but, at least in Australia, it regularly identifies calls with low probability (which are often wrong / skewed for location, but sometimes correct). Meaning you still need some wits about you. That said, it can correctly identify multiple birds in a single chorus which is cool. Just need to keep an eye out for those false positives.
GLM 5.3 helped to root my camera so I could get proper endpoints for PTZ and stream. Claude built the api and frontend, hosted on Home Assistant.
Inspired by AvianVisitors [1] I made a similar project [2] with an android app for bird detection using Perch, and then displays the birds detected during the last 24 hours with nice art on a samsung frame tv in "art mode".
If you dont want to repurpose an old android device, my app also supports bird detections from birdnet-go and birdweather. It should be plug and play with this project.
Have a look at [1] https://theodore.net/projects/AvianVisitors/ [2] https://github.com/simenf/birdframe
I like this project. I have been using security cams around my place to keep track of animals meandering across the property. It's the best use for an outdoor solar-powered webcam if you ask me. You can get a feel for which animal to expect based on time of day or other characteristics. You also recognize those who regularly visit. I have a one-eyed raccoon that has been showing up for almost two years now. It's a female and the last time she visited the monitored fountain she had 5 rambunctious raccoonlets.
The future mostly sucks but some parts are pretty cool.
Core use-case : push a message every time my dog is eating my shoes.
I do need to tune the false positives though.
I like the idea of doing something with the timestamp of the recording, or highlighting new (or recently unheard) visitors.
https://alec.is/posts/building-a-solar-powered-bird-station/
I'm also working on a little project that is a walnut frame with a waveshare eink display and esp32 that polls for latest detection and display the picture.
I’m a pretty unhinged sorta engineer, so I actually recently created a 24/7 weather TV channel that combines real-time bird alerts, weather radar, timelapses and a sky cam feed (just a UniFi camera mounted on my home’s roof PV).
https://www.youtube.com/live/sAC3o6KW2N0
Watchable from every TV in the house and shows the birds photo and name when it hears one. Whole thing is a single cursed FFMPEG command.
though i would be hopeful for bird audio, as differentiating their calls is something the birds themselves excel at, so it could very well be a great usecase for ai
> No cloud services. No API calls.
> No subscription fees. No terms of service changes. No company shutting down the service in two years.
I really gotta set mine up!
I’m using a AudioMoth USB mic so I can capture extremely high sample rate and also ultrasonic for bat detections.
https://github.com/simonjgreen/OpenObservatory
Disclaimer: I’m also using this to see how far I can push supervised pure AI coding before it turns to mega slop, so know that before you dive in with the disparaging comments :D
(i have a few https://www.birdweather.com/ devices strewn across North America and Europe because I am time poor and preferred a turnkey solution for those gifted to, but love the DIY efforts! no affiliation!)
[1] https://www.openhomefoundation.org/
[2] https://news.ycombinator.com/item?id=45582907 (citations)
(you either go the path of a burner or a birdie, I don't make the rules)
I see AI as a useful tool, but doing art with it is extremely bland compared to the real thing. I can't eben begin to describe what people who let the machine do the art miss out on.
Edit: Wow that's insane that your comment was flagged.
I'd still vote for her over the alternative the Republicans chose to offer to us (and did so). It was the only responsible thing to do.
would have been a great Mr. Robot episode