Today, I set up my new Birdnet-Pi,a raspberry Pi, running an app that detects and identifies birds by their calls. This is my first half day of recording birds.
Image description: A screenshot of the Birdnet Pi web interface. At the top, it shows a breakdown of birds from that day, sorted by species and time. In order of total number of occurrences, the birds listed are Torresian Crow, Australasian Figbird, Noisy Miner, Barn Owl, Rainbow Lorikeet and Blue-faced Honeyeater. Beneath the list of birds, it shows a waveform graphic for the audio of the latest bird call identitied by the system. In this instance, a Torresian Crow.
I only set it up today, so it hasn't even been 24 hours yet, but 24/7 is the plan!
We haven't bothered with water proofing as it's set up on the back deck of my house, which is under a roof. We do have a plastic case for the Pi though, just to protect it from incidental environmental issues, but it's by no means water sealed.
Bird call ID is something that dedicated software excels at. They’re basically the perfect subject for it, since many bird species have calls that are very distinct on a spectrogram like the one in the OP. Examining the patterns in spectrograms manually is a method ornithologists have been using to identify birds since the 1950s.
You will occasionally get false positives from software, but if you’re keeping the audio it can be double checked fairly easily for anything results that seem ludicrous. It works well enough that the Cornell Lab of Ornithology has made it as easy as possible to migrate your data from their bird sound ID app directly to ebird for use in scientific studies.
I installed BirdNet-PI on an unused Pi 4 that I had last month. It's so cool, and I'm surprised to see some of the birds that it captures.
I really need to get a better mic placement, though. I've got my Pi set up behind my kitchen window (inside) and the mic (a small lavaliere mike) taped behind the mesh screen.
It's not capturing nearly as much as I'd like, say, if it were in my backyard.
I will say, though, that detection on BirdNet-Pi takes some time. When you compare it to something like the Merlin app with Sound ID, which has instant detection in real-time, it's a different beast.
For those of us without the skill or kit (me!), Cornell Labs Merlin Bird ID can do the live identification part in quite a pleasing manner on an Android phone. However, the logging and kit that is practical to leave running for 24 hours is probably beyond it.
To OP, I'd have thought better mikes would allow identification of quieter calls, and be better at avoiding misidentifying non-bird noise, so might still have value.
To OP, I'd have thought better mikes would allow identification of quieter calls, and be better at avoiding misidentifying non-bird noise, so might still have value.
I'll get back to you when I've got enough data to compare a cheap mic with a good mic
Just a re-purposed desktop USB mic at the moment. But I've been told that it works fine with the cheapest crappiest USB mics you can find, so I've ordered a couple of those, and will take the desktop mic back inside once I've got them setup