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 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.
Just a tip. Double check the identification algorithm. Mine defaulted to the older, less accurate model. Things improved a lot once I changed it over!