{"id":17190,"date":"2023-05-16T22:33:58","date_gmt":"2023-05-17T02:33:58","guid":{"rendered":"https:\/\/scruss.com\/blog\/?p=17190"},"modified":"2025-10-09T18:12:21","modified_gmt":"2025-10-09T22:12:21","slug":"the-joy-of-birdnetpi","status":"publish","type":"post","link":"https:\/\/scruss.com\/blog\/2023\/05\/16\/the-joy-of-birdnetpi\/","title":{"rendered":"The Joy of BirdNetPi"},"content":{"rendered":"\n

I don’t think I’ve had as much enjoyment for a piece of software for a very long time as I’ve had with BirdNET-Pi<\/a>. It’s a realtime acoustic bird classification system for the Raspberry Pi. It listens through a microphone you place somewhere near where you can hear birds, and it’ll go off and guess what it’s hearing, using a cut-down version of the BirdNET Sound ID<\/a> model. It does this 24\/7, and saves the samples it hears. You can then go to a web page (running on the same Raspberry Pi) and look up all the species it has heard.<\/p>\n\n\n\n

Our Garden<\/h2>\n\n\n\n
\"a<\/figure>\n\n\n\n

Not very impressive, kind of overgrown, in the wrong part of town. Small, too. But birds love it. At this time of year, it’s alive<\/em> with birds. You can’t make them out, but there’s a pair of Rose-breasted Grosbeak<\/a>s happily snacking near the top of the big tree. There are conifers next door too, so we get birds we wouldn’t expect.<\/p>\n\n\n\n

We are next to two busy subway\/train stations, and in between two schools. There’s a busy intersection nearby, too. Consequently, the background noise is horrendous<\/p>\n\n\n\n

What I used<\/h2>\n\n\n\n

This was literally \u201cstuff I had lying around\u201d:<\/p>\n\n\n\n