A realtime acoustic bird classification system for the Raspberry Pi 4B, 3B+, and 0W2 built on the TFLite version of BirdNET. - GitHub - mcguirepr89/BirdNET-Pi: A realtime acoustic bird classificati...
Not the most conventional application for self-hosting, but thought it might make for a fun weekend project for someone.
BirdNET-Pi is built off the back of Cornell University’s BirdNET Sound ID neural network model (https://birdnet.cornell.edu/). It can be used to classify what birds are in your vicinity by listening to their calls.
It largely depends on the surrounding environment in which you are going to place the device. In my case, I need to use a shotgun due to a highway nearby.
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This is a very cool idea! What microphone would be well suited for this purpose?
There’s a Github discussion post which is all about that topic. Worth checking it out for advice.
https://github.com/mcguirepr89/BirdNET-Pi/discussions/39
It largely depends on the surrounding environment in which you are going to place the device. In my case, I need to use a shotgun due to a highway nearby.
Careful with the birds!