Every species. Every site. Every day.
Every bird that enters the frame gets a name, a timestamp, and the footage attached. The feed runs every day, dawn to dusk.
Probability a species is present in any given hour.
A camera at the feeder runs object detection and a species classifier trained on North American birds, on a dedicated edge AI device. A microphone alongside it feeds audio into BirdNET — Cornell Lab's open-source sound classifier — so birds calling from the trees are captured too, not just visitors at the feeder. Audio identifications are logged separately from visits, and every observation has source footage in the full broadcast preserved on YouTube.
BirdNET listens to everything calling around the feeder — including birds the camera never sees. The chart shows what was heard, hour by hour.
Audio identification powered by BirdNET, Cornell Lab of Ornithology. CC BY-NC-SA 4.0.
Origin · Beyond
My wife pulls up Birds of Virginia on her phone every time something new lands at the feeder. Nothing wrong with that. It just means for the few seconds the bird is actually there, we're looking at a screen instead of the bird.
So I built a camera that does the identifying. The system around it keeps doing it after we go inside. Dawn to dusk, every day. Species, time, duration, and the footage each ID came from. All of it kept.
Or leave an email. We'll write when something happens.
Thanks. We'll be in touch.
Building something nearby? Want to host a node? [email protected]