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.
middle half of visits typical visit (median) shortest to longest tenth
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
There once was a wife who pulled up Birds of Virginia on her phone every time something new landed at the feeder. Or the bird came and left too quickly for her to catch a good glimpse. Nothing wrong with that.
Her husband, a cameraman, put up a camera and built a device that streams the backyard feeder, names every bird that lands, and keeps track of what they do. 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? anfon@birdsuntold.com