Realtime Acoustic Bird Classification
See our new real-time acoustic bird classification integration of our live streaming cameras and new Murrysville BirdNET autonomous bird listening station!
The real-time acoustic bird classification is an AI-Powered bird sound recognition algorithm called BirdNET developed by The K. Lisa Yang Center for Conservation Bioacoustics at the Cornell Lab of Ornithology and the Chair of Media Informatics at Chemnitz University of Technology. BirdNET focused on the detection and classification of avian sounds using machine learning and can currently identify around 3,000 of the world’s most common species. BirdNET is the bird identification software used in the popular Merlin App.
BirdNET an open-source software tool running on a small computer called the Raspberry Pi that you can build yourself and listen for birds in your backyard.
See the listening station here:
Murrysville, PA: Murrysville PA BirdNET
Migration Station: Migration Station BirdNET
Westmoreland Bird and Nature Club: WBNC BirdNET
Saint Vincent College, Latrobe , PA: Saint Vincent BirdNET
PixCams has recently added some of our live streaming cams to the BirdWeather APP powered by BirdNET. BirdWeather:
PA Bird Feeder 1: https://app.birdweather.com/stations/46
PA Bird Feeder 2: https://app.birdweather.com/stations/180
PA Wildlife 1: https://app.birdweather.com/stations/181
PA Wildlife 2: https://app.birdweather.com/stations/182
PA Wildlife 3: https://app.birdweather.com/stations/189
Hays Bald Eagles: https://app.birdweather.com/stations/186
USS Bald Eagles: https://app.birdweather.com/stations/191
MCP Wetlands: https://app.birdweather.com/stations/183
Owl PTZ: https://app.birdweather.com/stations/190
SVC Bird Feeder: https://app.birdweather.com/stations/266