AWARD YEAR
2021
CATEGORY
Play & Learning
GOALS
Quality Education
KEYWORDS
artificial intelligence, recognition, bird, app
COUNTRY
United States of America
DESIGNED BY
Cornell Lab of Ornithology
WEBSITE
https://birdnet.cornell.edu/
BirdNET: Bird sound identification
Assist experts and citizen scientists in their work of monitoring and protecting our birds.
How can computers learn to recognize birds from sounds? The BirdNET research project uses artificial intelligence and neural networks to train computers to identify nearly 1,000 of the most common species of North America and Europe.
The Andriod App demo lets you record a file using the internal microphone of your Android device and an artificial neural network will tell you the most probable bird species present in your recording. We use the native sound recording feature of smartphones and tablets as well as the GPS-service to make predictions based on location and date.
It is a joint effort of the Cornell Lab of Ornithology and the Chemnitz University of Technology.