Live Bird Detections
from the Wasatch Front
Real-time bird identification powered by BirdNET-Pi artificial intelligence. Watch as our AI system identifies birds by their calls and songs.
Activity Overview
Daily counts, hourly rhythm, and top species
Daily Detections
Last 14 days
Average Hourly Activity
Average detections per hour (last 14 days)
Top Species
Most detected birds
Featured Photos
Beautiful bird photography from the Wasatch Front
Photography by Zachary Kane
Detections Today
Birds identified on Feb 3, 2026
| Species | Confidence | Time |
|---|---|---|
|
Black-capped Chickadee
Poecile atricapillus
|
84% | Feb 3, 2026, 4:19 PM |
|
Black-capped Chickadee
Poecile atricapillus
|
70% | Feb 3, 2026, 4:19 PM |
|
Black-capped Chickadee
Poecile atricapillus
|
75% | Feb 3, 2026, 4:19 PM |
|
Black-capped Chickadee
Poecile atricapillus
|
93% | Feb 3, 2026, 4:17 PM |
|
Black-capped Chickadee
Poecile atricapillus
|
91% | Feb 3, 2026, 4:17 PM |
|
Black-capped Chickadee
Poecile atricapillus
|
79% | Feb 3, 2026, 4:17 PM |
|
Black-capped Chickadee
Poecile atricapillus
|
79% | Feb 3, 2026, 4:17 PM |
|
Black-capped Chickadee
Poecile atricapillus
|
74% | Feb 3, 2026, 4:16 PM |
|
Black-capped Chickadee
Poecile atricapillus
|
88% | Feb 3, 2026, 4:15 PM |
|
Black-capped Chickadee
Poecile atricapillus
|
88% | Feb 3, 2026, 4:15 PM |
What is BirdNET?
BirdNET is a research platform that uses artificial intelligence to identify bird species by their sounds. Developed by the Cornell Lab of Ornithology and Chemnitz University of Technology, it can recognize over 6,000 bird species worldwide.
Our BirdNET-Pi installation continuously monitors audio from the Wasatch Front in Utah, identifying birds in real-time and building a comprehensive database of local bird activity.