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.

12694
Total Detections
All time
41
Species Detected
All time
✓ Live
System Status
Active monitoring

Activity Overview

Daily counts, hourly rhythm, and top species

Daily Detections

Last 14 days

2026-01-21 534
2026-01-22 366
2026-01-23 263
2026-01-24 213
2026-01-25 207
2026-01-26 426
2026-01-27 476
2026-01-28 337
2026-01-29 318
2026-01-30 437
2026-01-31 377
2026-02-01 345
2026-02-02 381
2026-02-03 294

Average Hourly Activity

Average detections per hour (last 14 days)

Loading hourly activity chart...

Featured Photos

Beautiful bird photography from the Wasatch Front

Photography by Zachary Kane

Downy Woodpecker

Downy Woodpecker

Dryobates pubescens

Red-tailed Hawk

Red-tailed Hawk

Buteo jamaicensis

California Quail

California Quail

Callipepla californica

Spotted Towhee

Spotted Towhee

Pipilo maculatus

Woodhouse's Scrub-Jay

Woodhouse's Scrub-Jay

Aphelocoma woodhouseii

American Robin

American Robin

Turdus migratorius

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.