<!-- mobian-agent-page publisher="dailydev" canonical="https://daily.dev/posts/track-bird-visitors-with-a-raspberry-pi-and-a-usb-mic-quf0nkinp" -->

---
title: Track Bird Visitors With A Raspberry Pi And A USB Mic
description: Avian Visitors is a Raspberry Pi project that uses a USB microphone and BirdNET — Cornell's deep learning classifier capable of identifying over 11,000 bird...
canonical: https://daily.dev/posts/track-bird-visitors-with-a-raspberry-pi-and-a-usb-mic-quf0nkinp
twitter:card: summary_large_image
twitter:site: @dailydotdev
og:type: website
og:site_name: daily.dev
og:title: Track Bird Visitors With A Raspberry Pi And A USB Mic | daily.dev
og:description: Avian Visitors is a Raspberry Pi project that uses a USB microphone and BirdNET — Cornell's deep learning classifier capable of identifying over 11,000 bird...
og:url: https://daily.dev/posts/track-bird-visitors-with-a-raspberry-pi-and-a-usb-mic-quf0nkinp
og:image: https://api.daily.dev/og/posts/quF0NkinP.png
og:image:alt: Track Bird Visitors With A Raspberry Pi And A USB Mic
og:image:width: 1200
og:image:height: 630
og:locale: en
---

> ## Documentation Index
> Fetch the complete documentation index at: https://daily.dev/llms.txt
> Use this file to discover all available pages before exploring further.

# Track Bird Visitors With A Raspberry Pi And A USB Mic

**[Hackaday](https://daily.dev/sources/hackaday)** · 2 min read · 8 upvotes · 0 comments

## Summary

Avian Visitors is a Raspberry Pi project that uses a USB microphone and BirdNET — Cornell's deep learning classifier capable of identifying over 11,000 bird species by sound — to track which birds visit your home. It generates a visual collage where bird image size reflects visit frequency, displays results on a web interface, and optionally shows a 24-hour summary on a color E-Ink panel. The system also supports Home Assistant and MQTT integration for automation triggers based on specific species. The full build is available on GitHub.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://hackaday.com/2026/08/08/track-bird-visitors-with-a-raspberry-pi-and-a-usb-mic>

## Questions this post answers

### How can I identify birds by sound using a Raspberry Pi?

Use a Raspberry Pi with a USB microphone running BirdNET, a deep learning classifier from Cornell that can identify over 11,000 bird species from audio alone. The open-source Avian Visitors project builds on BirdNET to log detections, serve a web interface, and optionally drive a color E-Ink display showing a 24-hour collage of visitors sized by detection frequency.

_daily.dev surfaces maker projects like this for developers building their own Raspberry Pi audio classifiers._

## Similar posts on daily.dev

- [The Birds Outside, Drawn For You Automatically](https://daily.dev/posts/the-birds-outside-drawn-for-you-automatically-vkfwgjpnm) · Hackaday · 0 upvotes · 0 comments
- [This Raspberry Pi 5 e-ink project listens to your garden and draws the birds it hears](https://daily.dev/posts/this-raspberry-pi-5-e-ink-project-listens-to-your-garden-and-draws-the-birds-it-hears-ejjaltulr) · XDA Developers · 1 upvotes · 1 comments
- [This lovely Raspberry Pi e-ink project shows you birds that have been spotted in your area](https://daily.dev/posts/this-lovely-raspberry-pi-e-ink-project-shows-you-birds-that-have-been-spotted-in-your-area-hgly7ixet) · XDA Developers · 0 upvotes · 0 comments
- [Birduino: A card-triggered audio player for \[learning\] the birds](https://daily.dev/posts/birduino-a-card-triggered-audio-player-for-learning-the-birds-gwiczby5d) · Hacker News · 0 upvotes · 0 comments

---

Tags: [#hardware](https://daily.dev/tags/hardware), [#deep-learning](https://daily.dev/tags/deep-learning), [#raspberry-pi](https://daily.dev/tags/raspberry-pi)

[View this post on daily.dev](https://daily.dev/posts/track-bird-visitors-with-a-raspberry-pi-and-a-usb-mic-quf0nkinp)

```json
{"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]}
{"@context":"https://schema.org","@type":"TechArticle","headline":"Track Bird Visitors With A Raspberry Pi And A USB Mic","url":"https://daily.dev/posts/track-bird-visitors-with-a-raspberry-pi-and-a-usb-mic-quf0nkinp","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/track-bird-visitors-with-a-raspberry-pi-and-a-usb-mic-quf0nkinp"},"datePublished":"2026-08-08T23:21:03.653Z","dateModified":"2026-09-14T08:48:38.900Z","description":"Avian Visitors is a Raspberry Pi project that uses a USB microphone and BirdNET — Cornell's deep learning classifier capable of identifying over 11,000 bird...","image":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/505f15983d26ecfab9c7ad8d2943427c?_a=AQAEuop","thumbnailUrl":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/505f15983d26ecfab9c7ad8d2943427c?_a=AQAEuop","isAccessibleForFree":true,"articleSection":"Hackaday","inLanguage":"en","publisher":{"@type":"Organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180}},"author":{"@type":"Organization","name":"Hackaday","logo":"https://media.daily.dev/image/upload/s--JhDfhy70--/f_auto,q_auto/v1767541814/logos/hackaday","url":"https://daily.dev/sources/hackaday"},"commentCount":0,"discussionUrl":"https://daily.dev/posts/track-bird-visitors-with-a-raspberry-pi-and-a-usb-mic-quf0nkinp","interactionStatistic":[{"@type":"InteractionCounter","interactionType":{"@type":"LikeAction"},"userInteractionCount":8},{"@type":"InteractionCounter","interactionType":{"@type":"CommentAction"},"userInteractionCount":0}],"keywords":"hardware,deep-learning,raspberry-pi","timeRequired":"PT2M"}
{"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"Hackaday","item":"https://daily.dev/sources/hackaday"},{"@type":"ListItem","position":3,"name":"Track Bird Visitors With A Raspberry Pi And A USB Mic"}]}
{"@context":"https://schema.org","@type":"FAQPage","@id":"https://daily.dev/posts/track-bird-visitors-with-a-raspberry-pi-and-a-usb-mic-quf0nkinp#faq","mainEntity":[{"@type":"Question","name":"How can I identify birds by sound using a Raspberry Pi?","acceptedAnswer":{"@type":"Answer","text":"Use a Raspberry Pi with a USB microphone running BirdNET, a deep learning classifier from Cornell that can identify over 11,000 bird species from audio alone. The open-source Avian Visitors project builds on BirdNET to log detections, serve a web interface, and optionally drive a color E-Ink display showing a 24-hour collage of visitors sized by detection frequency. daily.dev surfaces maker projects like this for developers building their own Raspberry Pi audio classifiers."}}]}
```

