BirdNET-Pi

A realtime acoustic bird classification system for the Raspberry Pi 4B

Icon made by Freepik from www.flaticon.com

Introduction

The BirdNET-Pi project is built on the TFLite version of BirdNET by @kahst using pre-built TFLite binaries by @PINTO0309 . It is able to recognize bird sounds from a USB sound card in realtime.

Check out birds from around the world

• My system in North Carolina, United States
  
• NatureStation.net in Johannesburg, South Africa
  
• Weiskirchen, Germany

Features

• 24/7 recording and BirdNET-Lite analysis
• Web interface access to all data and logs
• Automatic extraction of detected data (creating audio clips of detected bird sounds)
• Spectrograms available for all extractions
• BirdWeather integration (you will need to be issued a BirdWeather ID -- for now, request that from @timsterc here)
• MariaDB integration
• NoMachine remote desktop (for personal use only)
• Live audio stream
• Integrated phpSysInfo
• New species mobile notifications from Pushed.co (for iOS users only)
• Localisation supported

Requirements

• A Raspberry Pi 4B
• An SD Card with the 64-bit version of RaspiOS installed (Buster and Bullseye compatible) (download the latest here)
• A USB Microphone or Sound Card

Installation

Headless installation guide available HERE
Pre-installeld beta image available for testing HERE

The system can be installed with:

curl -s https://raw.githubusercontent.com/mcguirepr89/BirdNET-Pi/main/newinstaller.sh | bash

Access

The BirdNET-Pi system can be accessed from any web browser on the same network:

• http://birdnetpi.local

Access Credentials:

• Username:birdnet
• Password: The "CADDY_PWD" password set during installation

Uninstallation

/usr/local/bin/uninstall.sh && cd ~ && rm -drf BirdNET-Pi

Troubleshooting and Ideas

If you encounter any issues at any point, or have questions, comments, concerns, ideas, or want to share something, please take a look through the open and closed issues and the community discussions. PLEASE feel invited to open a new issue if you don't find the help you need. Likewise, please accept my invitation to start a new discussion to get a conversation started around your topic.

If you are not a GitHub user and need help, you can email me, but I hope you will consider making a GitHub account so that your questions can be answered here for others as well. I expect this project will attract more bird-enthusiasts than Linux-enthusiasts, so please don't feel like any question is too novice or, pardon the phrase, stupid to ask. I want to help!

Sharing

I hope that if you find BirdNET-Pi has been worth your time, you will share your setup, results, customizations, etc. HERE and will consider making your installation public.

ToDo, Notes, and Coming Soon

Internationalization:

The bird names are in English by default, but other localized versions are available. Please download the labels_l18n.zip file and replace the model/labels.txt with the corresponding language.

Realtime Analysis Predictions View

The pre-built TFLite binaries for this project also support the BirdNET-Demo, which I am currently testing for integration into the BirdNET-Pi. If you know anything about JavaScript and are willing to help, please let me know in the Live Analysis discussion.

Tips:

For some reason, the system seems to run more efficiently and the birds sound better when you the project :)