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Patrick McGuire
2021-10-13 18:03:35 -04:00
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A realtime acoustic bird classification system for the Raspberry Pi 4B A realtime acoustic bird classification system for the Raspberry Pi 4B
## Introduction ## Introduction
The BirdNET-Pi project is based on the BirdNet-Lite project and is able to recognize bird sounds from the microphone and the sound card in realtime. The system installs all needed services on the Raspberry Pi. The BirdNET-Pi project is built on the [TFLite version of BirdNET](https://github.com/kahst/BirdNET-Lite). It is able to recognize bird sounds from a USB sound card in realtime.
## Features ## Features
* 24/7 recording and BirdNET-Lite analysis * 24/7 recording and BirdNET-Lite analysis
@@ -54,7 +54,7 @@ The BirdNET-Pi system can be accessed from any web browser on the same network:
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. 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 ### Realtime Analysis Predictions View
The pre-built TFLite binaries for this project also support [the BirdNET-Demo](https://github.com/kahst/BirdNET-Demo), which I am currently testing for integration into the BirdNET-Pi. The pre-built TFLite binaries for this project also support [the BirdNET-Demo](https://github.com/kahst/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: ### Tips:
You can try to overclock your Pi by placing the following in your `/boot/config.txt` file: You can try to overclock your Pi by placing the following in your `/boot/config.txt` file: