The developer introduced the Fugleramme system for visualizing birds through AI

Developer Arne Giacomo introduced Fugleramme — a device based on Raspberry Pi, which recognizes birdsong in real time and visualizes it in the style of 19th-century illustrations. The system uses a microphone to capture the audio stream and outputs the finished image to an E-ink display. The project is based on the BirdNET-Go library, which is responsible for identifying bird species by sound patterns. After determining the species, the system turns to a generative model to create a stylized image. The software part is written in the Go language, which provides low resource consumption when working on a single-board computer. The device is designed for autonomous operation in home conditions. The use of E-ink technology allows minimizing energy consumption, keeping the image on the screen without constant power supply. The project is distributed with open source code, which allows users to independently configure recognition parameters and illustration generation styles. The integration of audio analytics with generative models on compact hardware demonstrates the possibilities of local data processing without the need to access cloud APIs. The source code and assembly instructions are available in the project's official repository, where community discussion of improvements is also being conducted.