# fugleramme

> Self-hosted bird detection frame using BirdNET-Go for real-time audio ID and hand-cut 1800s illustrations on e-ink, TVs, or any screen.

- **Category:** Home Automation
- **Licence:** MIT
- **Latest version:** v0.29.0
- **Open source:** oss
- **Languages:** Python
- **Platforms:** Docker Compose, Raspberry Pi
- **Tags:** Raspberry Pi, Homelab, Docker, Python, Self Hosted, E ink, Birdnet, Wildlife, Epaper, Birding, Bird Detection, Birdwatching, Nature, Audio Classification, Inky Impression, Birdnet Go, Kiosk Software, Public Domain Art, Pimoroni

## Description

Fugleramme is a self-hosted bird detection frame that listens to audio via a microphone, uses BirdNET-Go running locally to identify bird species in real-time, and renders the detected birds as a collage of hand-cut public-domain natural history illustrations from the 1800s. It can run on a Raspberry Pi with an Inky Impression e-ink panel, or as a container on any Linux machine, NAS, or homelab server. The frame delivers the collage over HTTP so it can display on e-ink panels, HDMI screens, TVs, Samsung Frame TVs, or as a desktop wallpaper. It includes an admin interface for configuration, supports 40+ languages for species names, and the artwork covers 650+ species with nearly 1200 hand-curated illustrations.

## Links

- [Homepage](https://github.com/arnegiacomo/fugleramme)
- [Website](http://arnegiacomo.dev/fugleramme/)
- [Docker](ghcr.io/arnegiacomo/fugleramme)
- [Demo](https://fugleramme.arnegiacomo.dev)
- [GitHub Repository](https://github.com/arnegiacomo/fugleramme)
- [Showcase](http://arnegiacomo.dev/fugleramme/showcase/)
- [FAQ](http://arnegiacomo.dev/fugleramme/faq/)
- [GitHub Discussions](https://github.com/arnegiacomo/fugleramme/discussions)

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Source: https://selfhost.directory/project/fugleramme