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             (run.sh) (https://github.com/arnegiacomo/fugleramme/blob/main/run.sh) run.sh        (run.sh) (https://github.com/arnegiacomo/fugleramme/blob/main/run.sh) run.sh              (uv.lock) (https://github.com/arnegiacomo/fugleramme/blob/main/uv.lock) uv.lock        (uv.lock) (https://github.com/arnegiacomo/fugleramme/blob/main/uv.lock) uv.lock            View all files       Repository files navigation  (fugleramme.html#)    README   (fugleramme.html#)    Contributing   (fugleramme.html#)    MIT license     Moreitems               fugleramme (fugleramme.html#fugleramme)     E-ink bird frame for Raspberry Pi - real-time bird detection by audio, fully local AI, rendered as real, hand-cut 1800s bird illustrations. (https://github.com/arnegiacomo/fugleramme/blob/main/docs/assets/hero.jpg) (The frame on a kitchen windowsill showing six birds heard in the garden, a window feeder on the glass behind it)  Sorry about the dirty window - squirrels have been stealing the bird food.  (https://fugleramme.arnegiacomo.dev) (Live demo)  (https://github.com/arnegiacomo/fugleramme/releases) (Latest release)  (https://github.com/arnegiacomo/fugleramme/actions/workflows/ci.yml) (CI)  (https://github.com/arnegiacomo/fugleramme/commits/main) (Last commit)  (https://github.com/arnegiacomo/fugleramme/stargazers) (Stars)  (https://github.com/arnegiacomo/fugleramme/graphs/contributors) (Contributors)  (fugleramme.html#license) (License: MIT, artwork CC BY-SA 4.0)  (fugleramme.html#art) (Artwork)  (fugleramme.html#art) (Species)     Note Still in early development: expect the odd bug and a few unpolished edges, with plenty more features to come.  Live on (https://fugleramme.arnegiacomo.dev) fugleramme.arnegiacomo.dev  running from my kitchen window and displaying the actual birds currently heard in my garden (Bergen, Norway). Hardware, install and operations docs: (https://arnegiacomo.dev/fugleramme/) arnegiacomo.dev/fugleramme   How it works (fugleramme.html#how-it-works)     (https://github.com/tphakala/birdnet-go) BirdNET-Go listens on a mic and handles the
classifier. Fugleramme polls its api, matches each species to
an illustration, then packs them onto a page, and redraws only when the birds change - on
an (https://shop.pimoroni.com/products/inky-impression) Inky Impression e-ink panel, and
as a web kiosk serving the same view. There's an admin page that lets you configure what
to show, and automatic updates and such. If you already run BirdNET-Go, point the frame at it instead - on the same machine or anywhere else reachable from your network.   Tip The e-ink panel is not required, although it's recommended for the intended experience. Without one, Fugleramme runs web-only - show the
kiosk on a display over HDMI, or open it from any device on the network.  Hardware (fugleramme.html#hardware)     A Raspberry Pi 5, an (https://shop.pimoroni.com/products/inky-impression) Inky Impression 13.3" (Spectra 6), a mic and an A4 frame. Full parts list, recommendations and alternatives: (https://github.com/arnegiacomo/fugleramme/blob/main/docs/hardware.md) Hardware  . Art (fugleramme.html#art)     Half the point of this project is showing off some amazing public-domain natural-history
illustrations. Over 800 cut-outs covering more than 400 species, every one taken from a
real plate and hand-curated for this project (no art is AI-generated, though some has been
retouched with AI). Each detected species is matched to its illustration, background-removed, and packed onto
a textured paper page with the larger birds toward the centre, sized by body mass. An empty
window shows a bare perch. The plates are Scandinavian, British and central European, so the Nordics, the British Isles and Germany
are best covered. Elsewhere not so much (yet). Broader European and North American
coverage is in the works! See (https://github.com/arnegiacomo/fugleramme/blob/main/docs/adding-artwork.md) Adding artwork for manual cutout steps. No detections A few visitors A full garden   (https://github.com/arnegiacomo/fugleramme/blob/main/docs/assets/empty.png) (No birds detected)   (https://github.com/arnegiacomo/fugleramme/blob/main/docs/assets/few.png) (A few garden birds)   (https://github.com/arnegiacomo/fugleramme/blob/main/docs/assets/many.png) (Many garden birds)       Inspiration and related projects (fugleramme.html#inspiration-and-related-projects)     The look came from a (https://www.axelthorenfeldt.com/news/wwf-verdens-naturfonds-fugleskole) WWF Verdens naturfond poster by Axel Thorenfeldt hanging on my wall, the live-frame idea from (https://theodore.net/projects/AvianVisitors/) AvianVisitors that I saw on Instagram,
and the detection from (https://github.com/tphakala/birdnet-go) BirdNET-Go - I wanted a version of that poster showing the actual birds in my garden. Similar projects: (https://github.com/Twarner491/AvianVisitors) AvianVisitors - BirdNET-Pi, AI-generated illustrations and photo cutouts (https://github.com/veteranbv/inky-bird-frame) inky-bird-frame - BirdNET, field-journal illustrations on an Inky panel (https://github.com/adamoberley/HABirdDashboard) HABirdDashboard - BirdNET-Go, a collage card for Home Assistant (https://github.com/Belkins/belkins-birdnet) belkins-birdnet - BirdNET-Pi, AI-generated kachō-e style illustrations  Fugleramme shares no code or art with them. Run locally (for development) (fugleramme.html#run-locally-for-development)     uv sync # set up venv uv run fugleramme-fake-detector # stand-in BirdNET-Go on :8090 uv run fugleramme-dev # start service on :8080 with hot-reload   The fake detector's flags, and working against a real station instead: (https://github.com/arnegiacomo/fugleramme/blob/main/CONTRIBUTING.md#running-it-without-a-pi) Running it without a Pi . Install on a Raspberry Pi (fugleramme.html#install-on-a-raspberry-pi)     From the pi (assuming you have the hardware up and running): curl -fsSL https://raw.githubusercontent.com/arnegiacomo/fugleramme/main/install.sh | bash  Asks where BirdNET-Go should live and which ports to use, clones the repo, installs the required deps, and starts the frame as a systemd service. NB! Will probably require a reboot on a fresh system. From a blank SD card, see the full (https://github.com/arnegiacomo/fugleramme/blob/main/docs/install.md) install guide . Run in a container (fugleramme.html#run-in-a-container)     docker run -d -p 8080:8080 -v fugleramme:/data \
  -e FUGLERAMME_DETECTOR_URL=http://birdnet.local:8080 \
  ghcr.io/arnegiacomo/fugleramme  Or build the image from a checkout: docker build -t fugleramme . docker run --rm -p 8080:8080 -v fugleramme:/data \
  -e FUGLERAMME_DETECTOR_URL=http://birdnet.local:8080 fugleramme  Kiosk on :8080 , admin on :8080/admin , everything it persists in /data . On a Linux box with a USB mic, this brings up BirdNET-Go alongside it: curl -fsSL https://raw.githubusercontent.com/arnegiacomo/fugleramme/main/examples/docker-compose.yml -o docker-compose.yml
docker compose up -d  See (https://github.com/arnegiacomo/fugleramme/blob/main/docs/container.md) Container  for more info. Contributing (fugleramme.html#contributing)     Contributions are very welcome and encouraged - fixes, docs and artwork most of all. Thanks to (https://github.com/arnegiacomo/fugleramme/graphs/contributors) everyone who has contributed so far ❤️ Something is broken - a (https://github.com/arnegiacomo/fugleramme/issues/new/choose) bug report  A question, an idea, or a frame you have built - the (https://arnegiacomo.dev/fugleramme/faq/) FAQ first, then (https://github.com/arnegiacomo/fugleramme/discussions) Discussions  A fix, a doc change, or a bird you have cut - open a PR, no issue needed  See (https://github.com/arnegiacomo/fugleramme/blob/main/CONTRIBUTING.md) Contributing  for more info. License (fugleramme.html#license)     Code: MIT - see (https://github.com/arnegiacomo/fugleramme/blob/main/LICENSE) LICENSE  . Detection ((https://github.com/tphakala/birdnet-go) BirdNET-Go , installed
separately as a container): CC BY-NC-SA 4.0, non-commercial only. BirdNET model
by the Cornell Lab of Ornithology and Chemnitz University of Technology,
taxonomy data powered by eBird.org. Bird images: each style folder carries its own terms and sources, and its
manifest links the plate every file was cut from. classic is
CC BY-SA 4.0 - see (https://github.com/arnegiacomo/fugleramme/blob/main/assets/artwork/classic/ATTRIBUTION.md) assets/artwork/classic/ATTRIBUTION.md  . Label fonts (assets/fonts/ ): SIL OFL 1.1 - see (https://github.com/arnegiacomo/fugleramme/blob/main/assets/fonts/ATTRIBUTION.md) assets/fonts/ATTRIBUTION.md  . Bird sizes (assets/bird_sizes.csv ): body mass from AVONET (Tobias et al.
2022, Ecology Letters, (https://doi.org/10.1111/ele.13898) doi:10.1111/ele.13898 ),
CC BY 4.0. BirdNET scientific-name aliases (assets/birdnet_aliases.json ): (https://github.com/tphakala/openfauna) OpenFauna 's compiled taxonomic alias
map, CC BY-SA 4.0 - see (https://github.com/arnegiacomo/fugleramme/blob/main/assets/ATTRIBUTION.md) assets/ATTRIBUTION.md  .  Prebuilt frames (fugleramme.html#prebuilt-frames)     I've built a few of these. If you'd like one rather than building it yourself,
please (https://arnegiacomo.dev/) get in touch .          About  E-ink bird frame for Raspberry Pi - real-time bird detection by audio, fully local AI, rendered as real, hand-cut 1800s bird illustrations.   (http://arnegiacomo.dev/fugleramme/) (http://arnegiacomo.dev/fugleramme/) arnegiacomo.dev/fugleramme/   Topics  (https://github.com/topics/bird-detection) bird-detection (https://github.com/topics/birding) birding (https://github.com/topics/birdnet) birdnet (https://github.com/topics/birdnet-go) birdnet-go (https://github.com/topics/birdwatching) birdwatching (https://github.com/topics/docker) docker (https://github.com/topics/e-ink) e-ink (https://github.com/topics/epaper) epaper (https://github.com/topics/homelab) homelab (https://github.com/topics/inky-impression) inky-impression (https://github.com/topics/kiosk-software) kiosk-software (https://github.com/topics/pimoroni) pimoroni (https://github.com/topics/public-domain-art) public-domain-art (https://github.com/topics/python) python (https://github.com/topics/raspberry-pi) raspberry-pi (https://github.com/topics/self-hosted) self-hosted  Resources  (fugleramme.html#readme-ov-file)   Readme   (fugleramme.html#MIT-1-ov-file)   MIT license   Contributing  (fugleramme.html#contributing-ov-file)   Contributing   (https://github.com/arnegiacomo/fugleramme/activity)   Activity   Stars    1.3k stars  Watchers    5 watching  Forks  (https://github.com/arnegiacomo/fugleramme/forks)   33  forks   (https://github.com/contact/report-content?content_url=https%3A%2F%2Fgithub.com%2Farnegiacomo%2Ffugleramme&report=arnegiacomo+%28user%29) Report repository    Releases     Sponsor this project    Packages    Contributors    Languages                            Footer (https://github.com)    © 2026 GitHub, Inc.   Footer navigation (https://docs.github.com/site-policy/github-terms/github-terms-of-service) Terms  (https://docs.github.com/site-policy/privacy-policies/github-privacy-statement) Privacy  (https://github.com/security) Security  (https://www.githubstatus.com/) Status  (https://github.community/) Community  (https://docs.github.com/) Docs  (https://support.github.com?tags=dotcom-footer) Contact  Manage cookies    Do not share my personal information              You can’t perform that action at this time.