Camera-first
Designed around real camera feeds, snapshots, clips and observations.
Open-source wildlife monitoring
AI-powered wildlife observation for cameras, edge devices and gardens.
WAMF captures wildlife activity, detects visitors, classifies species, stores observations and helps turn camera feeds into useful insight.
v0.4 platform stabilisation
- Camera capture and media retention
- Species observations and metadata
- Frigate integration today
- Abstraction layer planned for v0.5
- Edge devices planned for v0.6
Features
Built for practical wildlife monitoring.
Species records
Store sightings, media, timestamps and useful species metadata.
Retention tools
Clean up old media and keep storage from growing into a digital bramble patch.
Extensible roadmap
Future support for multiple sources, RTSP feeds and edge inference nodes.
Roadmap
Current direction.
Platform and Bird Lab stabilisation
Admin UI, retention, logging, live camera view, documentation and deployment polish.
Abstraction layer
Decouple capture and detection sources so WAMF can support more input methods.
Edge devices
Distributed capture and inference, including Raspberry Pi and other edge nodes.
Start with the docs, then visit the code.
Use this site as WAMF’s public front door. Keep the deeper technical details in the docs repo.