Features
- Detects birds sounds in an RTSP and RTMP streams (both commonly provided by security cameras), as well as YouTube live streams and HTTP streams
- Detection powered by BirdNET-Analyzer from the Cornell Lab of Ornithology and Chemnitz University of Technology
- Works on amd64 compatible hardware (which is most PCs) and arm64 compatible hardware (which covers many single board computers like the Raspberry Pi 4)
- Fully container based for easy management
- Integrated with Apprise for notifications via SMS, email, and many more
- MQTT publications for integration with other software systems, like Home Assistant
- See it in action!. The demo monitors the audio from the Cornell feeder cam at Sapsucker Woods.
