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* feat: add zones friendly name * fix: fix the issue where the input field was empty when there was no friendly_name * chore: fix the issue where the friendly name would replace spaces with underscores * docs: update zones docs * Update web/src/components/settings/ZoneEditPane.tsx Co-authored-by: Josh Hawkins <32435876+hawkeye217@users.noreply.github.com> * Add friendly_name option for zone configuration Added optional friendly name for zones in configuration. * fix: fix the logical error in the null/empty check for the polygons parameter * fix: remove the toast name for zones will use the friendly_name instead * docs: remove emoji tips * revert: revert zones doc ui tips * Update docs/docs/configuration/zones.md Co-authored-by: Josh Hawkins <32435876+hawkeye217@users.noreply.github.com> * Update docs/docs/configuration/zones.md Co-authored-by: Josh Hawkins <32435876+hawkeye217@users.noreply.github.com> * Update docs/docs/configuration/zones.md Co-authored-by: Josh Hawkins <32435876+hawkeye217@users.noreply.github.com> * feat: add friendly zone names to tracking details and lifecycle item descriptions * chore: lint fix * refactor: add friendly zone names to timeline entries and clean up unused code * refactor: add formatList --------- Co-authored-by: Josh Hawkins <32435876+hawkeye217@users.noreply.github.com>
Frigate - NVR With Realtime Object Detection for IP Cameras
[English] | 简体中文
A complete and local NVR designed for Home Assistant with AI object detection. Uses OpenCV and Tensorflow to perform realtime object detection locally for IP cameras.
Use of a GPU or AI accelerator such as a Google Coral or Hailo is highly recommended. AI accelerators will outperform even the best CPUs with very little overhead.
- Tight integration with Home Assistant via a custom component
- Designed to minimize resource use and maximize performance by only looking for objects when and where it is necessary
- Leverages multiprocessing heavily with an emphasis on realtime over processing every frame
- Uses a very low overhead motion detection to determine where to run object detection
- Object detection with TensorFlow runs in separate processes for maximum FPS
- Communicates over MQTT for easy integration into other systems
- Records video with retention settings based on detected objects
- 24/7 recording
- Re-streaming via RTSP to reduce the number of connections to your camera
- WebRTC & MSE support for low-latency live view
Documentation
View the documentation at https://docs.frigate.video
Donations
If you would like to make a donation to support development, please use Github Sponsors.
Screenshots
Live dashboard
Streamlined review workflow
Multi-camera scrubbing
Built-in mask and zone editor
Translations
We use Weblate to support language translations. Contributions are always welcome.
