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* use react-jsonschema-form for UI config * don't use properties wrapper when generating config i18n json * configure for full i18n support * section fields * add descriptions to all fields for i18n * motion i18n * fix nullable fields * sanitize internal fields * add switches widgets and use friendly names * fix nullable schema entries * ensure update_topic is added to api calls this needs further backend implementation to work correctly * add global sections, camera config overrides, and reset button * i18n * add reset logic to global config view * tweaks * fix sections and live validation * fix validation for schema objects that can be null * generic and custom per-field validation * improve generic error validation messages * remove show advanced fields switch * tweaks * use shadcn theme * fix array field template * i18n tweaks * remove collapsible around root section * deep merge schema for advanced fields * add array field item template and fix ffmpeg section * add missing i18n keys * tweaks * comment out api call for testing * add config groups as a separate i18n namespace * add descriptions to all pydantic fields * make titles more concise * new titles as i18n * update i18n config generation script to use json schema * tweaks * tweaks * rebase * clean up * form tweaks * add wildcards and fix object filter fields * add field template for additionalproperties schema objects * improve typing * add section description from schema and clarify global vs camera level descriptions * separate and consolidate global and camera i18n namespaces * clean up now obsolete namespaces * tweaks * refactor sections and overrides * add ability to render components before and after fields * fix titles * chore(sections): remove legacy single-section components replaced by template * refactor configs to use individual files with a template * fix review description * apply hidden fields after ui schema * move util * remove unused i18n * clean up error messages * fix fast refresh * add custom validation and use it for ffmpeg input roles * update nav tree * remove unused * re-add override and modified indicators * mark pending changes and add confirmation dialog for resets * fix red unsaved dot * tweaks * add docs links, readonly keys, and restart required per field * add special case and comments for global motion section * add section form special cases * combine review sections * tweaks * add audio labels endpoint * add audio label switches and input to filter list * fix type * remove key from config when resetting to default/global * don't show description for new key/val fields * tweaks * spacing tweaks * add activity indicator and scrollbar tweaks * add docs to filter fields * wording changes * fix global ffmpeg section * add review classification zones to review form * add backend endpoint and frontend widget for ffmpeg presets and manual args * improve wording * hide descriptions for additional properties arrays * add warning log about incorrectly nested model config * spacing and language tweaks * fix i18n keys * networking section docs and description * small wording tweaks * add layout grid field * refactor with shared utilities * field order * add individual detectors to schema add detector titles and descriptions (docstrings in pydantic are used for descriptions) and add i18n keys to globals * clean up detectors section and i18n * don't save model config back to yaml when saving detectors * add full detectors config to api model dump works around the way we use detector plugins so we can have the full detector config for the frontend * add restart button to toast when restart is required * add ui option to remove inner cards * fix buttons * section tweaks * don't zoom into text on mobile * make buttons sticky at bottom of sections * small tweaks * highlight label of changed fields * add null to enum list when unwrapping * refactor to shared utils and add save all button * add undo all button * add RJSF to dictionary * consolidate utils * preserve form data when changing cameras * add mono fonts * add popover to show what fields will be saved * fix mobile menu not re-rendering with unsaved dots * tweaks * fix logger and env vars config section saving use escaped periods in keys to retain them in the config file (eg "frigate.embeddings") * add timezone widget * role map field with validation * fix validation for model section * add another hidden field * add footer message for required restart * use rjsf for notifications view * fix config saving * add replace rules field * default column layout and add field sizing * clean up field template * refactor profile settings to match rjsf forms * tweaks * refactor frigate+ view and make tweaks to sections * show frigate+ model info in detection model settings when using a frigate+ model * update restartRequired for all fields * fix restart fields * tweaks and add ability enable disabled cameras more backend changes required * require restart when enabling camera that is disabled in config * disable save when form is invalid * refactor ffmpeg section for readability * change label * clean up camera inputs fields * misc tweaks to ffmpeg section - add raw paths endpoint to ensure credentials get saved - restart required tooltip * maintenance settings tweaks * don't mutate with lodash * fix description re-rendering for nullable object fields * hide reindex field * update rjsf * add frigate+ description to settings pane * disable save all when any section is invalid * show translated field name in validation error pane * clean up * remove unused * fix genai merge * fix genai
Frigate NVR™ - 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 is highly recommended. AI accelerators will outperform even the best CPUs with very little overhead. See Frigate's supported object detectors.
- 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.
License
This project is licensed under the MIT License.
- Code: The source code, configuration files, and documentation in this repository are available under the MIT License. You are free to use, modify, and distribute the code as long as you include the original copyright notice.
- Trademarks: The "Frigate" name, the "Frigate NVR" brand, and the Frigate logo are trademarks of Frigate, Inc. and are not covered by the MIT License.
Please see our Trademark Policy for details on acceptable use of our brand assets.
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.
Copyright © 2026 Frigate, Inc.