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Josh HawkinsandGitHub
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* fix auto quality recovery after a downswitch The downswitch callback armed the upswitch probe, but `triggerDownswitch` reset the stall history right after the callback returned, which disarmed it again. Auto quality stayed on the sub stream until the next chunk boundary no matter how much the connection recovered. The governor now arms the probe itself after the reset. The chunk boundary effect also ran on mount, so when coverage was already cached it immediately undid the low quality cold start the seed effect had just picked. It now only runs when the chunk actually changes. * fix recording playback quality switches and silent codec failures A quality switch changes `bufferLength` a commit before the new source arrives, and since it was a dependency of the hls.js setup effect, the player rebuilt once on the outgoing playlist (jumping back to its original `startPosition`) and again on the new one. The buffer length now updates the running instance's config instead. A fatal codec error with no lower quality stream to fall back to did nothing at all, so playback just sat there with no message. It now shows the playback failure toast, which is also limited to once per source since hls.js and the video element can both report the same failure. * retry failed WebRTC probes and skip offline streams The connectivity probe only ever tried the first go2rtc stream and cached its result for the whole page session, so a single offline camera at the top of the go2rtc config marked WebRTC unreachable for every camera until a reload, as did any brief network hiccup. The probe now starts with the stream being viewed and moves on to the next one when go2rtc reports that it can't open the stream's source. A failed result is only reused for 30 seconds, and it's retried on the next mount or when the page becomes visible again. * fix two-way talk on cameras with AAC audio The mic button was enabled whenever WebRTC was globally available, but the live view only switched to the WebRTC player when the stream itself qualified for WebRTC, and AAC playback audio disqualifies it. On most cameras the mic showed as on while nothing was sent. Two-way talk only needs the stream's video to connect since the backchannel is sent, not received, so AAC playback audio no longer blocks it. The mic is also turned off when a stream switch makes talk unavailable. * keep Frigate+ model references when saving the models section `/api/config` served a Frigate+ model's path as the resolved `/config/model_cache/<id>` file, and since the models list is saved whole, editing any model in the settings UI wrote that cache path back to the config in place of `plus://<id>`. After a restart the model loaded as a custom model with the default labelmap. The config API now reports the `plus://<id>` reference the model was configured with, and the models section drops the fields the Frigate+ model info supplies (size, tensor, pixel format, dtype, and type) instead of pinning them in the config. * allow models to share shareable detection hardware The hardware picker treated every device another model listed as taken, so a second model couldn't pick an Intel GPU or the CPU that the first one already used. The backend only rejects reuse of devices that can't be shared (Coral, MemryX), so the picker now matches that and only marks exclusive units as claimed. * fix model card state and camera counts in the models editor Model cards were keyed by index, so deleting one handed its state (such as the selected model source tab) to the card after it. Cards are keyed by scene now, which is unique per model. The camera count on each card also ignored the backend's fallback to the `all` model, so a camera whose detect scene had no model of its own wasn't counted anywhere. It's counted under `all` now, which also feeds the recommended detector count. * share a unit's temperature across repeated detector devices Detector temperatures were matched to units by counting detectors of each type, so a device listed twice to run a second inference process (`hailo:PCIe` and `hailo:PCIe#2`) showed the next unit's temperature, or none at all. Distinct devices are numbered now and repeats share their unit's reading. * update monitored hardware after a runtime config swap `swap_runtime_config` rebound the stats emitter to the new config but not its `HardwareStats`, which kept polling hardware for the old config and applied camera updates to the discarded object. It now follows the swap along with its camera update subscriber. * time out model downloads that never respond `download_from_url` had no timeout, so a proxy or server that accepted the connection and never answered hung the download forever, including runtime downloads during startup. Connect and read timeouts now fail it like any other download error. The read timeout applies per socket read, so large models still finish. * resolve segment start times in segment order A camera stream's cached segments are probed concurrently, and each one chained its start off `last_segment_end` as soon as its own probe finished. When segments backed up in the cache and a later probe finished first, it chained off the wrong segment and the earlier one then moved `last_segment_end` backwards, so rows lost their exact adjacency. Probes still run concurrently, but each segment now waits for the one before it to settle its start before resolving its own. * plan exports from the same coverage the vod route serves The vod manifest nulls video-only glitch rows on audio-bearing streams, but exports planned their stream runs from the raw coverage, so a glitch row could produce a mixed-stream file or a 404 that failed the export. `null_audio_glitches` now works out each stream's audio composition itself, and exports go through it like the manifest and its realized timelines do. An unstaged auto export also paged its playlist and chapters over main whenever main had any rows in range, even when the manifest served the range from sub and main only contributed glitches or slivers at the edges. It now reads the rows of the stream its single run actually uses. * keep staged export chapters aligned across stream hand-offs Each staged run of a mixed-stream export is rendered from its own pinned vod playlist, and that playlist's first clip snaps back to the preceding keyframe, so every staged file runs up to a GOP longer than its slice of the merged timeline. Chapters were placed on the merged timeline, so they drifted further from the video at every hand-off. Chapter windows for staged exports are now planned the same way each run's playlist is, carrying that keyframe lead-in into the offsets. * clarify which hardware units only one model can use * add e2e tests for shareable hardware and Frigate+ model saves * only show the path field for a Frigate+ model without an API key Without `PLUS_API_KEY` the models editor has no Frigate+ tab, so a `plus://` model showed every custom model field. The size, format, type, and labelmap fields are all supplied by the Frigate+ model info and ignored for a Frigate+ model, so editing them did nothing. Only the path is shown now, which still lets the model be switched to a custom one. * keep a configured input_dtype when saving a Frigate+ model The backend only overwrites `input_dtype` when the Frigate+ model info supplies `inputDataType`, which older models don't, so a configured dtype still matters for them. Saving the models section was dropping it along with the fields the backend always overwrites. * probe every go2rtc stream until one isn't refused The probe stopped after three streams, so with three offline cameras ahead of a working one, WebRTC was marked unreachable everywhere. It only moves past a stream when go2rtc refuses it, which is quick, and a stream that hangs still ends the probe at its timeout, so the cap bought nothing. * only reuse a failed WebRTC probe for the stream it started from A failed probe was reused for 30 seconds by every caller, so a camera whose stream timed out kept WebRTC unavailable for the next camera viewed, including one opened while that probe was still running. A pass still counts for every stream since it proves the connection, but a failure is only reused by probes that start from the same stream. * strip input_dtype from Frigate+ models again A Frigate+ model's config comes entirely from its model info, and a missing `inputDataType` means the `int` default. Keeping `input_dtype` meant switching from a custom model with `input_dtype: float` to a Frigate+ model carried the stale dtype over, with the field hidden so it couldn't be corrected.
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.