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* materialize event counts in metrics endpoint The metrics endpoint stored a lazy peewee query on the shared Prometheus collector, and collect() ran it later. Overlapping scrapes run in separate threadpool threads, so two requests could execute and step the same query's sqlite cursor at once. The rows are now read with list() before they reach the collector. * fix fps overflow restarting ffmpeg after 3 seconds instead of 3 retry intervals This is a regression from 0.18. The watchdog has restarted ffmpeg after 3 consecutive fps overflow checks since #13651, which was 3 retry intervals (30s by default) when the loop ran every retry_interval. #21297 moved the loop to 1s ticks without converting the count, so the window shrank to 3s. camera_fps is a 10s average, so one burst of buffered frames after a stream hiccup could keep it over the limit long enough to restart a healthy camera, and the next reconnect burst could repeat it. The threshold is now 3 * retry_interval ticks. When the count filled while restarts were still rate limited, the watchdog logged "Exiting ffmpeg...", marked the camera offline and reset the count without restarting. The check now waits for can_restart, so the log, status and restart always happen together. * keep recording cleanup running after a failed pass An exception anywhere in a cleanup pass, such as an OSError from a read-only or unmounted storage path, ended the recording cleanup thread with nothing logged. Retention stopped until restart, and recordings, previews and database rows kept growing. Each pass now logs the exception and the loop continues. * expose frigate_camera_events as a gauge The metric reports the current count of events in the database, which drops when retention prunes old events. As a counter, each prune read as a counter reset, so increase() and rate() inflated event counts. The series name changes from frigate_camera_events_total to frigate_camera_events. The test's porch/inside assertion was missing its `in event.text` and always passed. * keep uvicorn idle connections open longer than nginx's upstream keepalive uvicorn closed idle connections after its 5s default while nginx kept them pooled for 60s, so a request nginx sent on a connection uvicorn was closing got a 502. nginx retries that on a fresh connection for most methods, but not for POST or PATCH. * snapshot websocket clients under the manager lock in the output loop The output loop iterated ws4py's live websocket dict without its lock, so a client connecting or disconnecting mid-iteration raised "dictionary changed size during iteration" and killed the output loop. It now copies the clients under manager.lock once per frame and skips terminated ones, matching the jsmpeg and birdseye broadcasters. * only cache preview frames when recording is enabled The segment-end check tested the record config object instead of record.enabled, and the first frame after startup was written unconditionally. With recording disabled, the first segment still cached frames and encoded a preview. * fix untranslated unknown resolution text in camera info dialog * detect all AMD GPUs from vainfo The vainfo check only matched "AMD Radeon Graphics", so drivers reporting names like "AMD Radeon Vega 8 Graphics", "AMD Radeon RX 6600", "AMD Custom GPU 0405", or older codename strings fell through and their GPU stats were collected as Intel. It now matches Mesa's "for AMD" driver string. * return a 500 instead of raising when go2rtc is unreachable The two go2rtc stream GETs had no exception handling or timeout, so a go2rtc outage raised a connection error with a traceback, and a hung go2rtc held the request open indefinitely. Both now catch request errors, log the cause, and use a timeout. The per-stream probe gets a 35s read timeout because go2rtc probes each source in turn, and one unresponsive source takes about 10s. * retry camera snapshots after a failed load AutoUpdatingCameraImage only scheduled the next frame from onLoad, so a single failed latest.webp request froze the image until the component remounted. It now retries on error, dropping the periodic cache key so the retry requests a fresh URL. * reuse pooled upstream connections for nginx auth subrequests The /auth subrequest proxied to a variable address, which nginx can't pool, and its location-level headers dropped the inherited Connection header so nginx sent Connection: close. Every authenticated request opened and closed its own loopback connection to the API. It now proxies to the frigate_api upstream with an empty Connection header so the keepalive pool is reused.
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.
Description
NVR with realtime local object detection for IP cameras
aicameragoogle-coralhome-assistanthome-automationhomeautomationmqttnvrobject-detectionrealtimertsptensorflow
Readme
MIT
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