NVR with realtime local object detection for IP cameras
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Add object classification attributes to Tracked Object Details (#21348)
* attributes endpoint

* event endpoints

* add attributes to more filters

* add to suggestions and query in explore

* support attributes in search input

* i18n

* add object type filter to endpoint

* add attributes to tracked object details pane

* add generic multi select dialog

* save object attributes endpoint

* add group by param to fetch attributes endpoint

* add attribute editing to tracked object details

* docs

* fix docs

* update openapi spec to match python
2025-12-18 08:35:47 -06:00
.cspell Miscellaneous Fixes (#21241) 2025-12-12 07:45:03 -06:00
.cursor/rules Implement Wizard for Creating Classification Models (#20622) 2025-10-23 13:27:28 -06:00
.devcontainer Initial implementation of D-FINE model via ONNX (#16772) 2025-02-24 08:56:01 -07:00
.github Align node versions used in GHA PR workflow (#21302) 2025-12-16 20:28:35 -07:00
.vscode Fix vscode launch configuration (#13795) 2024-09-17 10:42:10 -05:00
config Improve the devcontainer experience (#3492) 2022-11-20 07:34:12 -06:00
docker Update peewee-migrate to 0.14.x (#21243) 2025-12-13 07:13:04 -07:00
docs Add object classification attributes to Tracked Object Details (#21348) 2025-12-18 08:35:47 -06:00
frigate Add object classification attributes to Tracked Object Details (#21348) 2025-12-18 08:35:47 -06:00
migrations Update peewee-migrate to 0.14.x (#21243) 2025-12-13 07:13:04 -07:00
notebooks Update YOLO_NAS_Pretrained_Export.ipynb (#19669) 2025-08-20 14:59:43 -05:00
web Add object classification attributes to Tracked Object Details (#21348) 2025-12-18 08:35:47 -06:00
.dockerignore Improve the devcontainer experience (#3492) 2022-11-20 07:34:12 -06:00
.gitignore chore: i18n use cache key (#20885) 2025-11-14 09:36:46 -06:00
.pylintrc use fstr log style 2021-02-25 07:01:59 -06:00
audio-labelmap.txt Audio events (#6848) 2023-07-01 08:18:33 -05:00
benchmark_motion.py use a different method for blur and contrast to reduce CPU (#6940) 2023-06-30 07:27:31 -05:00
benchmark.py Fix go2rtc init (#18708) 2025-08-16 10:20:33 -05:00
CODEOWNERS Initial support for Hailo-8L (#12431) 2024-08-29 20:19:50 -06:00
cspell.json Work through most of the cspell warnings in python (#13794) 2024-09-17 10:41:46 -05:00
docker-compose.yml Devcontainer: update Mosquitto from 1.6 to 2.0 (#17415) 2025-03-27 10:33:49 -06:00
generate_config_translations.py Add script to generate english config translation file from config (#20301) 2025-10-01 07:39:43 -05:00
labelmap.txt Cleanup Detector labelmap (#4932) 2023-01-06 07:03:16 -06:00
LICENSE clarify trademark and license interaction (#21019) 2025-11-23 08:42:48 -07:00
Makefile chore: i18n use cache key (#20885) 2025-11-14 09:36:46 -06:00
netlify.toml Docs improvements (#8641) 2023-11-18 08:04:43 -06:00
package-lock.json Implement support for notifications (#12523) 2024-08-29 20:19:50 -06:00
process_clip.py Improve async object detector support (#17712) 2025-04-15 08:55:38 -05:00
pyproject.toml Fix various typing issues (#18187) 2025-05-13 08:27:20 -06:00
README_CN.md classification i18n fix (#21331) 2025-12-17 15:26:11 -07:00
README.md clarify trademark and license interaction (#21019) 2025-11-23 08:42:48 -07:00
TRADEMARK.md clarify trademark and license interaction (#21019) 2025-11-23 08:42:48 -07:00

logo

Frigate NVR™ - Realtime Object Detection for IP Cameras

License: MIT

Translation status
English

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 LLC 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

Live dashboard

Streamlined review workflow

Streamlined review workflow

Multi-camera scrubbing

Multi-camera scrubbing

Built-in mask and zone editor

Multi-camera scrubbing

Translations

We use Weblate to support language translations. Contributions are always welcome.

Translation status

Copyright © 2025 Frigate LLC.