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NVR with realtime local object detection for IP cameras

ai camera google-coral home-assistant home-automation homeautomation mqtt nvr object-detection realtime rtsp tensorflow

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Hosted Weblate afd64625fb Translated using Weblate (Swedish) Currently translated at 52.0% (13 of 25 strings) Translated using Weblate (Swedish) Currently translated at 100.0% (9 of 9 strings) Translated using Weblate (Swedish) Currently translated at 38.1% (45 of 118 strings) Translated using Weblate (Swedish) Currently translated at 16.4% (28 of 170 strings) Translated using Weblate (Swedish) Currently translated at 33.7% (144 of 427 strings) Translated using Weblate (Swedish) Currently translated at 26.2% (31 of 118 strings) Translated using Weblate (Swedish) Currently translated at 33.4% (143 of 427 strings) Translated using Weblate (Swedish) Currently translated at 32.7% (140 of 427 strings) Translated using Weblate (Swedish) Currently translated at 16.4% (28 of 170 strings) Translated using Weblate (Swedish) Currently translated at 30.2% (129 of 427 strings) Translated using Weblate (Swedish) Currently translated at 12.7% (15 of 118 strings) Translated using Weblate (Swedish) Currently translated at 15.8% (27 of 170 strings) Translated using Weblate (Swedish) Currently translated at 25.7% (110 of 427 strings) Co-authored-by: Coffe <effocs@gmail.com> Co-authored-by: Daniel Nylander <daniel@danielnylander.se> Co-authored-by: Fredrik B <fredrik@brannvall.nu> Co-authored-by: Hosted Weblate <hosted@weblate.org> Co-authored-by: hassos246 <fluffsy@gmail.com> Co-authored-by: tubalainen <tubstr76@gmail.com> Translate-URL: https://hosted.weblate.org/projects/frigate-nvr/audio/sv/ Translate-URL: https://hosted.weblate.org/projects/frigate-nvr/common/sv/ Translate-URL: https://hosted.weblate.org/projects/frigate-nvr/components-auth/sv/ Translate-URL: https://hosted.weblate.org/projects/frigate-nvr/components-player/sv/ Translate-URL: https://hosted.weblate.org/projects/frigate-nvr/objects/sv/ Translation: Frigate NVR/audio Translation: Frigate NVR/common Translation: Frigate NVR/components-auth Translation: Frigate NVR/components-player Translation: Frigate NVR/objects		2025-04-15 07:05:00 -05:00
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docs	Refactor yolov9 detector to support v3, v4, v7 as well (#17697 )	2025-04-14 16:05:41 -05:00
frigate	Refactor yolov9 detector to support v3, v4, v7 as well (#17697 )	2025-04-14 16:05:41 -05:00
migrations	Small tweaks (#17168 )	2025-03-15 07:11:45 -06:00
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.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	Simplify plus submit (#15941 )	2025-01-11 07:04:11 -07:00
CODEOWNERS	Initial support for Hailo-8L (#12431 )	2024-08-29 20:19:50 -06:00
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docker-compose.yml	Devcontainer: update Mosquitto from 1.6 to 2.0 (#17415 )	2025-03-27 10:33:49 -06:00
labelmap.txt	Cleanup Detector labelmap (#4932 )	2023-01-06 07:03:16 -06:00
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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	Refactor manual event api to use ZMQ (#17105 )	2025-03-11 22:31:05 -05:00
pyproject.toml	Docs improvements (#8641 )	2023-11-18 08:04:43 -06:00
README_CN.md	Update README_CN (#17581 )	2025-04-07 08:32:43 -06:00
README.md	Small Tweaks (#17652 )	2025-04-11 08:21:01 -06:00

README.md

Frigate - NVR With Realtime Object Detection for IP Cameras

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 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.