mirror of
https://github.com/blakeblackshear/frigate.git
synced 2025-08-22 13:47:29 +02:00
NVR with realtime local object detection for IP cameras
aicameragoogle-coralhome-assistanthome-automationhomeautomationmqttnvrobject-detectionrealtimertsptensorflow
8b68940953
Currently translated at 37.2% (16 of 43 strings) Translated using Weblate (Italian) Currently translated at 24.5% (29 of 118 strings) Translated using Weblate (Italian) Currently translated at 79.3% (339 of 427 strings) Translated using Weblate (Italian) Currently translated at 67.2% (287 of 427 strings) Translated using Weblate (Italian) Currently translated at 100.0% (21 of 21 strings) Translated using Weblate (Italian) Currently translated at 100.0% (43 of 43 strings) Translated using Weblate (Italian) Currently translated at 4.7% (5 of 106 strings) Translated using Weblate (Italian) Currently translated at 100.0% (25 of 25 strings) Translated using Weblate (Italian) Currently translated at 100.0% (170 of 170 strings) Translated using Weblate (Italian) Currently translated at 59.4% (254 of 427 strings) Translated using Weblate (Italian) Currently translated at 23.7% (28 of 118 strings) Translated using Weblate (Italian) Currently translated at 52.2% (223 of 427 strings) Translated using Weblate (Italian) Currently translated at 13.5% (16 of 118 strings) Translated using Weblate (Italian) Currently translated at 38.8% (166 of 427 strings) Translated using Weblate (Italian) Currently translated at 11.8% (14 of 118 strings) Translated using Weblate (Italian) Currently translated at 24.8% (106 of 427 strings) Translated using Weblate (Italian) Currently translated at 15.9% (68 of 427 strings) Translated using Weblate (Italian) Currently translated at 15.6% (67 of 427 strings) Translated using Weblate (Italian) Currently translated at 96.4% (164 of 170 strings) Translated using Weblate (Italian) Currently translated at 100.0% (170 of 170 strings) Co-authored-by: Anonymous <noreply@weblate.org> Co-authored-by: Gringo <ita.translations@tiscali.it> Co-authored-by: Hosted Weblate <hosted@weblate.org> Co-authored-by: RAZ0RBECK <razorbeck@protonmail.com> Translate-URL: https://hosted.weblate.org/projects/frigate-nvr/audio/it/ Translate-URL: https://hosted.weblate.org/projects/frigate-nvr/common/it/ Translate-URL: https://hosted.weblate.org/projects/frigate-nvr/components-camera/it/ Translate-URL: https://hosted.weblate.org/projects/frigate-nvr/components-player/it/ Translate-URL: https://hosted.weblate.org/projects/frigate-nvr/objects/it/ Translate-URL: https://hosted.weblate.org/projects/frigate-nvr/views-events/it/ Translate-URL: https://hosted.weblate.org/projects/frigate-nvr/views-explore/it/ Translate-URL: https://hosted.weblate.org/projects/frigate-nvr/views-facelibrary/it/ Translation: Frigate NVR/audio Translation: Frigate NVR/common Translation: Frigate NVR/components-camera Translation: Frigate NVR/components-player Translation: Frigate NVR/objects Translation: Frigate NVR/views-events Translation: Frigate NVR/views-explore Translation: Frigate NVR/views-facelibrary |
||
|---|---|---|
| .cspell | ||
| .devcontainer | ||
| .github | ||
| .vscode | ||
| config | ||
| docker | ||
| docs | ||
| frigate | ||
| migrations | ||
| notebooks | ||
| web | ||
| .dockerignore | ||
| .gitignore | ||
| .pylintrc | ||
| audio-labelmap.txt | ||
| benchmark_motion.py | ||
| benchmark.py | ||
| CODEOWNERS | ||
| cspell.json | ||
| docker-compose.yml | ||
| labelmap.txt | ||
| LICENSE | ||
| Makefile | ||
| netlify.toml | ||
| package-lock.json | ||
| process_clip.py | ||
| pyproject.toml | ||
| README_CN.md | ||
| README.md | ||
Frigate - NVR With Realtime Object Detection for IP Cameras
EnglishA 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.
