mirror of
https://github.com/blakeblackshear/frigate.git
synced 2025-09-26 19:41:29 +08:00
2fc70c62a5
Currently translated at 100.0% (113 of 113 strings) Translated using Weblate (Portuguese) Currently translated at 62.7% (209 of 333 strings) Translated using Weblate (Portuguese) Currently translated at 100.0% (48 of 48 strings) Translated using Weblate (Portuguese) Currently translated at 100.0% (54 of 54 strings) Translated using Weblate (Portuguese) Currently translated at 100.0% (111 of 111 strings) Translated using Weblate (Portuguese) Currently translated at 100.0% (65 of 65 strings) Translated using Weblate (Portuguese) Currently translated at 100.0% (48 of 48 strings) Translated using Weblate (Portuguese) Currently translated at 100.0% (177 of 177 strings) Translated using Weblate (Portuguese) Currently translated at 81.4% (92 of 113 strings) Translated using Weblate (Portuguese) Currently translated at 57.0% (190 of 333 strings) Translated using Weblate (Portuguese) Currently translated at 85.4% (41 of 48 strings) Translated using Weblate (Portuguese) Currently translated at 86.7% (46 of 53 strings) Translated using Weblate (Portuguese) Currently translated at 88.2% (98 of 111 strings) Translated using Weblate (Portuguese) Currently translated at 100.0% (24 of 24 strings) Translated using Weblate (Portuguese) Currently translated at 95.8% (46 of 48 strings) Translated using Weblate (Portuguese) Currently translated at 76.2% (135 of 177 strings) Translated using Weblate (Portuguese) Currently translated at 100.0% (118 of 118 strings) Translated using Weblate (Portuguese) Currently translated at 44.4% (190 of 427 strings) Translated using Weblate (Portuguese) Currently translated at 67.7% (120 of 177 strings) Co-authored-by: Hosted Weblate <hosted@weblate.org> Co-authored-by: Interlig <haylanzinho@gmail.com> Co-authored-by: Ivan Martins Pereira <vodikus@users.noreply.hosted.weblate.org> Co-authored-by: Peter Williams BA Hons MBCS <hello@p-williams.com> Co-authored-by: Артём Владимиров <artyomka71@gmail.com> Translate-URL: https://hosted.weblate.org/projects/frigate-nvr/audio/pt/ Translate-URL: https://hosted.weblate.org/projects/frigate-nvr/common/pt/ Translate-URL: https://hosted.weblate.org/projects/frigate-nvr/components-dialog/pt/ Translate-URL: https://hosted.weblate.org/projects/frigate-nvr/components-filter/pt/ Translate-URL: https://hosted.weblate.org/projects/frigate-nvr/objects/pt/ Translate-URL: https://hosted.weblate.org/projects/frigate-nvr/views-events/pt/ Translate-URL: https://hosted.weblate.org/projects/frigate-nvr/views-explore/pt/ Translate-URL: https://hosted.weblate.org/projects/frigate-nvr/views-facelibrary/pt/ Translate-URL: https://hosted.weblate.org/projects/frigate-nvr/views-search/pt/ Translate-URL: https://hosted.weblate.org/projects/frigate-nvr/views-settings/pt/ Translate-URL: https://hosted.weblate.org/projects/frigate-nvr/views-system/pt/ Translation: Frigate NVR/audio Translation: Frigate NVR/common Translation: Frigate NVR/components-dialog Translation: Frigate NVR/components-filter Translation: Frigate NVR/objects Translation: Frigate NVR/views-events Translation: Frigate NVR/views-explore Translation: Frigate NVR/views-facelibrary Translation: Frigate NVR/views-search Translation: Frigate NVR/views-settings Translation: Frigate NVR/views-system
Frigate - NVR With 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 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.
