mirror of
https://github.com/blakeblackshear/frigate.git
synced 2026-02-02 06:23:42 +00:00
5a5cab1b8d
Currently translated at 52.0% (168 of 323 strings) Translated using Weblate (Portuguese) Currently translated at 97.6% (42 of 43 strings) Translated using Weblate (Portuguese) Currently translated at 100.0% (46 of 46 strings) Translated using Weblate (Portuguese) Currently translated at 76.6% (82 of 107 strings) Translated using Weblate (Portuguese) Currently translated at 71.1% (121 of 170 strings) Translated using Weblate (Portuguese) Currently translated at 36.2% (155 of 427 strings) Co-authored-by: Hosted Weblate <hosted@weblate.org> Co-authored-by: Interlig <haylanzinho@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/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/ Translation: Frigate NVR/audio Translation: Frigate NVR/common Translation: Frigate NVR/views-explore Translation: Frigate NVR/views-facelibrary Translation: Frigate NVR/views-search Translation: Frigate NVR/views-settings
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.
