mirror of
https://github.com/blakeblackshear/frigate.git
synced 2025-12-10 00:07:21 -06:00
21623113b5
Currently translated at 11.1% (11 of 99 strings) Translated using Weblate (Vietnamese) Currently translated at 12.2% (12 of 98 strings) Translated using Weblate (Vietnamese) Currently translated at 62.0% (370 of 596 strings) Translated using Weblate (Vietnamese) Currently translated at 92.3% (12 of 13 strings) Translated using Weblate (Vietnamese) Currently translated at 69.2% (27 of 39 strings) Translated using Weblate (Vietnamese) Currently translated at 100.0% (10 of 10 strings) Co-authored-by: Hosted Weblate <hosted@weblate.org> Co-authored-by: John Nguyen <thongnguyen.uit@gmail.com> Translate-URL: https://hosted.weblate.org/projects/frigate-nvr/components-auth/vi/ Translate-URL: https://hosted.weblate.org/projects/frigate-nvr/views-classificationmodel/vi/ Translate-URL: https://hosted.weblate.org/projects/frigate-nvr/views-events/vi/ Translate-URL: https://hosted.weblate.org/projects/frigate-nvr/views-exports/vi/ Translate-URL: https://hosted.weblate.org/projects/frigate-nvr/views-settings/vi/ Translation: Frigate NVR/components-auth Translation: Frigate NVR/views-classificationmodel Translation: Frigate NVR/views-events Translation: Frigate NVR/views-exports 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.
