mirror of
https://github.com/blakeblackshear/frigate.git
synced 2025-09-26 19:41:29 +08:00
9653aead10
Currently translated at 16.9% (20 of 118 strings) Translated using Weblate (Bulgarian) Currently translated at 45.6% (21 of 46 strings) Translated using Weblate (Bulgarian) Currently translated at 42.0% (77 of 183 strings) Translated using Weblate (Bulgarian) Currently translated at 62.2% (266 of 427 strings) Co-authored-by: Hosted Weblate <hosted@weblate.org> Co-authored-by: Plamen Stoyanov <fireto@gmail.com> Translate-URL: https://hosted.weblate.org/projects/frigate-nvr/audio/bg/ Translate-URL: https://hosted.weblate.org/projects/frigate-nvr/common/bg/ Translate-URL: https://hosted.weblate.org/projects/frigate-nvr/components-camera/bg/ Translate-URL: https://hosted.weblate.org/projects/frigate-nvr/objects/bg/ Translation: Frigate NVR/audio Translation: Frigate NVR/common Translation: Frigate NVR/components-camera Translation: Frigate NVR/objects
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.
