mirror of
https://github.com/blakeblackshear/frigate.git
synced 2025-09-26 11:31:28 +08:00
b036eb612a
Currently translated at 2.6% (3 of 114 strings) Translated using Weblate (Greek) Currently translated at 8.3% (4 of 48 strings) Translated using Weblate (Greek) Currently translated at 3.5% (3 of 85 strings) Translated using Weblate (Greek) Currently translated at 44.4% (4 of 9 strings) Translated using Weblate (Greek) Currently translated at 3.2% (4 of 124 strings) Translated using Weblate (Greek) Currently translated at 8.6% (4 of 46 strings) Translated using Weblate (Greek) Currently translated at 2.6% (5 of 191 strings) Co-authored-by: Christos Sidiropoulos <dev@csidirop.de> Co-authored-by: Hosted Weblate <hosted@weblate.org> Translate-URL: https://hosted.weblate.org/projects/frigate-nvr/common/el/ Translate-URL: https://hosted.weblate.org/projects/frigate-nvr/components-camera/el/ Translate-URL: https://hosted.weblate.org/projects/frigate-nvr/views-explore/el/ Translate-URL: https://hosted.weblate.org/projects/frigate-nvr/views-exports/el/ Translate-URL: https://hosted.weblate.org/projects/frigate-nvr/views-live/el/ Translate-URL: https://hosted.weblate.org/projects/frigate-nvr/views-search/el/ Translate-URL: https://hosted.weblate.org/projects/frigate-nvr/views-system/el/ Translation: Frigate NVR/common Translation: Frigate NVR/components-camera Translation: Frigate NVR/views-explore Translation: Frigate NVR/views-exports Translation: Frigate NVR/views-live Translation: Frigate NVR/views-search 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.
