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Currently translated at 100.0% (9 of 9 strings) Translated using Weblate (Portuguese) Currently translated at 100.0% (9 of 9 strings) Translated using Weblate (Portuguese) Currently translated at 100.0% (352 of 352 strings) Co-authored-by: Helder Santana <helder.santana@systemsbr.com.br> Co-authored-by: Hosted Weblate <hosted@weblate.org> Co-authored-by: Rodrigo Suzana <rms.suzana@gmail.com> Translate-URL: https://hosted.weblate.org/projects/frigate-nvr/views-exports/pt/ Translate-URL: https://hosted.weblate.org/projects/frigate-nvr/views-settings/pt/ 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.
