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* Add cutoff for object classification * Add selector for classifiction model type * Improve model selection view * Clean up design of classification card * Tweaks * Adjust button colors * Improvements to gradients and making face library consistent * Add basic classification model wizard * Use relative coordinates * Properly get resolution * Clean up exports * Cleanup * Cleanup * Update to use pre-defined component for image shadow * Refactor image grouping * Clean up mobile * Clean up decision logic * Remove max check on classification objects * Increase default number of faces shown * Cleanup * Improve mobile layout * Clenaup * Update vocabulary * Fix layout * Fix page * Cleanup * Choose last item for unknown objects * Move explore button * Cleanup grid * Cleanup classification * Cleanup grid * Cleanup * Set transparency * Set unknown * Don't filter all configs * Check length
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.
