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NVR with realtime local object detection for IP cameras
aicameragoogle-coralhome-assistanthome-automationhomeautomationmqttnvrobject-detectionrealtimertsptensorflow
b8b07ee6e1
* [Init] Initial commit for Synaptics SL1680 NPU * add a rough detector which is testing with yolov8 tflite model. * [Feat] Add dependencies installation in docker build - Add runtime library and wheels installation in main/Dockerfile - Add model.synap(default model, transfer from mobilenet_224full80) in docker/synap1680 * [Update] Remove dependencies installation from main Dockerfile - remove deps installation from Dockerfile - add dependencies installation and split wheels, deps stage in synap1680 Dockerfile * Refactor synap detector to more closely match other implementations * [Update] Add model path configuration check * [Update] update ModelType to ssd * [Update] Remove unuse script - install_deps.sh has already been executing in deps download stage - Dockerfile.toolchain is for testing to extract runtime libraries from Synaptics toolchain * [Update] update Synaptics SL1680 setup description * [Update] remove install_synap1680 - The deps download and installation is existed in synap1680 * [Fix] update document content * [Update] Update detector from synap1680 to synaptics This update is in order to make the synaptics SL-series NPU detector more general. - Fix detector `os` module not import bug - Update detector type `synap1680` to `synaptics` - Update document description `SL1680` to `Synaptics` only - Update docker build content `synap1680` to `synaptics` * [Fix] Update configuration document * Update docs/docs/configuration/object_detectors.md Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com> * [Update] Update document content and detector default layout - Update object_detectors document - Update detector's default layout - Update default model name * [Update] Update object detector document content * [Fix] Fix InputTensorEnum not defined error - import InputTensorEnum from detector_config * [Update] Update detector script coding format * [Update] Update synaptics detector coding format * [Update] Add synaptics ci workflow * [Update] update synaptics runtime libs download path - Fork Synaptics astra sdk repo and put the runtime lib package on it - Frigate team can update this download path later --------- Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com> |
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Frigate - NVR With Realtime Object Detection for IP Cameras
EnglishA 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.
