Configure edge stream
You can easily edit the edge stream and its configuration. The edge stream configuration is accessible in the right panel after clicking on the edge stream name.
The edge stream configuration right sliding panel for the edge stream with name "Airport main hall".
Edge stream settings#
The SmartFace Station allows you to configure edge stream settings. These settings directly affecting the processing of video streams done by SmartFace Platform.
To edit the edge stream settings:
Click on Configuration in the left menu panel.
Go to Edge stream settings section.
Click on the edge stream name.
You may edit these parameters:
| Parameter name | Parameter description | Default value |
|---|
| NAME | The edge stream name. | Provided string. | |
| CLIENT ID | A direction to the edge stream. | Provided string. |
| FACE SAVE STRATEGY | The strategy for saving data from all detections, you can choose from: - All- All faces for the detected person are stored.
FirstFace - Only the first detected face of a person is stored.BestFace - Only the best face for the detected person is stored. Which face is the best is decided when the person is lost from tracking.- FirstFace, BestFace - The first and the best face for the detected person are stored.
- MatchedOnly - Only faces which are matched against a watchlist member are stored.
Set this wisely. Strategy to save all detected objects can generate huge amount of data. | FirstFace, BestFace |
| TEMPLATE GENERATOR RESOURCE | Choose between these resources for template extraction:- CPU - to perform the template extraction on CPU resource.
- GPU - to perform the template extraction on GPU resource. GPU must be present in the system.
- ANY - to perform the template extraction on any resource (GPU or CPU) according to their current utilization. GPU must be present in the system.
| CPU | | |
| SPOOF DETECTOR RESOURCE | Choose liveness approach for spoof detector. You can choose from: - None - no spoof detection enabled
- Distant CPU - NN based liveness for access control use-case executed on CPU
- Distant GPU - NN based liveness for access control use-case executed on GPU
- Distant ANY - NN based liveness for access control use-case executed on any resource (GPU or CPU) according to their current utilization.
- Nearby CPU - NN based liveness for selfie use-case executed on CPU
- Nearby GPU- NN based liveness for selfie use-case executed on GPU
- Nearby ANY - NN based liveness for selfie use-case executed on any resource (GPU or CPU) according to their current utilization.
| | | |
