# qtismartvencbin
Source: [https://docs.qualcomm.com/doc/80-70018-50/topic/qtismartvencbin.html](https://docs.qualcomm.com/doc/80-70018-50/topic/qtismartvencbin.html)
The qtismartvencbin plugin uses machine learning and computer vision to reduce the
video bandwidth. It can be used for surveillance, where only the small image areas are in
motion. The bitrate reduction can be configured according to the quality
requirements.
The qtismartvencbin plugin implements the following:
- A GStreamer bin that has a video encoder and integrates computer vision APIs.
- The post-processed person-detection results from the machine learning pipeline.
Figure : qtismartvencbin architecture

The following tables provide information on pad templates and element properties of
qtismartvencbin. For use cases, see [Smart codec](https://docs.qualcomm.com/doc/80-70018-50/topic/smart-codec.html).
## Pad configuration
| Pad Name | Capabilities | Capabilities | Capabilities |
| --- | --- | --- | --- |
| SINK template: 'sink'
Enum "GstBinEncoderType" Default: 0, "c2enc"
(0): c2enc - Codec2 encoder.
(1): omxenc - OMX encoder.
(2): v4l2h264enc - V4L2 H264 encoder
(3): v4l2h265enc - V4L2 H265 encoder