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Sensor Stream Pipe
  • What is Sensor Stream Pipe?
  • Getting Started
  • Installation Linux
  • Installation Windows
  • Installation Mac
  • Installation iOS
  • Streaming a Video
  • Streaming with Azure Kinect DK
  • Streaming a Dataset
  • Streaming iOS ARKit RGB-D Data
  • Streaming an OAK-D using Xlink
  • Components Overview
    • Sensor Stream Server
    • Sensor Stream Client
    • Sensor Stream Tester
  • Sending Frames
    • IReaders
    • FrameStruct
    • Config File
    • IEncoders
  • Receiving Frames
    • Receiving Frames
  • How to Extend Sensor Stream Pipe
    • Add New Sensor Interface
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  1. Components Overview

Sensor Stream Client

Sensor Stream Client is the destination that receives the sent frames from Sensor Stream Server.

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Last updated 4 years ago

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The ssp_client application receives network packets from the ssp_server, de-serializes and decodes them, and makes them available for processing.

For example, you could use the code with BundleFusion or another, comparable algorithm. This is beneficial if you’re ingesting multiple sensor streams, and want to run computer vision algorithms such as skeleton tracking. And also lends itself perfectly to projects involving sensors in multiple locations, i.e. if you want to combine streams from a variety of drones operating in different locations into one stream.

You can have Sensor Stream Client receive multiple streams and ingest the data for a spatial computing/computer vision pipeline.

Processing Examples

To provide an example, converts the encoded frames into displayable OpenCV, whereas connects with remote Azure Kinect body tracking and generates a pointcloud from your Kinect DK data.

These three different clients provide three examples of output format, but you can adapt this code for final processing however you like.

Have a look at for a bare-bones template that you can play around with.

./bin/ssp_client_opencv <port> (<log level>) (<log file>)
./bin/ssp_client_k4a <port> (<log level>) (<log file>)
./bin/ssp_client_pointcloud <port> (<output_folder>) (<log level>) (<log file>)

Due to the enqueuing process as described in the ssp_server section, it is recommended that you start the ssp_client application first.

Parallel processing

By default, the ssp_client can receive frames from multiple servers in parallel, and will process the input using a .

ssp_client_opencv
ssp_client_k4a
ssp_client_pointcloud
ssp_client_template
fair queuing method