Video Streaming

Many IoT devices include a camera sensor for obtaining visual data of its operating environment. These systems rely on image data captured from the camera as part of its core operation. Having access to the live video stream would allow the device to be monitored from a remote location.

PSYGIG Mobility IoT SDK abstracts the complexity of streaming live, low-latency video with built-in tools and libraries.

The SDK includes many features suitable for integration into embedded systems:

• Works on existing applications; no need to recompile source code

• Multiplatform support

• Supports latest low-latency video streaming technologies (eg. WebRTC, CMAF-based HLS/DASH, SRT)

• Automatically collect video diagnostic data (eg. packet loss, end-to-end latency, jitter)

Using angelo

With a simple command, low-latency video can be streamed live directly from a camera using the angelo command line tool.

angelo live

See angelo man page for a complete list of options.

Using C/C++ SDK API

The Video Streaming API can be accessed by including a single header file and linking the libpsyiage shared library. See Advanced Setup - Building your application with libpsyiage for details.

Stream video to multiple peers via WebRTC

#include <psyiage/psyiagesdk.h>

int main(int argc, char **argv)
{
    psyiage_handle     pah;  // handle to psyiage instance

    /* ... Initialize code omitted for simplicity ... */

    // Configure video streaming parameters
    vidcfg.viddev = "/dev/video0";
    vidcfg.server = "ws://webrtc.psygig.com";

    // Start video streaming
    rc = psyiage_video_stream_start(pah, &vidcfg);

    /* ... Cleanup code omitted for simplicity ... */
}