Brainy Pi is an open-source hardware platform that enables developers to build intelligent devices for a wide range of applications. One of the key components of any smart device is the ability to capture, process, and transmit multimedia data. In this blog, we will explore Gstreamer on Brainy Pi
BrainyPi has built-in
ISP (Image Signal Processor) dedicated for Capturing Video and images.
VPU (Video Processing Unit) dedicated for Video encoding and decoding.
This allows us to do hardware accelerated Video Capture, Encoding and Decoding.
In this tutorial, we will explore how to use GStreamer, a powerful multimedia framework, to build an application on BrainyPi that can capture and display video, encode and decode video streams, and stream video over a network using the VPU and ISP.
Prerequisites:
Before we get started, you will need a Brainy Pi board with a camera module (Raspi cam v1.3) or USB Webcam, HDMI monitor, and a network connection. You will also need to have GStreamer installed on your BrainyPi board. If you have not installed GStreamer, you can do so by running the following command in a terminal window:
This pipeline captures video from the CSI camera using the rkisp element, converts the video format using the videoconvert element, and display using kmssink.
This pipeline captures video from the web camera using the v4l2src element, converts the video format using the videoconvert element, and display using kmssink.
Encoding:
The next step is to encode video streams. We can use GStreamer to encode video in a variety of formats, all supported formats are given below,
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