MATLAB Examples

Getting Started with Vision Zynq Hardware

This example shows how to get started with video capture and processing using Computer Vision System Toolbox™ Support Package for Xilinx® Zynq-Based Hardware.

Required products:

  • Simulink®
  • Computer Vision System Toolbox



This example tests the data path from the Zynq device to the host by configuring the board to transmit a test pattern that is captured and displayed in Simulink.


Before running this model, your hardware must be setup and connected to the host machine running Simulink. If you have not yet done so, run through the guided setup wizard portion of the Zynq support package installation. You might have already completed this step when you installed this support package.

On the MATLAB Home tab, in the Environment section of the Toolstrip, click Add-Ons > Manage Add-Ons. Locate Computer Vision System Toolbox Support Package for Xilinx Zynq-Based Hardware, and click Setup.

Live Video Capture from Target

The main purpose of this example is to check that the target development board has been setup correctly, and that it can communicate with the host platform.

The Video Capture block receives captured image data from the target hardware and imports it into Simulink as source data for simulation. The Block Parameters allow you to configure the format of the captured data using the target hardware. The block is configured as shown.

These specify:

  • A Video source of Test pattern generator. The Test Pattern Generator (TPG) is situated in the FPGA fabric of the Zynq device, and allows a known test pattern to be transmitted as a video source.
  • A video frame size of 480p SDTV (720x480p). This is the smallest frame size supported by the hardware.
  • A video frame rate of 60fps.
  • A pixel format of YCbCr 4:2:2 (otherwise known as YUYV). This parameter controls the format of the video frames delivered on the output ports. Other support pixel formats are Y only, and RGB.
  • A Capture point of Input to FPGA user logic (A). Frames are captured and sent to Simulink from the input of the FPGA user logic.
  • Bypass FPGA user logic is unchecked. This is the default option.

The To Video Display block displays the video frames received by the Video Capture. The block is configured to display frames in YCbCr 4:2:2 (YUYV) format. It can also be configured to display RGB frames. If you require to display frames in Y only format, you can use the Video Viewer block from the Computer Vision System Toolbox/Sinks library.

The Frame Rate Display block displays the video frame rate of the simulation in relation to wall clock time, i.e. frames per second.

Running the Example with Test Pattern Generator (TPG)

This example is configure to generate a test pattern with a frame size of 480p. When you run the simulation, the Captured Image Display scope opens. You should see the test pattern as shown.

If you connect an HDMI display to the HDMI Out port of the FMC-HDMI-CAM card, you should see the same test pattern.

Running the Example with HDMI Source

If you have an external HDMI source , such as a camera, you can use that as the video source for this model. To use an external HDMI source, follow these steps:

  1. Connect the HDMI source to the HDMI In port of the FMC-HDMI-CAM card.
  2. Configure the Video Source parameter of the Video Capture block to HDMI input.
  3. Configure the Frame size parameter of the Video Capture block to match the output frame size of your source.
  4. Run the model.

You should now see live video frames from your HDMI source displayed in the To Video Display window, and the HDMI display on the FMC board (if connected).

Next Steps

You have used this model to confirm your hardware setup and connection to Simulink. Next, see Developing Vision Algorithms for Zynq-Based Hardware.