Develop Algorithms with Live Video Capture

Develop frame-based or pixel-streaming algorithms that operate on live camera data from your hardware

Use the video capture blocks to import live video into your Simulink^® model. Then, add frame-based vision processing algorithms from Computer Vision Toolbox™ or pixel-streaming algorithms from Vision HDL Toolbox™.

Blocks

Video Capture HDMI	Import live video frames from HDMI FMC card on Zynq-based hardware (Since R2023a)
Video Capture MIPI	Import live video frames from MIPI CSI-2 card on Zynq-based hardware (Since R2022b)
Video Capture USB	Import live video frames from one or more USB cameras on Zynq-based hardware (Since R2024b)
Deinterleave	Convert interleaved CbCr frame to separate components
Interleave	Convert separate Cb and Cr components into interleaved CbCr frame

Topics

Create Model Using Simulink Templates
Get started with a model configured for HDMI video processing.
Zynq Video Dataflow for HDMI Input
Learn about the video data path through the Zynq^® board when connected to an HDMI FMC card.
Zynq Video Dataflow for MIPI Input
Learn about the video data path through the Zynq board when connected to a MIPI^® CSI-2^® FMC card.
Design Frame-Based Algorithms
Create a Simulink model for frame-based video processing.
Design Pixel-Streaming Algorithms for Hardware Targeting
Create a Simulink model for pixel-streaming video processing using input from an HDMI or MIPI card.

Related Information

Streaming Pixel Interface (Vision HDL Toolbox)

Featured Examples

Corner Detection with Zynq-Based Hardware and MIPI Sensor

Target a corner detection algorithm to a ZCU106 device with a MIPI® add-on card by using the SoC Blockset™ Support Package for AMD® FPGA and SoC Devices.

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Corner Detection and Image Overlay with Zynq-Based Hardware

Target corner detection algorithm to the Zynq® hardware using the SoC Blockset™ Support Package for AMD® FPGA and SoC Devices.

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MultiPixel-MultiComponent Streaming with Zynq-Based Hardware

Target multipixel multicomponent algorithm to the Zynq® hardware using the SoC Blockset™ Support Package for AMD® FPGA and SoC Devices.

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Gamma Correction with Zynq-Based Hardware

Target gamma correction algorithm to the Zynq® hardware using the SoC Blockset™ Support Package for AMD® FPGA and SoC Devices.

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Image Sharpening with Zynq-Based Hardware

Target image sharpening algorithm to the Zynq® hardware using the SoC Blockset™ Support Package for AMD® FPGA and SoC Devices.

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Bilateral Filtering with Zynq-Based Hardware

Target bilateral filter algorithm to the Zynq® hardware using the SoC Blockset™ Support Package for AMD® FPGA and SoC Devices.

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