MATLAB and Simulink Seminars

SoC Prototyping of AI-Based Vision Applications


Overview

Deep learning has become a popular technique for video and image processing applications such as classification and object detection. System-on-chip (SoC) devices are often used for edge-based applications, but deep learning networks are challenging to implement on FPGA hardware. Learn how to explore, simulate, and deploy SoC implementations of a vision processing application that uses deep learning, from within MATLAB.

Highlights

  • Partitioning pre-processing, deep learning inference, and post-processing functionality to SoC components
  • Pre-processing the incoming video stream on FPGA hardware
  • Configuring and deploying the deep learning processor FPGA IP
  • Simulating and adjusting the system components
  • Deployment to a Xilinx® Zynq® Ultrascale+(TM) MPSoC ZCU102 board

Target industries: AeroDef, Auto, IA&M

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