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Run on Hardware

version 2.0.7 (1.29 MB) by MathWorks MATLAB Coder Team
Examples showing how to run MATLAB code on Raspberry Pi Hardware.

6.6K Downloads

Updated 11 Aug 2020

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NOTE: MATLAB release R2018b onwards, the functionality provided in this File Exchange submission is now a part of the MATLAB Support Package for Raspberry Pi Hardware.
For more information, please visit the following links:
Documentation: https://www.mathworks.com/help/supportpkg/raspberrypiio/run-on-hardware.html
Video: https://www.youtube.com/watch?v=5lkCx8-zJm0

This package includes examples from image processing and audio signal processing domains that demonstrate the workflow of generating C code from a MATLAB algorithm and running it on hardware as a stand-alone application using MATLAB Coder. A MATLAB function, called runOnHardware, is provided for deploying a MATLAB algorithm for prototyping on a Raspberry Pi hardware board.

The Sobel Edge detection example includes the system objects for capturing images from a USB webcam and for displaying images on the Raspberry Pi desktop.

Cite As

MathWorks MATLAB Coder Team (2021). Run on Hardware (https://www.mathworks.com/matlabcentral/fileexchange/62243-run-on-hardware), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2018a
Compatible with R2017a to R2018a
Platform Compatibility
Windows macOS Linux

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Sobel_Edge_Detection