Run on Hardware
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 (2022). Run on Hardware (https://www.mathworks.com/matlabcentral/fileexchange/62243-run-on-hardware), MATLAB Central File Exchange. Retrieved .
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Acknowledgements
Inspired: Code for Article "Run MATLAB Image Processing Algorithms on Raspberry Pi and NVIDIA Jetson"
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