Low Power Neural Networks on Cortex-M7 CPUs Using the OpenMV Cam H7

  • Kwabena Agyeman, OpenMV, LLC

In March 2018, Arm released the Arm CMSIS NN library which lets you run neural networks trained with desktop tools like Caffe and TensorFlow on low power Cortex-M7 microcontrollers for edge device IoT computing. With the OpenMV Cam H7 powered by a 400 MHz Cortex-M7 STM32H743VIT6 chip, we demonstrate how to turn desktop NNs into binary files that can be dynamically loaded and run on images.

  • Date:Wednesday, October 17
  • Time:4:30 PM - 5:20 PM
  • Location:Executive Ballroom 210H
  • Session Type:Conference Session
  • Room:Executive Ballroom 210H
  • Pass Type:All-Access Pass
  • Secondary Track:Embedded Software Development
Kwabena Agyeman