Book Image

The Insider's Guide to Arm Cortex-M Development

By : Zachary Lasiuk, Pareena Verma, Jason Andrews
Book Image

The Insider's Guide to Arm Cortex-M Development

By: Zachary Lasiuk, Pareena Verma, Jason Andrews

Overview of this book

Cortex-M has been around since 2004, so why a new book now? With new microcontrollers based on the Cortex-M55 and Cortex-M85 being introduced this year, Cortex-M continues to expand. New software concepts, such as standardized software reuse, have emerged alongside new topics including security and machine learning. Development methodologies have also significantly advanced, with more embedded development taking place in the cloud and increased levels of automation. Due to these advances, a single engineer can no longer understand an entire project and requires new skills to be successful. This book provides a unique view of how to navigate and apply the latest concepts in microcontroller development. The book is split into two parts. First, you’ll be guided through how to select the ideal set of hardware, software, and tools for your specific project. Next, you’ll explore how to implement essential topics for modern embedded developers. Throughout the book, there are examples for you to learn by working with real Cortex-M devices with all software available on GitHub. You will gain experience with the small Cortex-M0+, the powerful Cortex-M55, and more Cortex-M processors. By the end of this book, you’ll be able to practically apply modern Cortex-M software development concepts.
Table of Contents (15 chapters)
1
Part 1: Get Set Up
5
Part 2: Sharpen Your Skills

Exploring ML use cases

ML is rapidly evolving to more use cases such as fraud detection, personalized targeted marketing, and self-driving cars, to name a few. Currently, the most popular applications for ML in the embedded space can be grouped into three areas: vibration, vision, and voice. These categories were briefly discussed in Chapter 1, Selecting the Right Hardware, with the current chapter focusing on running examples in each of these areas. Vibration typically is the most straightforward and is therefore a good starting point to begin exploring. After familiarizing ourselves with the vibration example, we provide more details on the construction of the ML software stack in the vision and voice examples that follow. The three use cases are presented here:

  • Anomaly detection using the Cortex-M55
  • Image classification using the Cortex-M55 and Ethos-U55
  • Micro speech using the Cortex-M55 and Ethos-U55

Anomaly detection – vibration

To replicate the...