You're reading from TinyML Cookbook - Second Edition

Product type Book

Published in Nov 2023

Publisher Packt

ISBN-13 9781837637362

Pages 664 pages

Edition 2nd Edition

Languages

Concepts

Machine Learning

Author (1):

Gian Marco Iodice

Table of Contents (16) Chapters

Preface

1. Getting Ready to Unlock ML on Microcontrollers

2. Unleashing Your Creativity with Microcontrollers

3. Building a Weather Station with TensorFlow Lite for Microcontrollers

4. Using Edge Impulse and the Arduino Nano to Control LEDs with Voice Commands

5. Recognizing Music Genres with TensorFlow and the Raspberry Pi Pico – Part 1

6. Recognizing Music Genres with TensorFlow and the Raspberry Pi Pico – Part 2

7. Detecting Objects with Edge Impulse Using FOMO on the Raspberry Pi Pico

8. Classifying Desk Objects with TensorFlow and the Arduino Nano

9. Building a Gesture-Based Interface for YouTube Playback with Edge Impulse and the Raspberry Pi Pico

10. Deploying a CIFAR-10 Model for Memory-Constrained Devices with the Zephyr OS on QEMU

11. Running ML Models on Arduino and the Arm Ethos-U55 microNPU Using Apache TVM

12. Enabling Compelling tinyML Solutions with On-Device Learning and scikit-learn on the Arduino Nano and Raspberry Pi Pico

13. Conclusion

14. Other Books You May Enjoy

15. Index

Conclusion

The key takeaway from all projects developed together is the devices’ low power consumption, which enables the deployment of affordable intelligent solutions in a unique and sustainable manner. This uniqueness and sustainability brings me to tell you a story on powering a tinyML application in a very peculiar way.

In 2022, a team of researchers at the University of Cambridge led by Prof. Christopher J (Jonathan) Howe and Dr. Paolo Bombelli built a groundbreaking device to generate electricity from the photosynthesis activity of algae named Biophotovoltaics (BPV) (https://pubs.rsc.org/en/content/articlelanding/2022/ee/d2ee00233g/unauth).

This device does not operate like a traditional battery or a solar panel. Contrary to conventional methods, a BPV device harnesses the energy of light and, through photosynthetic processes, extracts electrons from water.

Some of these electrons can be directed into an electrochemical apparatus to generate electricity...