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TinyML Cookbook

You're reading from   TinyML Cookbook Combine machine learning with microcontrollers to solve real-world problems

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Product type Paperback
Published in Nov 2023
Publisher Packt
ISBN-13 9781837637362
Length 664 pages
Edition 2nd Edition
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Author (1):
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Gian Marco Iodice Gian Marco Iodice
Author Profile Icon Gian Marco Iodice
Gian Marco Iodice
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Table of Contents (16) Chapters Close

Preface 1. Getting Ready to Unlock ML on Microcontrollers FREE CHAPTER 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

Communicating with the MPU-6050 IMU through I2C

Acquiring sensor data can be a challenging task in tinyML due to the need for direct interaction with hardware at a low level.

In this recipe, we will use the MPU-6050 Inertial Measurement Unit (IMU) to demonstrate the basic principles of a common communication protocol used with sensors known as the Inter-Integrated Circuit (I2C). By the end of this recipe, we will have developed an Arduino sketch that can read out the MPU-6050 address.

Getting ready

The IMU sensor is an electronic device capable of measuring accelerations, angular rates, and, in some cases, body orientations through a combination of integrated sensors. This device is at the heart of many technologies in various industries, including automotive, aerospace, and consumer electronics, to estimate position and orientation. For example, IMU allows the screen of a smartphone to auto-rotate and enables augmented reality/virtual reality ...

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