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TinyML Cookbook

You're reading from   TinyML Cookbook Combine artificial intelligence and ultra-low-power embedded devices to make the world smarter

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Product type Paperback
Published in Apr 2022
Publisher Packt
ISBN-13 9781801814973
Length 344 pages
Edition 1st Edition
Tools
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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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Toc

Table of Contents (10) Chapters Close

Preface 1. Chapter 1: Getting Started with TinyML 2. Chapter 2: Prototyping with Microcontrollers FREE CHAPTER 3. Chapter 3: Building a Weather Station with TensorFlow Lite for Microcontrollers 4. Chapter 4: Voice Controlling LEDs with Edge Impulse 5. Chapter 5: Indoor Scene Classification with TensorFlow Lite for Microcontrollers and the Arduino Nano 6. Chapter 6: Building a Gesture-Based Interface for YouTube Playback 7. Chapter 7: Running a Tiny CIFAR-10 Model on a Virtual Platform with the Zephyr OS 8. Chapter 8: Toward the Next TinyML Generation with microNPU 9. Other Books You May Enjoy

Using the DHT22 sensor with the Raspberry Pi Pico

In contrast to the Arduino Nano, the Raspberry Pi Pico requires an external sensor module and an additional software library to measure the temperature and humidity.

In this recipe, we will show how to use the DHT22 sensor with a Raspberry Pico to get temperature and humidity measurements.

The following Arduino sketch contains the code referred to in this recipe:

  • 07_sensor_rasp_pico.ino:

https://github.com/PacktPublishing/TinyML-Cookbook/blob/main/Chapter03/ArduinoSketches/07_sensor_rasp_pico.ino

Getting ready

The temperature and humidity sensor module considered for the Raspberry Pi Pic is the low-cost AM2302 that you can get either from Adafruit (https://www.adafruit.com/product/393) or Amazon.

As shown in the following diagram, the AM2302 module is a through-hole component with three pins that integrates the DHT22 temperature and humidity sensor:

Figure 3.19 – The AM2302...

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