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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

Taking pictures with the OV7670 camera module

Adding sight to the Arduino Nano is our first step to unlocking computer vision applications.

In this first recipe, we will build an electronic circuit to take pictures from the OV7670 camera module using the Arduino Nano. Once we have assembled the circuit, we will use the Arduino pre-built CameraCaptureRawBytes sketch to transmit the pixel values over the serial.

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

  • 01_camera_capture.ino:

https://github.com/PacktPublishing/TinyML-Cookbook/blob/main/Chapter05/ArduinoSketches/01_camera_capture.ino

Getting ready

The OV7670 camera module is the main ingredient required in this recipe to take pictures with the Arduino Nano. It is one of the most affordable cameras for TinyML applications – you can buy it from various distributors for less than $10. Cost is not the only reason we went for this sensor, though. Other factors make this device...

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