The main purpose of this project is to build a cost-effective gesture controller that we can integrate into an embedded device and use to control the device. Our device should be able to control relays, send a message out on Wi-Fi or Bluetooth, or carry out many other possibilities. With this project, we want to set up the building blocks that will make our detected gesture turn an LED on for five seconds and then turn it off. The LED that lights up will correspond to the gesture that was detected, which will also be printed to the terminal. Let's now look at our hardware and software requirements.

MicroPython Projects
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MicroPython Projects
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Overview of this book
With the increasing complexity of embedded systems seen over the past few years, developers are looking for ways to manage them easily by solving problems without spending a lot of time on finding supported peripherals. MicroPython is an efficient and lean implementation of the Python 3 programming language, which is optimized to run on microcontrollers. MicroPython Projects will guide you in building and managing your embedded systems with ease.
This book is a comprehensive project-based guide that will help you build a wide range of projects and give you the confidence to design complex projects spanning new areas of technology such as electronic applications, automation devices, and IoT applications. While building seven engaging projects, you'll learn how to enable devices to communicate with each other, access and control devices over a TCP/IP socket, and store and retrieve data. The complexity will increase progressively as you work on different projects, covering areas such as driver design, sensor interfacing, and MicroPython kernel customization.
By the end of this MicroPython book, you'll be able to develop industry-standard embedded systems and keep up with the evolution of the Internet of Things.
Table of Contents (14 chapters)
Preface
Down the Rabbit Hole with MicroPython
Managing Real-Time Tasks
Writing a MicroPython Driver for an I/O Expander
Developing an Application Test Harness
Customizing the MicroPython Kernel Start Up Code
A Custom Debugging Tool to Visualize Sensor Data
Device Control Using Gestures
Automation and Control Using Android
Building an Object Detection Application Using Machine Learning
The Future of MicroPython
Downloading and Running MicroPython Code
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