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Internet of Things Programming Projects

You're reading from   Internet of Things Programming Projects Build exciting IoT projects using Raspberry Pi 5, Raspberry Pi Pico, and Python

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Product type Paperback
Published in Jun 2024
Publisher Packt
ISBN-13 9781835082959
Length 458 pages
Edition 2nd Edition
Languages
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Author (1):
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Colin Dow Colin Dow
Author Profile Icon Colin Dow
Colin Dow
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Table of Contents (21) Chapters Close

Preface 1. Part 1: Setting Up the Raspberry Pi for IoT Development FREE CHAPTER
2. Chapter 1: Understanding the Raspberry Pi 3. Chapter 2: Harnessing Web Services with the Raspberry Pi 4. Chapter 3: Building an IoT Weather Indicator 5. Chapter 4: Building an IoT Information Display 6. Part 2: Building an IoT Home Security Dashboard
7. Chapter 5: Exploring the GPIO 8. Chapter 6: Building an IoT Alarm Module 9. Chapter 7: Building an IoT Button 10. Chapter 8: Creating an IoT Alarm Dashboard 11. Part 3: Creating a LoRa-Enabled IoT Monitoring Station
12. Chapter 9: Understanding LoRa 13. Chapter 10: Integrating LoRa with the Internet 14. Part 4: Building an IoT Robot Car
15. Chapter 11: Introducing ROS 16. Chapter 12: Creating an IoT Joystick 17. Chapter 13: Introducing Advanced Robotic Eyes for Security (A.R.E.S.) 18. Chapter 14: Adding Computer Vision to A.R.E.S. 19. Index 20. Other Books You May Enjoy

Exploring our A.R.E.S. application

The A.R.E.S. robot presents an integration of various IoT components. It’s operated via the IoT joystick we created in Chapter 12 and communicates commands through MQTT to the Raspberry Pi. Our design will incorporate both a Raspberry Pi 3B+ and a Raspberry Pi Pico H. In the following diagram, we see the outline of the A.R.E.S. robot, including the connection from the IoT joystick:

Figure 13.1 – The A.R.E.S. robot application

Figure 13.1 – The A.R.E.S. robot application

The Raspberry Pi 3B+, serving as the brain, uses UART (short for Universal Asynchronous Receiver/Transmitter) communication to relay commands to a Raspberry Pi Pico H, which in turn controls the car’s movements, LEDs, and buzzer, responding dynamically to inputs. Equipped with a VL53L0X sensor, A.R.E.S. can measure distances, allowing it to avoid obstacles. Additionally, an M5Stack camera mounted on A.R.E.S. streams real-time video, which can be viewed on any computer using a...

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