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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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Toc

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 computer vision

Computer vision began in the 1950s, evolving significantly with key milestones such as image processing algorithms in the 1960s and the introduction of GPUs in the 1990s. These advancements improved processing speeds and complex computations and enabled real-time image analysis and sophisticated models. Modern computer vision technology is a result of these developments. The following diagram shows where computer vision sits in terms of artificial intelligence:

Figure 14.1 – Artificial intelligence

Figure 14.1 – Artificial intelligence

Figure 14.1 shows a set of concentric circles representing the relationship between different fields of artificial intelligence. At the core is computer vision, surrounded by object detection, which is a subset of deep learning, something that’s nested within machine learning. All are encompassed by the broader field of artificial intelligence.

Not all computer vision techniques involve machine learning or deep learning...

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