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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

Adding Computer Vision to A.R.E.S.

In this final chapter, we will be adding computer vision to A.R.E.S. This will give A.R.E.S. the ability to recognize objects as well as alert us via text message to the presence of these objects. For our example, we will be recognizing dogs, although we could just as easily set up our object recognition code to recognize other objects.

We will start our journey by exploring computer vision and what it is before downloading and installing the Open Source Computer Vision (OpenCV) library and the You Only Look Once (YOLO) object detection system. After setting up these tools, we will explore hands-on examples.

By the end of this chapter, you will have built a smart video streaming application that utilizes the video stream from the camera on A.R.E.S.

We will cover the following topics in this chapter:

  • Exploring computer vision
  • Adding computer vision to A.R.E.S.
  • Sending out a text alert

Let’s begin!

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