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Raspberry Pi Embedded Projects Hotshot

You're reading from   Raspberry Pi Embedded Projects Hotshot Enter the world of mechatronic systems with the Raspberry Pi to design and build 12 amazing projects

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Product type Paperback
Published in Feb 2015
Publisher
ISBN-13 9781849696227
Length 250 pages
Edition 1st Edition
Concepts
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Toc

Table of Contents (15) Chapters Close

Preface 1. Hello World FREE CHAPTER 2. A Raspberry WebIDE Example 3. The Arduino Raspberry Pi Interface 4. Christmas Light Sequencer 5. Internet of Things Example – An E-mail Alert Water Fountain 6. Raspberry Pi as a Personal Assistant 7. Raspberry Pi-based Line Following Robot 8. Connect Four Desktop Game using Raspberry Pi 9. The Raspberry Pi-enabled Pet/Wildlife Monitor 10. Raspberry Pi Personal Health Monitor 11. Home Automation using Raspberry Pi 12. Using a Raspberry Pi for Science and Education 13. Tips and Tricks Index

Setting up the assembly for the dish monitor


In this task, we will set up a monitor over the kitchen sink. We will check whether there are dishes in the sink and send LED alerts to the user. Since we have installed OpenCV already, we will get started with the set up of the monitor.

This task was inspired by a hacker based in London who built a dish detector to alert users of a communal kitchen.

Note

The code sample for this function has been borrowed from the OpenCV Dish Detector project by Tom: http://beagleboard.org/blog/2013-11-26-project-spotlight-dirty-dish-detector/

Prepare for lift off

We will get started by mounting a camera on top of the sink and connecting it to an overhead camera, as shown in the following image:

An overhead camera on top of the sink

Engage thrusters

  1. We will get started by importing the OpenCV module:

    import time
    import sys
    import cv2.cv as cv
  2. We will initialize the camera to capture frames:

    capture = cv.CaptureFromCAM(0)
  3. After initialization, we will grab a frame for processing...

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