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Raspberry Pi Embedded Projects Hotshot

Raspberry Pi Embedded Projects Hotshot

By : Sai Yamanoor, Srihari Yamanoor
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Raspberry Pi Embedded Projects Hotshot

Raspberry Pi Embedded Projects Hotshot

By: Sai Yamanoor, Srihari Yamanoor

Overview of this book

This book is targeted towards beginners and intermediate designers of mechatronic systems and embedded system design. Some familiarity with the Raspberry Pi and Python programming is preferred but not required.
Table of Contents (15 chapters)
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14
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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