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BeagleBone Robotic Projects

You're reading from   BeagleBone Robotic Projects Build and control robots that walk, swim, roll, and fly

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Product type Paperback
Published in Jun 2017
Publisher Packt
ISBN-13 9781788293136
Length 230 pages
Edition 2nd Edition
Languages
Concepts
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Author (1):
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Richard Grimmett Richard Grimmett
Author Profile Icon Richard Grimmett
Richard Grimmett
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Table of Contents (11) Chapters Close

Preface 1. Getting Started with the BeagleBone Blue FREE CHAPTER 2. Programming the BeagleBone Blue 3. Making the Unit Mobile - Controlling Wheeled Movement 4. Avoiding Obstacles Using Sensors 5. Allowing Our BeagleBone Blue to See 6. Providing Speech Input and Output 7. Making the Unit Very Mobile - Controlling Legged Movement 8. Using a GPS Receiver to Locate Your Robot 9. By Land, By Sea, By Air 10. System Dynamics

Using the vision library to detect colored objects

A useful task that OpenCV and your webcam can do is to track objects. This might be useful if you are building a system that needs to track and follow a colored object. OpenCV makes this amazingly simple by providing some high-level libraries that can help with this task. I'm going to do this in Python, as I find it much easier to work with than C. If you're a coder who feels more comfortable in C, these instructions should be fairly easy to translate to the C environment.

If you'd like, create a directory to hold your image-based work. From your home directory, you can create an imageplay directory name by typing mkdir imageplay while in your home directory. Then, change directory to the directory you just created by typing cd imageplay. Once there, let's bring over your camera.py file as a starting point...

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