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Smart Internet of Things Projects

You're reading from   Smart Internet of Things Projects Discover how to build your own smart Internet of Things projects and bring a new degree of interconnectivity to your world

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Product type Paperback
Published in Sep 2016
Publisher Packt
ISBN-13 9781786466518
Length 258 pages
Edition 1st Edition
Languages
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Author (1):
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Agus Kurniawan Agus Kurniawan
Author Profile Icon Agus Kurniawan
Agus Kurniawan
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Toc

Table of Contents (8) Chapters Close

Preface 1. Making Your IoT Project Smart 2. Decision System for IoT Projects FREE CHAPTER 3. Building Your Own Machine Vision 4. Making Your Own Autonomous Car Robot 5. Building Voice Technology on IoT Projects 6. Building Data Science-based Cloud for IoT Projects Index

Introducing map engine platforms


To visualize our GPS data into concepts such as latitude and longitude, we can use a map. By putting latitude and longitude values on a map, we can see the exact location of the entity in question.

Basically, you can use your own map to visualize our GPS data. In this section, we will learn the common map engine platform, Google Maps API. This library provides many options for our programming model to visualize GPS data on a map. For further information about Google Maps API, you can visit the official website at https://developers.google.com/maps.

For our demo, we will use Google Maps API on our Python program. I use the Flask library as a web framework. Please find the Flask library at http://flask.pocoo.org.

To install the Flash library on your computer or Raspberry Pi, you can get it via pip:

$ pip install Flask

You may need to be of administrator level in order to install it. If so, you can use sudo on your command. For a Windows platform, you can call...

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