Book Image

Smart Internet of Things Projects

By : Agus Kurniawan
Book Image

Smart Internet of Things Projects

By: Agus Kurniawan

Overview of this book

Internet of Things (IoT) is a groundbreaking technology that involves connecting numerous physical devices to the Internet and controlling them. Creating basic IoT projects is common, but imagine building smart IoT projects that can extract data from physical devices, thereby making decisions by themselves. Our book overcomes the challenge of analyzing data from physical devices and accomplishes all that your imagination can dream up by teaching you how to build smart IoT projects. Basic statistics and various applied algorithms in data science and machine learning are introduced to accelerate your knowledge of how to integrate a decision system into a physical device. This book contains IoT projects such as building a smart temperature controller, creating your own vision machine project, building an autonomous mobile robot car, controlling IoT projects through voice commands, building IoT applications utilizing cloud technology and data science, and many more. We will also leverage a small yet powerful IoT chip, Raspberry Pi with Arduino, in order to integrate a smart decision-making system in the IoT projects.
Table of Contents (13 chapters)
Smart Internet of Things Projects
Credits
About the Author
About the Reviewer
www.PacktPub.com
Preface
Index

Building a car-based GPS


In the previous section, we learned how to access Google Maps API on a Python program using the Flask library. Now we can combine our previous work about reading GPS on the Pololu Zumo robot.

After the program reads the GPS data on Arduino, we can send the GPS data to our web server (Flask framework).

Firstly, we modify gpsapp.py to read the GPS data. You can read it directly from the GPS module or via the middleware app on the computer.

We will create a new routing /gps which is implemented on the get_gps_data() function. With this function, we will set the value "hardcoded". Basically, you should get lat_val and long_val from the GPS module. The get_gps_data() function returns a JSON value. This makes our program, gspapp.py, work as a RESTful server.

The following is a completed program on the gpsapp.py file:

from flask import Flask
from flask import render_template
from flask import jsonify

app = Flask(__name__)


@app.route('/hello')
defhello_world():
return 'Hello...