Book Image

Getting Started with Python for the Internet of Things

By : Tim Cox, Steven Lawrence Fernandes, Sai Yamanoor, Srihari Yamanoor, Prof. Diwakar Vaish
Book Image

Getting Started with Python for the Internet of Things

By: Tim Cox, Steven Lawrence Fernandes, Sai Yamanoor, Srihari Yamanoor, Prof. Diwakar Vaish

Overview of this book

This Learning Path takes you on a journey in the world of robotics and teaches you all that you can achieve with Raspberry Pi and Python. It teaches you to harness the power of Python with the Raspberry Pi 3 and the Raspberry Pi zero to build superlative automation systems that can transform your business. You will learn to create text classifiers, predict sentiment in words, and develop applications with the Tkinter library. Things will get more interesting when you build a human face detection and recognition system and a home automation system in Python, where different appliances are controlled using the Raspberry Pi. With such diverse robotics projects, you'll grasp the basics of robotics and its functions, and understand the integration of robotics with the IoT environment. By the end of this Learning Path, you will have covered everything from configuring a robotic controller, to creating a self-driven robotic vehicle using Python. • Raspberry Pi 3 Cookbook for Python Programmers - Third Edition by Tim Cox, Dr. Steven Lawrence Fernandes • Python Programming with Raspberry Pi by Sai Yamanoor, Srihari Yamanoor • Python Robotics Projects by Prof. Diwakar Vaish
Table of Contents (37 chapters)
Title Page
Copyright and Credits
About Packt
Contributors
Preface
Index

Infrared proximity sensor


The following photo depicts an infrared proximity sensor:

It consists of two major parts—the sensor and the transmitter. The transmitter emits IR waves; these Infrared (IR) waves then hit the object and come back to the sensor, as depicted in the following diagram.. 

Now, as you can see in the preceding diagram, the emitted IR waves bounces back from a surface at a different distance from the sensor, then they makes an angular approach to the sensor. Now, because the distance between the transmitter and the sensor is fixed at all points of time, the angle corresponding to reflected IR waves would be proportional to the distance it has traveled before bouncing off. There are ultraprecise sensors in the IR proximity sensors that are capable of sensing the angle at which the IR waves approach it. By this angle, it gives the user a value of distance corresponding to it. This method of finding distance is named triangulation, and it has been used widely in the industry...