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

Programming multiple frames


In the previous chapter, we have learned the basics of how to make sure that the robot is working under safe limits. In this chapter, we will be looking at how a robot can be made to do different activities at a click of a button, instead of typing the values one by one.

To do this, we will need to understand some advanced concepts of motion. Whenever you watch any video or play any video games, then you must have come across the term frames per second (FPS). If you haven't heard this term, then let me explain it for you. Every video made right now is actually made by still images. These still images are captured by cameras that click 25-30 times in a second. When these images are played back on the screen at the same rate at which they are captured, it forms a smooth video.

Similarly, in robots, we do have the concept of frames. These frames, however, are not images but instead multiple steps that the robot has to follow to achieve a specific motion. In a simple...