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

Perfecting motion


Were you able to find any flaws in the previous code? They are not hard to find; the code works brilliantly when it's only a single person in the room. If this is installed somewhere where multiple people are coming and going, then it might be challenging. This is because whenever a person moves outside, the light will be turned off.

So now that the problem is evident, it's time to make the code even more better. To do this, the hardware will remain exactly the same; we simply need to make the code smarter. Let's see how we can do that:

import GPIO library
   import RPi.GPIO as GPIO
   import time
   import time
   import Adafruit_ADS1x15
   adc0 = Adafruit_ADS1x15.ADS1115()
GAIN = 1
 adc0.start_adc(0, gain=GAIN)
adc1.start_adc(1, gain=GAIN)
GPIO.setmode(GPIO.BCM)
GPIO.setwarnings(False)
PCount = 0
while True:
   F_value = adc0.get_last_result()
   F1 = (1.0 / (F_value / 13.15)) - 0.35
   time.sleep(0.1)
   F_value = adc0.get_last_result()
   F2 = (1.0 / (F_value / 13.15...