Book Image

Artificial Intelligence for IoT Cookbook

By : Michael Roshak
Book Image

Artificial Intelligence for IoT Cookbook

By: Michael Roshak

Overview of this book

Artificial intelligence (AI) is rapidly finding practical applications across a wide variety of industry verticals, and the Internet of Things (IoT) is one of them. Developers are looking for ways to make IoT devices smarter and to make users’ lives easier. With this AI cookbook, you’ll be able to implement smart analytics using IoT data to gain insights, predict outcomes, and make informed decisions, along with covering advanced AI techniques that facilitate analytics and learning in various IoT applications. Using a recipe-based approach, the book will take you through essential processes such as data collection, data analysis, modeling, statistics and monitoring, and deployment. You’ll use real-life datasets from smart homes, industrial IoT, and smart devices to train and evaluate simple to complex models and make predictions using trained models. Later chapters will take you through the key challenges faced while implementing machine learning, deep learning, and other AI techniques, such as natural language processing (NLP), computer vision, and embedded machine learning for building smart IoT systems. In addition to this, you’ll learn how to deploy models and improve their performance with ease. By the end of this book, you’ll be able to package and deploy end-to-end AI apps and apply best practice solutions to common IoT problems.
Table of Contents (11 chapters)

How to do it...

The steps for this recipe are as follows:

  1. On the device side, import the necessary libraries:

import asyncio
from six.moves import input
from azure.iot.device.aio import IoTHubDeviceClient
  1. Create a main() function and connect to the device:
async def main():
device_client = \
IoTHubDeviceClient.create_from_connection_string("Connection
String")

await device_client.connect()
  1. Create a twin listener:
    def quit_listener():
while True:
selection = input("Press Q to quit\n")
if selection == "Q" or selection == "q":
print("Quitting...")
break
  1. Create a listen task:
    asyncio.create_task(twin_patch_listener(device_client))
  1. Listen for a quit signal:
    loop = asyncio.get_running_loop()
user_finished = loop.run_in_executor(None, quit_listener)
  1. Wait for the user finish signal and disconnect:
    await user_finished...