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)

Getting ready

In this recipe, we are going to use an ESP32 to do an OTA update for a small MCU device. With the ESP32, we are going to be programming in the IDF framework. Espressif IoT Development Framework (ESP-IDF) is a low-level programming framework. It has fewer pre-built components than the Arduino framework but is faster and more geared to industrial applications.

For development, we are going to be using VS Code with the PlatformIO extension added. We can create a project by going to the PlatformIO home page and selecting + New Project:

From there, add a project name, and then select the development board and the development framework you will be using. In my case, I am using the NodeMCU-32S as my development board:

Then, rename empty.c to main.c in your root directory and start coding.