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Artificial Intelligence for IoT Cookbook

Artificial Intelligence for IoT Cookbook

By : Roshak
4.9 (10)
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Artificial Intelligence for IoT Cookbook

Artificial Intelligence for IoT Cookbook

4.9 (10)
By: 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)
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Getting ready

First, you will need an NVIDIA Jetson. Then you will need to install the operating system. To do this, you will need to flash a micro USB with NVIDIA's Jetpack image. The Jetpack image consists of a base Ubuntu image with many of the dev tools you will need in order to get going. Once you have your OS image, put it into the Jetson with a monitor, keyboard, mouse, and network-attached.

Then you will update the OS, as follows:

sudo apt-get update

After that, you will need to install the extra software to run the code:

sudo apt-get install git
sudo apt-get install cmake
sudo apt-get install libpython3-dev
sudo apt-get install python3-numpygpu sbc

Once you have done that, you will need to download the starter project from Jetson:

git clone --recursive https://github.com/dusty-nv/jetson-inference

Then you will make and navigate to the build directory:

cd jetson-inference
mkdir build
cd build

From here we will make, install, and link the code from the repository:

cmake ../
make...

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