- 258 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
Smart Internet of Things Projects
Agus Kurniawan
About This Book
Discover how to build your own smart Internet of Things projects and bring a new degree of interconnectivity to your world
About This Book
- Learn how to extract and analyse data from physical devices and build smart IoT projects
- Master the skills of building enticing projects such as a neural network autonomous car, computer vision through a camera, and cloud-based IoT applications
- This project-based guide leverages revolutionary computing chips such as Raspberry Pi, Arduino, and so on
Who This Book Is For
If you are hobbyist who is keen on making smart IoT projects, then this book is for you. You should have a basic knowledge of Python.
What You Will Learn
- Implement data science in your IoT projects and build a smart temperature controller
- Create a simple machine learning application and implement decision system concepts
- Develop a vision machine using OpenCV
- Build a robot car with manual and automatic control
- Implement speech modules with your own voice commands for IoT projects
- Connect IoT to a cloud-based server
In Detail
Internet of Things (IoT) is a groundbreaking technology that involves connecting numerous physical devices to the Internet and controlling them. Creating basic IoT projects is common, but imagine building smart IoT projects that can extract data from physical devices, thereby making decisions by themselves.
Our book overcomes the challenge of analyzing data from physical devices and accomplishes all that your imagination can dream up by teaching you how to build smart IoT projects. Basic statistics and various applied algorithms in data science and machine learning are introduced to accelerate your knowledge of how to integrate a decision system into a physical device.
This book contains IoT projects such as building a smart temperature controller, creating your own vision machine project, building an autonomous mobile robot car, controlling IoT projects through voice commands, building IoT applications utilizing cloud technology and data science, and many more. We will also leverage a small yet powerful IoT chip, Raspberry Pi with Arduino, in order to integrate a smart decision-making system in the IoT projects.
Style and approach
The book follows a project-based approach to building smart IoT projects using powerful boards such as the Raspberry Pi, Arduino, and the IoT chip.