What this book covers
Chapter 1, Make Your IoT Project Smart, helps you to sense and actuate from IoT devices, such as Arduino and Raspberry Pi. Various Python libraries related to Statistics and Data Science is introduced so that we know their existence.
Chapter 2, Decision System for IoT Projects, helps you learn how to build a decision system that is implemented on IoT devices. Reviewing some Python libraries related to decision system and then implementing decision system program into IoT boards will also be covered.
Chapter 3, Build Your Own Machine Vision, explores how to make a machine to see by deploying a camera and starting to understand machine vision till we detect and track object model by training our machine. Several camera modules will also be reviewed.
Chapter 4, Make Your Own Autonomous Car Robot, explores how to build a car robot. It integrates some sensor and actuator devices to make a robot run without human interference. We will also learn how to navigate a robot and control it from your computer.
Chapter 5, Building Voice Technology on IoT Projects, helps you in making your IoT board speak something. Various sound and speech modules will be explored during the project journey.
Chapter 6, Building Data Science-based Cloud for IoT Projects, explores how to apply cloud platforms on IoT projects; back-end infrastructure for our IoT projects is also important. By distributing IoT boards on some locations with different countries needs more attention in acquiring sensor data.
