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Internet of Things with Raspberry Pi 3

Internet of Things with Raspberry Pi 3

By : Rao
4.3 (3)
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Internet of Things with Raspberry Pi 3

Internet of Things with Raspberry Pi 3

4.3 (3)
By: Rao

Overview of this book

This book is designed to introduce you to IoT and Raspberry Pi 3. It will help you create interesting projects, such as setting up a weather station and measuring temperature and humidity using sensors; it will also show you how to send sensor data to cloud for visualization in real-time. Then we shift our focus to leveraging IoT for accomplishing complex tasks, such as facial recognition using the Raspberry Pi camera module, AWS Rekognition, and the AWS S3 service. Furthermore, you will master security aspects by building a security surveillance system to protect your premises from intruders using Raspberry Pi, a camera, motion sensors, and AWS Cloud. We'll also create a real-world project by building a Wi-Fi – controlled robot car with Raspberry Pi using a motor driver circuit, DC motor, and a web application. This book is a must-have as it provides a practical overview of IoT’s existing architectures, communication protocols, and security threats at the software and hardware levels—security being the most important aspect of IoT.
Table of Contents (11 chapters)
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Understanding image recognition

Image recognition is the ability of a machine or computer to see and identify places, logos, people, objects, buildings, and other variables in an image, where an image can be any graphic, still photo, and/or video. Image recognition not only identifies the content in the images, but performs a large number of machine-based visual tasks, such as labeling images with informational tags, searching the content in an image, such as identifying a cat in an image that has multiple animals in it and guiding autonomous robots and self-driving vehicles.

Human and animal brains recognize images and objects with ease, but it is extremely difficult for computers to perform the same task. Image recognition requires deep machine learning techniques. Image recognition tasks are best performed on convolution neural network-based processors. Image recognition algorithms...

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