Book Image

Internet of Things with Raspberry Pi 3

By : Maneesh Rao
Book Image

Internet of Things with Raspberry Pi 3

By: Maneesh 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)

Raspberry Pi camera module

Any security surveillance system is incomplete without the digital eyes of a camera. With the use of a camera, we can keep a real-time watch at our place or premises even when we are not present. If any trespasser enters our premises, then with a combination of sensors and camera, we can make a video recording or take pictures, which can help to track down the trespasser later on.

In our use case, we will use the Raspberry Pi camera module, which is an add-on accessory provided by the Raspberry Pi foundation itself, as shown in Figure 6.14:

Figure 6.14

This camera module can be easily interfaced with the Raspberry Pi's dedicated CSI camera port. This camera has a ribbon cable that attaches the camera to Pi. Refer to the official video by the Raspberry Pi foundation to install the camera on the Pi correctly. The following is the video link: https...