Setting up the environment

Our Smart Doorbell is the ultimate edge analytics application by virtue of the heavy processing done on the edge. Our edge device will be a Raspberry Pi. We will use the OpenCV, face_recognition, and paho-mqtt libraries in Python to write our code.

Before we set up the development environment, let's take a look at a high-level view of the Smart Doorbell application.

Understanding the application

The following is a diagram of the application we will build. For our purposes, we will use a Raspberry Pi Model 4 (4 GB RAM) computer as our edge device. We will require a powerful Raspberry Pi to install the libraries needed for our application as well as for the heavy computation required by the application...