Setting Up OpenCV on Raspberry Pi

Introduction

This tutorial will showcase the examples of installation and programming for implementing computer vision applications using OpenCV on a Raspberry Pi board. You will learn how to properly install and set up the OpenCV library, understand the basics of image processing and computer vision, and write simple programs to perform tasks such as face detection and QR code recognition using a Raspberry Pi camera. These projects are ideal for building smart vision-based systems such as security monitoring, facial recognition, and automated scanning applications, making them a useful foundation for many embedded and AIoT applications.

What You’ll Learn

By the end of this series, you’ll learn how to:

• Install and set up the OpenCV library on a Raspberry Pi
• Understand the basics of image processing and computer vision
• Capture images using the Raspberry Pi camera module
• Write Python programs to perform face detection using OpenCV

Series Overview

Lesson 1: Installing OpenCV on Raspberry Pi 4B

Learn how to install and set up the OpenCV library on you Raspberry Pi, and understand the basic configuration of programming OpenCV.

Lesson 2: Face Detection with Pi Camera Using OpenCV and Haar Cascade

Learn how to capture images using the Raspberry Pi camera and apply OpenCV techniques to detect human faces in real-time.

Lesson 3: Read QR Codes with Raspberry Pi Camera and OpenCV

Learn how to use the Raspberry Pi cmaera with OpenCV to detect and decode QR codes for simple automation and data retrieval applications. 

Thank You

Thanks for reading this tutorial. If you have any technical inquiries, please post in the Raspberry Pi Education Telegram Group.