First, let’s learn how to install the software on your system. Well, this is not exactly the easiest project to get started with OpenCV, but it gives you an idea. If it matches, you can send a signal to the GPIO pins (or a smart device) to open the garage door. You can for example have the camera detect when your car shows up in front of the garage (object detection), find the license plate, and read the number on it (text recognition). Typical examples of OpenCV use are image manipulation (I’ll give you some basic code to do this later), object detection (recognizing a specific type of object, like a face or pet), or object tracking (a robot can follow you, for example).Ī classic OpenCV project will use other features from the Raspberry Pi, like the camera module and the GPIO pins. If you are reading this, you have probably already seen some cool projects using it. In short, it’ll provide you with interesting functions to manipulate images and videos. OpenCV is an open-source library, compatible with languages like Python or C++, which allows you to build computer vision and machine learning projects.īy the way, CV stands for “Computer Vision”. If you are lost in all these new words and abbreviations, request my free Raspberry Pi glossary here (PDF format)! Raspberry Pi without Python is like a car without an engine, you miss all the fun parts. It will guide you step-by-step to learn the essential concepts (and only the essential concepts) required to achieve any project in the future. Let’s start with a brief introduction to OpenCV and its main features, and then I’ll show you how to install it on your Raspberry Pi and create your first scripts with it.īy the way, if you get overwhelmed as soon as Python is required for a project, I recommend checking out my e-book “ Master Python on Raspberry Pi“.
For Python, it can be installed with apt, by using the following command: sudo apt install python3-opencv. The OpenCV library is now available in the default repository on Raspberry Pi OS and most Linux distributions.
That’s why I wrote this tutorial, to help you to get started with OpenCV. But before doing all of this, you have to set it up correctly, and it isn’t straightforward for beginners. Even if the Raspberry Pi is a cheap piece of hardware, showing it with a camera, using artificial intelligence and electronics is pretty impressive. OpenCV is often used to promote Raspberry Pi capacities.
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