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I elected to create a new, isolated Python 3 virtual environment and followed the Ubuntu (or macOS, depending on which machine I was using) OpenCV installation instructions linked on this page. Virtual environments are a best practice for Python development and I highly encourage you to make use of them. Or create a new, isolated virtual environment which involves installing OpenCV.Use an existing virtual environment that has OpenCV ready to go (skip this step and head to Step 3).

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Step 2 (Optional): Create a virtual environment and install OpenCV Installing ZBar for macOS using brew is equally as easy (assuming you have Homebrew installed): $ brew install zbar Installing ZBar for Ubuntu can be accomplished with the following command: $ sudo apt-get install libzbar0 Step 1: Install zbar from the apt or brew repository

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Installing the necessary software is an easy 3-step process.

Installing ZBar (with Python bindings) for barcode decodingĪ few weeks ago Satya Mallick from the LearnOpenCV blog posted a really great tutorial on using the ZBar library to scan barcodes.

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Starting with a single image will give us the practice we need to prepare for the next step: Reading barcodes and QR codes in real-time with OpenCV and ZBar,įinally, I’ll demonstrate how to deploy our real-time barcode scanner to the Raspberry Pi. Once ZBar and OpenCV are properly configured I’ll demonstrate how to scan barcodes and QR codes in a single image. The ZBar library will be used together with OpenCV to scan and decode barcodes and QR codes. In the first part, I’ll show you how to install the ZBar library (with Python bindings). Today’s blog post is broken into four parts. Looking for the source code to this post? Jump Right To The Downloads Section An OpenCV barcode and QR code scanner with ZBar To learn more about reading barcodes and QR codes with OpenCV and ZBar, just keep reading. Inside today’s tutorial, I will show you how to read barcodes and QR codes with OpenCV and ZBar.Īnd as an added bonus, I’ll demonstrate how to deploy our barcode scanner to the Raspberry Pi as well! One set of ZBar bindings in particular, pyzbar, is my personal favorite. The ZBar library, along with its various forks and variations, have come a long way. If this sounds like a complicated process, it’s actually pretty straightforward. OpenCV can come back in to perform any further processing and display the result. The ZBar library will then decode the barcode or QR code.

Once we have the image or frame we can then pass it to a dedicated Python barcode decoding library such as a Zbar. However, what OpenCV can do is facilitate the process of reading barcodes and QR codes, including loading an image from disk, grabbing a new frame from a video stream, and processing it. The short answer is no, OpenCV does not have any dedicated modules that can be used to read and decode barcodes and QR codes. Keep doing what you’re doing.ĭoes OpenCV have any modules that can be used to read barcodes or QR codes? Or do I need to use an entirely separate library? Hey Adrian, I really love the PyImageSearch blog. Today’s blog post on reading barcodes and QR codes with OpenCV is inspired by a question I received from PyImageSearch reader, Hewitt:

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Using QR codes is therefore likely to improve your conversion rates, compared to the traditional method of manually typing a URL.Click here to download the source code to this post Hence, it is more likely that the user will complete the desired action, whether it's visiting an informative page on your website, filling outĪ form on your landing page or following you on social media. Good usage of QR codes reduces friction in the user experience. All of these extra steps come with typing errors and additional frustrations that can prevent the user from finding the information they need, or completing the action you want them Before QR codes, people would have to open their browser, type in a long URL, or search for youĭirectly on social media.

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QR codes are one of the most innovative ways of connecting offline and online experiences in a seamless way.