Previously, I wrote an article Raspberry Pi Barcode Scanner with Webcam and Python illustrating how to build a simple barcode scanner using Dynamsoft Barcode Reader SDK and OpenCV from scratch. The method decodeFile() was used for detecting barcodes from an image file. To use the API, you have to firstly write image buffer that obtained by OpenCV API to a file. Because the I/O operation takes too much time, this API is not suitable for real-time barcode detection from webcam video stream. Considering this scenario, I have added a new Python API decodeBuffer(). In this article, I will illustrate how to create and use the new API.
OpenCV officially provides both C++ and Python APIs for developers. Most of the time, developers just need to use one kind of programming languages to read, write and process images with hundreds of computer vision algorithms. However, if you want to use OpenCV Python APIs with an extended C/C++ library, it will be tricky to pass the data. In this article, I will share how to read camera stream with OpenCV-Python and detect barcode with Dynamsoft C/C++ Barcode SDK.
When building a .NET application to read barcodes on Windows via camera, you need two types of SDKs – one for webcam, and the other for barcodes. In this post, I want to share how to use .Net webcam and barcode SDKs to create a simple WinForm barcode reader application in C#.
Dynamsoft aims to make barcode SDK available for all mainstream platforms, including Windows, Linux, macOS, iOS, and Android. There are many developers devoted to developing mobile barcode scanner app for iOS and Android platforms. To expedite the developing work, some of them may rely on a powerful detection and recognition libraries, like Dynamsoft mobile barcode SDK. In this post, let’s take a glimpse of how to use barcode SDK for Android to build Android barcode scanner with a few lines of code.
Previously, I shared two articles demonstrating how to build a Raspberry Pi barcode scanner in C/C++ with Dynamsoft Barcode Reader SDK, and how to optimize the code with thread. The hardware I used only includes Raspberry Pi 2 and Webcam. Now it is time to have fun with GPIO (General-purpose input/output). Assume you want to get rid of the display screen for making a robot with power bank, wheel, and webcam. And you need to use some indicators to monitor the status of barcode recognition. How to make it with GPIO pins and other peripherals?
When using PHP native extensions, you have to carefully match the right PHP version. Otherwise, it may cause a compatibility issue. In addition, the web server deployment of a PHP project with customized extensions is complicated as well. A proper solution for quickly experiencing a PHP project is to use Docker. In this article, I will demonstrate how to Dockerize the PHP barcode reader project built with Dynamsoft Barcode Reader SDK for Linux.
No matter whether you are a web developer or an end-user, you probably have heard of the terms SaaS, Paas, and IaaS. They are three different models of cloud service. Why more and more people tend to embrace web and cloud services such as Google Cloud, Azure, and AWS? Because no application download and installation needed. A variety of software and functions can be accessed via web browsers. Assuming you want to build a web barcode reader as a service from scratch. Using Dynamsoft Barcode Reader SDK will expedite your development.
When building mobile barcode scanning apps for Android or iOS, developers could either choose open source SDKs – ZXing and ZBar, or some commercial mobile barcode SDKs. If you are an Android developer and have installed Android Play Services SDK level 26 or greater, it is convenient to create Android barcode reader apps with Android Vision API as well. Since Google has released a demo on GitHub, we can learn how to construct a simple Android barcode reader from the source code. Let’s anatomize the code and try to build our own version.
Although we have successfully ported Dynamsoft Barcode Reader SDK to Raspberry Pi, the performance is not as good as I expected. In my previous article, I demonstrated how to integrate the SDK into a barcode scanner application, in which the detection code works with webcam frame in the same thread. Apparently, it will block UI if the algorithm costs too much time. In this post, I will do three things: optimize the code with thread, beautify the code with clang-format, and make the webcam barcode scanner auto-launched after the system booted.