This article is about how to use OpenCV and Dynamsoft Barcode Reader SDK to create a Python barcode reader on macOS.
Chrome OS, developed by Google, is a light-weighted operating system based on the Linux kernel. It uses Chrome web browser as the user interface that primarily supports web applications released as Chrome extensions. However, Chrome extension is not fresh to me. When running Chrome OS in a virtual machine, I wondered whether it is possible to run native apps. In this article, I want to share how to run a console application built with Dynamsoft C/C++ Barcode SDK on Chrome OS.
Last week I made a warm up for Kotlin, getting started to learn tutorials and reference. Now it is time to take the next step. Since Kotlin is hundred percent compatible with Java, we can use both programming languages without barriers in one project. In this article, I want to share how to build an Android barcode reader using Kotlin code and Java code.
.NET Core empowers C# developers to build DotNet applications for Windows, Linux, and macOS using one codebase. In this article, I want to share how to create a cross-platform .NET Core barcode app with Dynamsoft Barcode Reader SDK.
DBR 5.x is a big leap comparing to version 4.x. A lot of code has been refactored and optimized. This tutorial aims to help developers get familiar with new APIs, and learn how to build a Python barcode application using Dynamsoft Barcode Reader SDK 5.0.
Dynamsoft recently released Barcode Reader SDK v5.0 for Windows. You can think of it as a brand new product because a large number of APIs and data structures are redefined. If you have downloaded DBR v5.0 and tried to build Node.js barcode addon with it, you have to spend some time modifying the sample code that written for DBR v4.x. In this article, I will share the difference between DBR v4.x and DBR v5.0, as well as how to update the current code to fit the new interfaces.