As Internet connection speed getting faster, more and more people tend to embrace cloud service. Any desktop applications could be transformed to cloud applications with better maintainability, security, and stability. End-users can use web browsers to get connected with social friends, store tons of personal data, watch live video, edit documents, publish blog posts and even write code. As a programmer, if you are still developing desktop applications, it is time to think about how to turn your apps into web services. In this article, we will take a glimpse of how to make webcam barcode scanner with Dynamic Barcode Reader SDK work and web technologies.
Dynamsoft Barcode Reader C++ SDK is available for Windows, Linux, and Mac (iOS and Android editions are coming soon). I have shared an article that illustrates how to build webcam barcode reader in Python. In this tutorial, I’ll use a different C++ API to implement barcode scanner applications for Windows and Raspberry Pi with a webcam.
On mobile platforms, HTML5 is not only supported by web browsers, such as Safari, Firefox, Opera, Chrome, but also web view UI component that used for building native apps. The benefit is apparent that any developer who is familiar with web programming could easily create excellent mobile apps for Android and iOS. Dynamsoft Barcode Reader SDK provides .NET APIs for Windows. You can implement a barcode reading module on server-side (IIS), and detect barcode images that captured from any mobile devices using HTML5. The article will illustrate how to make a mobile barcode reader based on B/S (Browser/Server) architecture.
Previously, I shared an article describing how to create an online barcode reader using Node.js, which turned Raspberry Pi into a web server. Today, I want to do another experiment – building a Raspberry Pi barcode scanner with a USB webcam. For taking HD video and photo, you can choose Raspberry Pi camera module.
When making third party libraries and SDKs for Android development, you could build so files, jar files, or aar files. I prefer providing aar files for distribution since aar file is a simple zip file which includes so files, jar files, and other resources.
Node.js is available for all platforms including IoT devices like Raspberry Pi. In this post, I will demonstrate how to quickly create an online barcode reader on Raspberry Pi using Node.js and Dynamsoft Barcode Reader SDK.
During Build 2016, Microsoft released a Visual Studio C++ extension for Linux. With the extension, you can use Visual Studio to write C++ code for Linux devices. In this post, let’s take a glimpse of how to install the extension and how to remotely build and debug C/C++ code for Raspberry Pi.
I have been playing Pi Emulator for a while. It is time to get my hands dirty on the real Pi device. In this post, I would share how to build my first C/C++ barcode reader application on Raspberry Pi.
If you are still focusing on Windows desktop development, it is time to migrate to IoT and mobile technologies that have a big boost in the near future. In this post, let’s take a glimpse of how to build C/C++ “hello world” program for Raspberry Pi and Android on Windows using GNU toolchain and NDK.