Dynamic Web TWAIN for Raspberry Pi is on Dynamsoft Labs now. No matter whether you are a Dynamic Web TWAIN user or not, if you want to build a document scanning and management system with low cost, you should experience this edition. Build a smart and wireless scanner with a $35 Raspberry Pi, and scan documents from any HTML5 supported web browsers on any devices including PC, laptop, smartphone and tablet. In this article, I will illustrate how to set up the environment and build a simple web app for scanning documents with no plugin.
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?
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.
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.
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.
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.
Raspberry Pi 3 has been released for a while. The new RPi device added Bluetooth and Wi-Fi. More and more students and developers tend to study and work using Raspberry Pi, which supported by Windows and Linux. If flashing Windows 10 IoT core on Raspberry Pi, you can build IoT projects with Visual Studio 2015 and remotely debug your code. If you use Raspbian – the official supported Linux system, you can connect your keyboard, mouse, cable and display monitor to the board and directly write code on the small device. For the case that you want to switch work frequently between Windows and Raspbian, using the emulator QEMU may be a better choice.