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 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.
For the past few months, I have been learning Raspberry Pi. In this post, I will collect all relevant resources together in order to help readers build barcode applications on Raspberry Pi with Dynamsoft Barcode SDK.
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.