If you want to use Raspberry Pi as an economical way of detecting barcodes, you can take account for Dynamsoft Barcode Reader SDK. As a business software, Dynamsoft Barcode Reader SDK is designed for overcoming a variety of complicated scenarios with sophisticated algorithms and heavy computations. Although the SDK is flexible for customizing algorithm parameters, subject to the low-frequency CPU of Raspberry Pi, the tradeoff between recognition accuracy and detection speed is still a big challenge. In this article, I will use Socket client-server model as a substitute solution. Thanks to Sabjorn’s NumpySocket module.
Qt for Python enables developers to quickly create GUI apps on Windows, Linux and macOS with one codebase. In this article, I will share how to build a Python barcode reader with Qt on Windows. Since Dynamsoft Barcode Reader SDK is also cross-platform, it is easy for you to reuse the sample code on Linux and macOS.
Dynamsoft Barcode Reader 6.0 SDK is the best version ever. It dramatically improved barcode detecting speed and accuracy, especially for multiple barcodes per frame. Since there are some new APIs and parameters, I have to update both C++ and Python code for the Python barcode extension that was built with DBR 5.2 correspondingly.
Dynamsoft finally released Barcode Reader SDK v5.2 for Raspberry Pi. It is time to make an update. In this post, I will show you how to install the SDK, as well as how to write a simple Raspberry Pi barcode app using C/C++ and Python.
When porting code from Python 2 to Python 3, it is not as easy as you imagined no matter whether the primary programming language is Python or C/C++. Re-compiling the Dynamsoft Barcode extension for Python 3 is a challenge because I only found a few of documentation and resources online. Luckily, I succeeded in using Python 3 compatible APIs after reading the source code of Numpy.
According to the statistics of Stack Overflow traffic, Python is the fastest-growing major programming language in high-income countries. Python seems to be promising in the future. I have noticed that many of the developers who would like to use Dynamsoft Barcode Reader SDK for Linux are more interested in Python rather than C/C++ or Java. In this post, I will illustrate how to build the Python barcode extension with DBR 5.2.
Many excellent document mobile apps support not only image capture, but also edge detection and perspective transformation. If you are interested in these computer vision technologies, you can use OpenCV to create a free document scanner app yourself. In this post, I want to share how to use OpenCV-Python to create a web document scanner step by step.
Recently, I was inspired by a blog post “Python Live Video Streaming Example” and thinking whether it is possible to save the camera streaming to a video file. Based on the example code, I managed to figure out a solution. In this post, I want to share the process of building the web camera recorder using OpenCV and Flask.
Using OpenCV APIs to capture video from a camera is convenient. However, OpenCV does not provide an API for listing all available devices. If you have multiple cameras connected to your PC, you have no idea how to choose the right one. To get device information on Windows, you need to invoke DirectShow APIs. In this post, I will share how to create a Python extension that lists camera devices for OpenCV-Python on Windows.