Moving Heavy Computation from Raspberry Pi to Windows PC

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.

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Scanner Sidecar Solution with Raspberry Pi

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.

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Raspberry Pi Barcode Scanner in Python

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 write image buffer that obtained by OpenCV API to a file beforehand. 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.

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