Object detection is a computer technology related to computer vision and image processing that deals with detecting instances of semantic objects of a certain class (such as humans, buildings, or cars) in digital images and videos.1 It can be used in a barcode reading task as barcodes are often printed...

In my previous article, I demonstrated how to create a simple Android QR code scanner. Building on that foundation, I’m taking things a step further by integrating the YOLOv4 Tiny model that I trained specifically for QR code detection into the Android project. But how effective is YOLO Tiny for...

Dynamsoft Barcode Reader SDK allows developers to customize algorithm parameters against different barcode scanning scenarios. There are some pre-configured parameter templates for decoding performance. No matter you pursue ultimate decoding speed, ultimate decoding accuracy, or the tradeoff between speed and accuracy, there is always an appropriate one. Since the parameters...

In the past two weeks, I trained a custom YOLOv3 model specifically for QR code detection and tested it using Darknet. In this article, I will demonstrate how to use OpenCV’s DNN (Deep Neural Network) module to load the YOLO model for detecting QR codes from static images and real-time...

In my previous article, I shared how to integrate Dynamsoft Barcode Reader to LabelImg for annotating barcode objects. It is time to take a further step to make some custom models for barcodes. In this article, I will go through the process that I used Darknet to train YOLO v3...