CAMERA INSTALLATION INSTRUCTIONS

Aravis is a machine vision software kit developed to simultaneously use machine vision cameras of different manufacturers. Aravis is a GObject based vision library originally created for Linux to control and acquire images from digital industrial cameras. Aravis uses the GenICam API to operate the machine vision cameras and comes with a basic viewer interface. It is also built like any other Meson build. You can download Aravis for free at GitHub.

The Daheng Galaxy Viewer program is the main tool to test and program the camera. With Galaxy viewer it is possible to change and store camera parameters and to capture and store images. It has multiple plugins for additional features like crosshair, grid and LUT. We are going to show you the possibilities and how to use the Daheng Galaxy Viewer.

Python is a programming language you can use to create your machine vision program. In this article we show you how to download, install and use a python sample to acquire images. We are using the program PyCharm.

Microsoft Visual Studio is an integrated development environment (IDE) from Microsoft. It is used to develop computer programs among many other software’s. The basic edition of Visual Studio, the Community edition, is available free of charge. Visual Studio supports 36 different programming languages and allows the code editor and debugger to support (to varying degrees) nearly any programming language. Built-in languages include C, C++, C++/CLI, Visual Basic .NET, C#. Support for other languages such as Python is available via plug-ins.

Our USB3 / GigE industrial machine vision cameras work with many 3rd party machine vision software packages, like MvTec Halcon, NI Labview, Cognex Vision Pro, Matlab and OpenCV. We provide you with detailed manuals which explain how to install and operate our cameras with this software. The manuals are available for MvTec Halcon, NI Labview, Cognex Vision Pro, Matlab, OpenCV and Arm Boards software.

This article will explain how to download, install and use the Linux Galaxy Software Development Kit (SDK). With this SDK you can modify industrial camera parameters and acquire images from our USB3 and GigE cameras. You can run this program on X86 or ARM hardware, like computers or small development boards like the Nvidia Jetson series and the Raspberry Pi. The pictures in this article are from an X86 industrial development board, running linux (Ubuntu 20.04). After following these 3 steps, you can download, install and use the Galaxy View SDK on Linux.

In this article we will show video tutorials on how to install the Daheng Imaging Python and C++ SDK on a Raspberry Pi. All required drivers can be found in the download section of our website. Our GigE and USB3 industrial vision cameras do work with a raspberry pi. We have even tested multiple 5MP, 10MP, 18MP and 20 Megapixel industrial vision cameras on a single Raspberry Pi. Please note that a Raspberry Pi3 has only a USB2 an 100mbit ethernet port. Therefore the frame-rate will be lower. The Raspberry Pi4 has a USB3 and GigE port. On the Raspberry Pi 4, the USB3 port can achieve a maximum of 300mbit. This means that a 20MP industrial vision camera can run at max 15fps.

In this QuickStart we explain in 5 simple steps how to install a machine vision camera from Daheng Imaging. This article is based on a setup with a windows pc and a USB3 or GigE Machine Vision Camera. For all other operating systems use the the manuals in our download section.