About Labview community edition
LabVIEW for VMX uses the 2020 LabVIEW Community Edition.Downloading the installation package¶NoteThe LabVIEW download is 1.91GB and can be downloaded hereThis download links to a specific version of LabVIEW tested to work with the image on the VMX.Installation¶ImportantThe LabVIEW Community Edition will only install on the C drive. Ensure that there is sufficient space before installing.Extract the contents of the ni-labview-2020-community-86_xxx.iso to an empty folder.Right-click on the Install.exe and run as administrator.Go through the license agreement, accept the conditions, and hit Next.Click Next to install NI Package Manager.After installation of NI Package Manager, install LabVIEW 2020. Hit Select All and then Next.Go through more license agreements, accept the conditions, and hit Next.There will be an option to Disable Windows Fast Startup. This is optional but unchecking Disable Windows fast startup is recommended.Click Next again.Installation will take some time. Please be patient.If a software update box pops up during the install, select No.At the end of the installation, the activation process will pop up. Activation can be done by signing into your NI Account and tying the community edition to your account. If you do not wish to activate now, just hit cancel.Once complete, the computer will need to be restarted.LabVIEW 2020 can now be found on the computer.
Key features of the Labview community edition that are enabled through these drivers include:
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- Home Automation with LabVIEW Community Edition
- Labview Community 2025 Edition Activation
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An Easy Solution to Vision Acquisition for LabVIEW CommunityIntroductionLabVIEW is a cornerstone of automation and experimentation, even more so with the recent introduction of LabVIEW Community Edition, free for non commercial use, but the NI Vision Development Module’s licensing costs pose challenges for hobbyists and small-scale developers. This cost barrier conflicts with the open and free nature of LabVIEW Community Edition, leaving many looking for alternatives.To solve this, we’ve created a simple, cost-effective solution for vision acquisition in LabVIEW, combining:A Python server powered by OpenCV to stream webcam data. Nicely packaged in a PyInstaller executableA lightweight TCP protocol for image transfer.A LabVIEW API to integrate this into your projects seamlessly.And the best part? All source code for both Python and LabVIEW is included, empowering you to learn, adapt, and expand the solution.How It WorksOur solution consists of three components:Python Server: Streams webcam data via a TCP connection, encoding images as BMP files for easy parsing in LabVIEW.TCP Protocol: Uses simple commands like IMG? to request images, ensuring compatibility with LabVIEW's TCP tools.LabVIEW Wrapper API: Simplifies communication with the Python server, providing functions to open a connection, acquire images, and close the server.The Python ServerHere’s the Python script that powers the system. It streams webcam frames as BMP files over a TCP connection, using a lightweight protocol.Server Initialization using information from command lineFunction to capture frame from webcamServer "While 1" structure wating on commands and with single client connectionserver shutdownLabVIEW IntegrationThe Python server streams images in response to TCP commands, making it easy to integrate with LabVIEW. The LabVIEW wrapper API provides three main functions:Open Connection: Launch the server executable and Establishes a TCP connection to the Python server.Acquire Image: Sends the IMG? command, reads the image size, and fetches the BMP image.Close Connection: Closes the TCP connection and shuts down
