Search Results for "open source pos"
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Showing 7 open source projects for "open source pos"
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Snap7
32/64 bit multi-platform Ethernet S7 PLC communication suite
Snap7, through three specialized components: Client and the inedited Server and Partner, allows you to definitively integrate your PC based systems into a PLC automation chain. Designed to transfer large amounts of hi-speed data in industrial facilities, it scales easily, down to small Linux Arm boards such as Raspberry PI. Hi level object oriented wrappers are provided, currently C/C++, .NET/Mono, Pascal, LabVIEW, Python with many source code examples. Very easy to use, a full... -
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OpenEEG for LabVIEW
VI for the OpenEEG Project
VI package to read, analyze and graph EEG signals -
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Distributed, object-oriented and event-driven LabVIEW based Control System Framework with some SCADA functionality. Documentation about the CS framework is provided via a dedicated web page, http://wiki.gsi.de/cgi-bin/view/CSframework/WebHome . Please note: This project is deprecated an no longer actively maintained. Please follow the link above for more information.
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This toolkit allows complete control of a microscopy setup from Labview, Matlab, Scilab, Python, .Net, VB, IgorPro, Mathematica and more. Included is a standalone program for image acquisition and scripting control of a scientific microscope.
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Patching and Endpoint Management for Under $1/EndpointSplashtop AEM gives IT teams automated patching, monitoring, and unattended remote access for Windows and macOS. No long setup, no paying extra for key features.
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This LabView project includes a Web Service (WS) and website interface hosted by a LabView server. The WS and website allow clients to acquire measurements from instruments remotely in real time, using standard browsers (e.g. iPhone) without plugins.
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Optical trap control software. This project provides an example LabVIEW software program to perform data acquisition and feedback control of optical tweezers, especially for single-molecule biophysics experiments.
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This project will use 3D Human Emulation using sensors to pickup human movements and displaying them on GUI for analysis.
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