Showing 5 open source projects for "device"

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  • 1
    A client program compatible with the INDI standard (see http://indi.sourceforge.net) for remote telescope and device control. It works under Windows as well as Linux. It is writen in Python and uses the GTK in order to display the GUI.
    Downloads: 1 This Week
    Last Update:
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  • 2
    TANGO Control System
    go to https://www.tango-controls.org and https://gitlab.com/tango-controls to get latest versions! TANGO is a device oriented control system for Linux and Windows. It provides a framework in C++, Java and Python for implementing distributed control objects. TANGO has a full set of tools and hundreds of device servers.
    Downloads: 4 This Week
    Last Update:
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  • 3

    walterbot

    walterbot: Virtual presence device www controlled with a raspberrypy

    walterbot è un "virtual presence device" controllabile da remoto via interfaccia web. La distro Debian per architettura ARMhf6 è stata ottimizzata per "Raspberrypi B rev2". Il codice python scritto da Walter, controlla 2 motori DC tramite un TB6612FNG https://github.com/InformaticiTarantini/Pi-dro La distro è "out of the box" basta clonare l'immagine su una SD card (minimo 2Gb) proprio come si fa con raspbian.
    Downloads: 0 This Week
    Last Update:
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  • 4
    Welcome to the world of social dreaming! Social dreaming is the new practice of dreamers interacting via the internet. These Python programs all use the Zeo home EEG bedside device at www.myzeo.com/sleep/shop/featured-products/zeo-sleep-manager-bedside.html, and www.sleepstreamonline.com. For an introduction to this topic, see my writings on lucid dreaming and multi-player dream games at http://books.google.com/books?id=tMSytmC089YC&lpg=PP1&pg=PA4#v=onepage&q&f=false and the IASD conference presentation at www.youtube.com/watch?...
    Downloads: 0 This Week
    Last Update:
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  • 5
    BCI Project Triathlon
    A three-step approach towards experimental brain-computer-interfaces, based on the OCZ nia device for EEG-data acquisition and artificial neural networks for signal-interpretation.
    Downloads: 0 This Week
    Last Update:
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