Showing 3 open source projects for "webcam usb"

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    AudiculaPi

    AudiculaPi - the tiny media server for your Raspberry Pi

    AudiculaPi - the tiny media / home automation server for your Raspberry Pi 1-2B+ based on OpenWrt/ Chaos Calmer (without RPI3 support) * Minimalistic system, installed and running on a just 256MB sized SD card * AudiculaPi provides a detailed Web Browser GUI with multi language support Already preinstalled: * Homeautomation with Domoticz (http://www.domoticz.com) Tested with HW: RFXtrx433E USB 433.92MHz Transceiver by RFXCom and Z-Wave Plus USB Stick ZME_UZB1 by Z-Wave.me * MPD, Musi Player Daemon - Internet Radio / MP3 /OGG / FLAC etc. player (with LCD support based on PyDPF) * pianod * SAMBA * SSH/SFTP Server * MiniDLNA * Shairport * Avahi * OpenVPN * WebCAM Video Streaming with mjpeg-streamer * NTP client / server * WLAN client and / or access point * ... countless other gadgets, use web based packet manager powered by OpenWrt repository !
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  • 2
    experix laboratory control system

    experix laboratory control system

    instrument control, data acquisition display and analysis

    ...The core is written very generally in order to support applications by means of script files. Device interfaces: PCMCIA daq (2 devices tested) via kernel module with interrupt handler and memory-mapped data; USB daq (1 device tested) using libusbx; running an equipment servicing program via pipes. Interfaces accessible via commands and scripts: file i/o modelled on stdio and stdlib; usb control and bulk transfers; socket operations; webcam; graphics via framebuffer. Applications (not all available yet for download) include: cell poker (like an atomic force microscope); tissue mechanical tester; fluorescence photobleaching; alternating laser excitation fluorescence; fluorescence intensity distribution analysis; iverilog simulation analysis.
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  • 3

    ArtificialIntelligenceHomeSecurity

    Deeplearning based model for home security.. attach a webcam run this

    ...The standalone binary executable requires minimal external dependencies as the libraries such as tensorflow, openCV, pygame and others are linked within the software. The software works by capturing the image using inbuilt/USB powered webcam, comparing the subsequent images for pixel differences and piping the image through deep learning algorithm. Once the object of interest(human in present case) is detected, the software attempts to send email with image as an attachment to the designated email ids. The feature is currently restricted to dummy email id, if you want to customize it to yours, pl. send me an email with request. ...
    Downloads: 0 This Week
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