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  2. ZoneMinder - Wikipedia

    en.wikipedia.org/wiki/ZoneMinder

    ZoneMinder is a free, open-source software application for monitoring via closed-circuit television - developed to run under Linux and FreeBSD and released under the terms of the GNU General Public License (GPL).

  3. Haven (software) - Wikipedia

    en.wikipedia.org/wiki/Haven_(software)

    Haven is a free and open-source security application for Android designed to monitor activity occurring in the vicinity of a device using its built-in sensors, and to alert the device owner of such activity.

  4. List of open-source hardware projects - Wikipedia

    en.wikipedia.org/wiki/List_of_open-source...

    OpenCores, a loose community of designers that supports open-source cores (logic designs) for CPUs, peripherals and other devices. OpenCores maintains an open-source on-chip interconnection bus specification called Wishbone; OpenRISC is a group of developers working to produce a very-high-performance open-source RISC CPU.

  5. Guardian Project (software) - Wikipedia

    en.wikipedia.org/wiki/Guardian_Project_(software)

    It has also partnered with prominent open source software projects, activists groups, NGOs, commercial partners and news organizations to support their mobile security software capabilities. In November 2014, "ChatSecure + Orbot" received a top score on the Electronic Frontier Foundation 's secure messaging scorecard, along with Cryptocat ...

  6. ONVIF - Wikipedia

    en.wikipedia.org/wiki/ONVIF

    ONVIF (the Open Network Video Interface Forum) is a global and open industry forum with the goal of facilitating the development and use of a global open standard for the interface of physical IP-based security products.

  7. Video management system - Wikipedia

    en.wikipedia.org/wiki/Video_management_system

    For a very large and complex security camera system, there may be too many cameras, too much network bandwidth, too much data to be analyzed, or too much storage required for a single server device to handle the workload. In this case the workload is divided across multiple server devices, each handling a slice of the overall workload.

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