SentiVeillance Cluster

Persons or vehicles recognition and tracking for video management systems (VMS)

SentiVeillance Cluster is a ready-to-use software for easy integration of biometric face identification, vehicle and pedestrian classification and tracking, as well as automatic license plate recognition into operating video management systems (VMS). The software analyzes live video streams, which are served by a VMS from surveillance cameras.

The list of possible uses includes law enforcement, traffic monitoring, security, attendance control, visitor counting and other applications.

Designed for installation on server hardware which is running under Linux.

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System Requirements

SentiVeillance Cluster is designed to receive video streams from video management systems (VMS). SentiVeillance Cluster software installations and VMS installations are expected to run on separate machines and communicate over network.

There are specific requirements for VMS and SentiVeillance Cluster software.

System requirements for video management systems (VMS)

SentiVeillance Cluster software uses face biometrics to perform persons identification and tracking in video streams, which are received from VMS. The results of SentiVeillance Cluster operations are sent back to the VMS.

SentiVeillance Cluster is designed to be used with the following video management systems (VMS):

  • Milestone XProtect VMS. The plug-in for this VMS can be customized, as its source code is provided.
  • Standalone Generic VMS client (sample sources are provided) can also be used on Microsoft Windows platform. This client accepts video streams via RTSP (Real Time Streaming Protocol) with some specific requirements:
    • Only RTP over UDP is supported.
    • H.264/MPEG-4 AVC or Motion JPEG should be used for encoding the video stream.

A VMS should be deployed on hardware which provides enough resources for generating specified resolution video streams and storing video for a specified time frame. Please refer to VMS manufacturers for specific system requrements.

System requirements for SentiVeillance Cluster software

SentiVeillance Cluster software is designed to use cluster architecture for processing video streams from any number of cameras. These system requirements are provided for recommended configuration with up to 10 cameras processed per one machine in a cluster. Contact us if you need hardware recommendations for processing higher number of video streams on one machine.

Each installlation of the SentiVeillance Cluster software is expected to run on a dedicated PC or server hardware with Linux OS, which does not run any non-related services or applications.

There are the following system requirements for each machine in a SentiVeillance Cluster based system:

  • PC or server hardware with x86-64 (64-bit) compatible processor:
    • 3 GHz or better processor with 6 cores is recommended.
    • AVX2 support is required. Most modern processors support this instruction set, but please check if a particular processor model supports it.
  • A graphical processing unit (GPU) is required.
    • NVIDIA GeForce RTX 3080 GPU or better is recommended for systems with up to 10 cameras.
    • at least 6 GB of VRAM is recommended.
    • Compute Capability 3.5 or better should be supported by the GPU.
    • CUDA 11.x toolkit or newer is required
    • cuDNN 7.5 library is required.
  • 32 GB of RAM is recommended.
  • Network connection. At least 1 gigabit per second data transfer rate is recommended for real-time processing of multiple high resolution video streams.
  • Linux specific:
    • Debian 11.2 OS
    • glibc 2.17 or newer
    • GStreamer 1.10.x or newer with gst-vaapi plugins installed for hardware accelerated video decoding
    • libgudev-1.0 219 or newer
    • wxWidgets 3.0.0 or newer libs
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