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NxWitness + VisionLabs' FaceStream and LUNA Integration -generic events basedAll the required files can be downloaded from the link below:Part One: InstallPossible system setups:Minimum Requirements for FaceStream:General diagram:Requisites to have before we proceed:Step 1. Import of the Virtual Machine (LUNA)Step 2. License Number 1 InstallationStep 3. License Number 2 Installation.Step 4. Launch FaceStreamStep 4. Configuring and launching Python scriptsStep 5. Check if the System worksPart Two: UIPart Three. NxWitness Desktop ClientAll the required files can be downloaded from the link below:https://drive.google.com/drive/folders/1rpvdyJfDUlngz3WK0GgjCGGxnteh4PDV?usp=sharingIn order to obtain a trial License required to activate VisionLabs' Software, please contact , VisionLabs sales rep.Anton NazarkinPart One: InstallA combination of a face recognition software (FaceStream) and a powerful media server (NxWitness) brings you an ability not only to improveand to advance your existing security system,but also allows you to implement such mechanisms as keyless door control and many more with minimum system/hardware requirements.User friendly NxWitness UI allows you to control your security/surveillance objects with high efficiency without high level background knowledgerequired.!!! This manual covers current way(using Linux CentOS 7.3 VM with VisionLabs Luna pre-installed and configured) to integrate FaceStream with !!!NxWitness Possible system setups:Luna Vm + FaceStream & NxWitness running on the samedevice Luna VM + FaceStream & NxWitness using different hardwarePros: easier setup, easier to troubleshoot, less hardware vianetwork interaction. Pros: can be implemented on a pretty basic hardware, independentservers make system more stable,more room for future upgrades/modifications.Cons: Higher hardware requirements. Higher demand on powermanagement and administration. Cons: More operations have to be done in order to follow relevantnetwork setup.Minimum Requirements for FaceStream:CPU 2GHz.4Gb RAM.HDD free space 400Mb.
Windows (64-bit) 7 and up or CentOS 7.3 x86_64.From our experience and in order to decrease the processing time, we strongly recommend to run the VM image ( )Luna with the followingsettings:8Gb RAM and up.CPU cores 6 and up.SSD 10Gb or more.General diagram:Comments:VisionLabs Analytics = FaceStreamVisionLabs UI = LUNARequisites to have before we proceed:For the device with :NxWitnessCamera ID.Full access to your current .Nx SystemFor the device with VisionLabs Virtual Machine ( ):LUNAHardware virtualization support is enabled in BIOS.VisionLabs activation keys ( .v2c file ).VirtualBox or VMWare installed.Microsoft C++ Redistributable 2015.Sentinel HASP (software protection system, used by VisionLabs LLC. You need to install license file and driver for HASP installation)*.Python 3.4 and up.* - will be provided together with VisionLabs VM image(LUNA).

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