Manual
User Manual: Pdf
Open the PDF directly: View PDF 
.
Page Count: 17
| Download | |
| Open PDF In Browser | View PDF |
NxWitness + VisionLabs' FaceStream and LUNA Integration generic events based All the required files can be downloaded from the link below: Part One: Install Possible 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 Installation Step 3. License Number 2 Installation. Step 4. Launch FaceStream Step 4. Configuring and launching Python scripts Step 5. Check if the System works Part Two: UI Part Three. NxWitness Desktop Client All the required files can be downloaded from the link below: https://drive.google.com/drive/folders/1rpvdyJfDUlngz3WK0GgjCGGxnteh4PDV?usp=sharing In order to obtain a trial License required to activate VisionLabs' Software, please contact Anton Nazarkin, VisionLabs sales rep. Part One: Install A combination of a face recognition software (FaceStream) and a powerful media server (NxWitness) brings you an ability not only to improve and 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 knowledge required. !!! 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 same device Luna VM + FaceStream & NxWitness using different hardware Pros: easier setup, easier to troubleshoot, less hardware via network interaction. Pros: can be implemented on a pretty basic hardware, independent servers make system more stable, more room for future upgrades/modifications. Cons: Higher hardware requirements. Higher demand on power management and administration. Minimum Requirements for FaceStream: CPU 2GHz. 4Gb RAM. HDD free space 400Mb. Cons: More operations have to be done in order to follow relevant network setup. 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 following settings: 8Gb RAM and up. CPU cores 6 and up. SSD 10Gb or more. General diagram: Comments: VisionLabs Analytics = FaceStream VisionLabs UI = LUNA Requisites to have before we proceed: For the device with NxWitness: Camera ID. Full access to your current Nx System. For the device with VisionLabs Virtual Machine (LUNA): Hardware 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). Step 1. Import of the Virtual Machine (LUNA) 1. Launch the lunaX-X-XX-demo-vm.ova from the delivery package. 2. Import of the virtual machine will start. Press "Import" to continue. 3. Go to Player -> Manage -> Virtual Machine Settings. 4. In the Hardware tab, go to the Network Adapter menu item and set the Host-only value. Click OK and close the Settings window. 5. Reboot the virtual machine and wait for the process to finish. 6. The local address value is displayed in the Virtual machine screen. In the example below, the address is 192.168.164.28, although it may differ according to the installation version. Step 2. License Number 1 Installation 1. Go to https://: 9000/hasp. Go to Update/Attach. 2. Click Browse and select the *. v2c license file from the delivery package. Make sure the file is joined to the session. 3. Click Apply File. 4. If the applying process was successful, the following message appears: «Your update was applied successfully». Step 3. License Number 2 Installation. 1. Open cmd and for the Sentinel HASP (local_drive\facestream2_win_v.1.5.2\extras) driver installation launch haspdinst.exe utility with “-i” (install) parameter from the command line. a. IMPORTANT! If you have issues installing HASP driver on Windows 10 (eg. installation never finishes), try to look for solution here: http://sentineldiscussion.gemalto.com/topic/slow-installation-using-command-line-installer-haspdinst-exe. Basically, you need the package not older, than this one: https://supportportal.gemalto.com/csm/?id=kb_article&sys_id=32fbed35db373684d29 8728dae96199e. After that, do the Step 3.1. 2. After installation is completed, go to the web-page http://localhost:1947. Choose the license file *.V2C in the menu section «Update/Attach» by clicking on «Choose file», then activate it by clicking on «Apply file». Step 4. Launch FaceStream 1. Get RTSP link for the desired camera from NxWitness: Open web interface of the NxWitness media server - http://127.0.0.1:7001/static/index.html#/view?cameraLinks !!!If you are using a different device to run NxWitness, replace 127.0.0.1 with an actual local IP address!!! Enable 'Use credentials' checkbox in Camera Details panel. Enter credentials for NxWitness. Copy link address for High Stream RTSP. 2. Open cmd and CD to a folder with the FaceStream program/bin. 3. Run the FaceStream with the RTSP link as an argument. Eg.: FaceStream2.exe -Src rtsp://admin:admin123@10.1.5.197:7001/e3e9a385-7fe0-3ba5-5482-a86cde7faf48?stream=0 -Dst http://192.168.56.101:9 000/facestream/receiver !!! 10.1.5.197 - local IP address of a device with NxWitness !!! !!! 192.168.56.101 - local IP address of the VisionLabs VM !!! Step 4. Configuring and launching Python scripts 1. Open folder itcanfly-luna-stats-c0b659cd813d. 2. Configure Python Integration Script: Open settings.py and update the parameters below NOTIFICATION_URL - use Nx Server credentials + IP address Eg.: http://admin:NxWitness@10.1.5.146:7001/api/createEvent SUBSCRIPTION_URL - use Luna Web Socket address Eg.: ws://192.168.56.4:9000/events/api/subscribe CAMERA_ID https://support.networkoptix.com/hc/en-us/articles/217051248-API-Tip-Finding-a-cameraId LUNA_LIST - can be found at http://192.168.56.4:9000/lists where 192.168.56.4 is your VM’s IP address. LUNA_TOKEN - can be found at http://192.168.56.4:9000/tokens where 192.168.56.4 is your VM’s IP address. 3. Install all the dependencies by running a command below from cmd: pip3 install -r requirements.txt 4.Run: python3 server.py Step 5. Check if the System works Proceed to http://192.168.56.4:9000/facestream/view - constant address of the FaceStream Manager, where 192.168.56.4 is your VM’s IP address: Once objects start to appear in front of the camera, the page will be updated in the following manner: Part Two: UI LUNA's Web Interface can be found at . Once you navigate to it, you'll be promted with a login page as shown below: !!! For the login information, please contact Anton Nazarkin, VisionLabs sales rep, on behalf of the NetworkOptix, Inc. !!! Once logged in, click on Persons button to navigate to the Persons List web represantation page: In order to add a new person to a list, click on a plus sign as shown below: Assign photos, previously captured by the system to a new person: Replace the description text by a new person's name and check the V to validate: Click on Lists button from the right side menu and navigate to Lists: Navigate to Persons List and click on a "+" sign to add a person to the list of the varified personel: Choose from people you have assigned photos to: Refresh the page once done. Part Three. NxWitness Desktop Client Before we move on to the NxWitness part, please get familiar with the processes below: Installation Camera Configuration Soft Triggers HTTP Events All the http requests received by the Nx Media Server in our case are treated as triggers. This way, by modifing rules within the NxWitness Desktop Client, we can schedule/define actions. As shown below, we communicate with a third party server every time a request is received: To make sure only the requests received from the face recognition system are being processed, we fill in the Source field accordingly - LUNA. And here is another example of a rule, scheduled within the Desktop Client. Every time a generic event happens, the system creates a bookmark: To make sure, we register only related events, we fill in the Source field accordingly - LUNA.
Source Exif Data:
File Type : PDF File Type Extension : pdf MIME Type : application/pdf PDF Version : 1.4 Linearized : No Modify Date : 2018:05:16 02:12:53Z Create Date : 2018:05:16 02:12:53Z Producer : iText 2.1.7 by 1T3XT Page Mode : UseOutlines Page Count : 17EXIF Metadata provided by EXIF.tools