This document provides instructions for installing and configuring Videonetics IVMS video management software on a server. It involves: 1. Configuring NIC bonding and installing CUDA and Docker to enable video processing capabilities. 2. Running an installation file to deploy the IVMS master server, media servers, and database. 3. Manually starting the media and master servers initially and accessing the web console to configure settings. The full document then provides additional steps for adding media servers to the client and demonstrates the live video monitoring capabilities.

1. Videonetics
IVMS Software

2. Videonetics Solution Components
01.
NIC Bonding
02.
CUDA and Docker Installation
03.
IVMS Installation & DB configuration
04.

3. a. VMS Master Server
b. VMS Media Servers
c. Database Server
d. Basic Video Analytics
e. AI Based Video Analytics
f. Surveillance Storage Component
h. VMS Client Workstations
IVMS System comprising of

5. auto bond0
iface bond0 inet static
post-up ifenslave bond0 eth0 eth2
pre-down ifenslave bond0 eth0 eth2
bond-slaves none
bond-mode 4
bond-lacp-rate fast
bond-miimon 100
bond-downdelay 0
bond-updelay 0
bond-xmit_hash_policy 1
address 192.168.1.254
netmask 255.255.255.0
gateway
auto eth0
iface eth0 inet manual
auto eth2
iface eth2 inet manual

6. CUDA (or Compute Unified Device Architecture) is a parallel computing
platform and application programming interface (API) that allows software to
use certain types of graphics processing units (GPUs) for general purpose
processing, an approach called general-purpose computing on GPUs
(GPGPU).
wget https://developer.download.nvidia.com/compute/cuda/repos/
ubuntu1804/x86_64/cuda-ubuntu1804.pin
sudo mv cuda-ubuntu1804.pin /etc/apt/preferences.d/cuda-repository-pin-600
wget https://developer.download.nvidia.com/compute/cuda/11.7.1/
local_installers/cuda-repo-ubuntu1804-11-7-local_11.7.1-515.65.01-
1_amd64.deb
sudo dpkg -i cuda-repo-ubuntu1804-11-7-local_11.7.1-515.65.01-
1_amd64.deb
sudo cp /var/cuda-repo-ubuntu1804-11-7-local/cuda-*-keyring.gpg
/usr/share/keyrings/
sudo apt-get update
sudo apt-get -y install cuda

8. 2304 CUDA cores, 288 Tensor cores, 36RT cores

9. Installing Docker, follow below steps
Docker community edition installation:
sudo apt-get remove docker docker-engine docker.io containerd runc
sudo apt-get update
sudo apt-get install
apt-transport-https
ca-certificates
curl
gnupg-agent
software-properties-common
curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo apt-key add -
sudo apt-key fingerprint 0EBFCD88
sudo add-apt-repository
"deb [arch=amd64] https://download.docker.com/linux/ubuntu
$(lsb_release -cs)
stable"
sudo apt-get update
sudo apt-get install docker-ce docker-ce-cli containerd.io
sudo usermod -aG docker $USER

10. Copy the “Installer-ivms-api-1307” file to root folder of server.
Unzip it there and execute the command
cd
chmod +x Installer-ivms-api-1307
unzip Installer-ivms-api-1307
cd Installer-ivms-api-1307
chmod +x ivms-api-install
./ivms-api-install
It will install all the required services.
Replace all the jar files

12. PART 02

13. Start the Media server and Master server manually
using below commands,
cd /opt/IVMSServer/MediaServer
chmod +x run.cmd
./run.cmd
Open another terminal and run below commands
cd /opt/IVMSServer/VMS
chmod +x run.cmd
./run.cmd

14. Login to web console and change the site name.
URL: https://10.x.3.21:8081/

15. Now login to IVMS client and check the media server, there will be no media servers added, login to below
URL to add media server URL: https://10.x.3.21:8082/

16. Live Demo