Server Requirements for Vision Sense VMS and AI Box

The system diagram of the LinkSprite Vision Sense AI Video Analytics solution is shown below:

From functions point of view, the existing IP cameras can be connected to local VMS, and then video stream passing from VMS to AIbox for video analytics, which has configurable TIYcam container (TIY for train it yourself). The results data are pushed to the central DeepCloud platform to record the log and subsequent processing and display.

Depending on the number of cameras in the local site, there are two server configurations:

The recommended first configuration is to have separate VMS server and AI box if the number of cameras is more than a dozen. This is because the AI processing can take a lot of computation resources of the server and make the VMS software not respond well.

If the number of cameras is less, then we can use the second configuration, where we combine the VMS server and AIbox into one physical server.

Configuration 1:

VMS server:

Item Specification
CPU Intel  i5-6700
Storage 1T HDD and 500GB SSD (Two Storage devices are required, one for system, and the other one for storage)
Network port 2 x RJ45
Server Specification for VMS server

AI Box:

Item Specification
CPU Intel  i7-6700
Memory 32GB DDR4 2666
GPU Nvidia RTX 3060
Storage 500GB SSD
Network port 2 x RJ45
USB 4 x USB 3.0, 2 x USB 2.0
Power 1U 600W
Display Port 1 x HDMI, 2 x VGA
Serial Port 1 x RS232
Audio 3 Audio connect Port
Size 120mm*270mm*280mm
Server Specification for AIBox