AW-SF100 System Requirement
To use this software, the following requirements are necessary.
Required specifications
| CPU | Core i7-8750H (2.2GHz) or above |
|---|---|
| Memory | 8 GB or above |
| Display Resolution | 1920 x 1080 or above |
| OS | Windows 10 64bit Windows 11 64bit |
| NVIDIA GPU | Before choose PC with GPU, please make sure following GPU architecture. Pascal architecture NVIDIA GTX 1050Ti or later NVIDIA Quadro P2000 or later Turing architecture NVIDIA GeForce RTX 2060 or later NVIDIA Quadro RTX 4000 or later Ampere architecture NVIDIA RTX 3060 or later NVIDIA RTX A2000 or later GPUs with Ada Lovelace architecture (RTX4060 etc.) are not supported. <note> To use deep learning human detection on a GPU, you need to install the NVIDIA CUDA Toolkit. Refer to the following instruction manual to install CUDA Toolkit 11.4.1. * GPU is required for system operation in Version 5.0.7 or later. * Please download and install the latest version of GPU driver from NVIDIA's website. |
| WEB Browser (Web application Version only) | Google Chromes |
AW-SF200 System Requirement
To use this software, the following requirements are necessary.
The server PC is the PC on which this software is installed, and the client PC is the PC used to access the server and display the GUI.
Server PC
| CPU | Up to 2 cameras are connected at the same time. Core i7-9700 3.00GHz 1P/8core or later Up to 4 cameras are connected at the same time. Intel® Xeon® Gold 6226R processor (2.9GHz, 16 core, 22MB, 2933MHz) or later Up to 8 cameras are connected at the same time. [Dual CPU] Intel® Xeon® Gold 6226R processor (2.9GHz, 16 core, 22MB, 2933MHz) or later |
|---|---|
| Memory | 16 GB or above |
| OS | Windows Server 2022 Windows Server 2016 Windows Server 2019 Windows 10 64bit Windows 11 64bit |
| NVIDIA GPU | Before choose PC with GPU, please make sure following GPU architecture. One camera is connected at the same time. Pascal architecture NVIDIA GeForce GTX 1050Ti or later NVIDIA Quadro P2200 or later Turing architecture NVIDIA GeForce RTX 2060 or later NVIDIA Quadro RTX 4000 or later Ampere architecture NVIDIA RTX 3060 or later NVIDIA RTX A1000 or later GPUs with Ada Lovelace architecture (RTX4060 etc.) are not supported. * Up to two cameras are connected at the same time. * Up to four cameras are connected at the same time. * Up to eight cameras are connected at the same time. <Note> To use deep learning human detection on a GPU, you need to install the NVIDIA CUDA Toolkit. Refer to the following instruction manual to install CUDA Toolkit 11.4.1. |
- * If using a Turing architecture GPU (GeForce RTX or Quadro RTX), the OS should be Windows 10 or Windows Server 2016 / 2019.
Up to two cameras are connected at the same time.
Before choose PC with GPU, please make sure following GPU architecture.
Pascal architecture
NVIDIA GeForce GTX 1080 or later
NVIDIA Quadro P2200 or later
Turing architecture
NVIDIA GeForce RTX 2060 or later
NVIDIA Quadro RTX 4000 or later
Ampere architecture
NVIDIA RTX 3060 or later
NVIDIA RTX A2000 or later
GPUs with Ada Lovelace architecture (RTX4060 etc.) are not supported.
Up to four cameras are connected at the same time.
Before choose PC with GPU, please make sure following GPU architecture.
Pascal architecture
NVIDIA GeForce GTX 1080 or later
NVIDIA Quadro P4000 or later
Turing architecture
NVIDIA GeForce RTX 2060 or later
NVIDIA Quadro RTX 4000 or later
Ampere architecture
NVIDIA RTX 3060 or later
NVIDIA RTX A2000 or later
GPUs with Ada Lovelace architecture (RTX4060 etc.) are not supported.
Up to eight cameras are connected at the same time.
* Two of the following identical GPUs are required when connecting five or more cameras.
Before choose PC with GPU, please make sure following GPU architecture.
Pascal architecthre
NVIDIA GeForce GTX 1080 or later
NVIDIA Quadro P400 architecthre
NVIDIA GeForce RTX 2060 or later
NVIDIA Quadro RTX 5000 or later
Ampere architecthre
NVIDIA RTX 3060 or later
NVIDIA RTX A2000 or later
GPUs with Ada Lovelace architecture (RTX4060 etc.) are not supported.
Client PC
| CPU | Core i5-2520M 2.50GHz or above |
|---|---|
| Memory | 4 GB or above |
| Resolution | 1920 x 1080 or above |
| Web browser | Google Chrome |
About the network
The server PC, client PC, and remote camera must be on the same network, and each must have a fixed local IP address
Server Configuration
This software can operate with a single server configuration, but the number of remote cameras that can be controlled simultaneously can be expanded by configuring the software with multiple servers.
Up to 4 PTZ cameras can be controlled per server.
