Home » DAHUA IVS-F7500-2T-S2-GU2 Face Recognition Intelligent Server
DAHUA IVS-F7500-2T-S2-GU2 Face Recognition Intelligent Server
DAHUA IVS-F7500-2T-S2-GU2 Face Recognition Intelligent Server
DAHUA

DAHUA IVS-F7500-2T-S2-GU2 Face Recognition Intelligent Server

In stock
SKU: IVS-F7500-2T-S2-GU2
$1,000,000.00
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Quality Certifications:

 

IVS-F7500-2T-S2-GU2

Face Recognition Intelligent Server

> Adopt advanced face deep learning algorithm, and give full play to GPU parallel computing processing capability. Algorithm recognition effect and practical performance have reached advanced level in the industry.
> Adopt advanced clustering algorithm, so clustering is more accurate.
> Arm the restricted list database which has millions of face data.
> Adopt multiple slot design.
> Support modular replacement, which better meets requirements of changing the hardware.
> Support cloud deployment.




Product Data

 

System

Main processor

Two Intel Xeon Gold 5120

GPU

Two NVIDIA TESLA T4 GPU

Operating system

CentOS Linux release 7.4.1708 (Core)

Memory

Sixteen 16GB DDR4 memory, maximum 24 slots.

HDD

Five 3.5”4T disks which can be extended to maximum 32T (each disk is 4T), and maximum 8 slots.
7.2K RPM SATA 6Gbps 512n 3.5”

AI for Face Analysis

Face Detection

Detect and analyze face image stream, including gender, age, expression, glasses, mustache, mouth mask, open and closed eyes. Support jpg, png, bmp, jfif, dib, tif, jpe, pbm, ppm, and pgm pictures.

Face Modeling

Extract face image features.

Face Arming

Compare the face snapshot with designated face database in real-time, and get information about the first person that exceeds arm thresholds.

Search History Alarm Records

Search historical deployment alarm records.

Registered Database Management

Distinguish restricted list database, trusted list database, static database and other databases.
Add, delete and modify the databases.
Add, delete and modify the database members.

Search Registered Database

Search registered database member by name, gender, birthday and identity card number.

Search by Image in Registered Database

Select one face image manually, compare with registered database, thus find the qualified personnel, and arrange them according to the similarity.

Search Snapshot Database

Search historical person passing by records in the snapshot database.

Search by Image in Snapshot Database

Select one face image manually, filter by time and channel, compare with historical data, thus find the qualified personnel, and arrange them according to the similarity.

1V1

Support 1V1 face comparison, and return similarity result.

Face Clustering

Support face clustering and archives, and work with Video Cloud Platform, so multiple faces of one person cluster as one archive; identity verification and other face related applications.

Cluster

Support cluster (in case of deployment of video cloud child node).

Port

Network

Two 10000/1000 MB self-adaptive network ports

USB

2 front USB3.0 ports and 3 rear USB3.0 ports

VGA

2 VGA ports

Other Ports

1 RJ-45 management network port

General

Power Supply

100–127V/200–240V, 50/60Hz, 10A/5A

Power Redundancy

Dual power redundancy

Power Consumption

≤ 800W

Operating Temperature

10°C to 35°C (50°F to 95°F )

Operating Humidity

35%–80% RH, maximum relative humidity is 90%RH (40°C ).

Storage Temperature

-40°C to 60°C (-40°F to 140°F)

Storage Humidity

20%–93%RH

Gross Weight

31.89 kg (70.31 lbs)

Net Weight

22.09 kg (48.70 lbs)

Dimensions

87.00mm × 447.60 mm × 735.60 mm

(3.43" × 17.62" × 28.96")

Package Dimensions

273.00mm × 754.00mm × 1069.00mm

(10.75" × 29.68" × 42.09")

Installation

Standard 19” rack installation with guide rail.

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