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Intelligent Fusion Server

Integrates analysis, storage and application as one, and applicable to various scenarios
Concurrent analysis of Max. 40 channels of 1080P network cameras for a single device
Face picture analysis and processing of Max. 128 pieces per second for a single device
Provides Max. 40 million pieces of pictures and data storage for a single device
Performs various functions, including list alarm, personnel archive, personnel trace analysis, search by human body picture, and vehicle arming, etc. via web application interface
Equipped with professional GPU accelerator and integrates deep learning-based intelligent algorithms
Supports cluster deployment to deal with balanced load, dynamic adding and failover
Supports adding Max. 5 devices under cluster mode.

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Available models:

DS-IX2001-A7U/LX

Specification
Resources
Accessories

Face Analysis
Analysis TypeSupports analysis, comparison and classification of faces in pictures, real-time videos or recordings.
Facial Video FormatResolution: 720 P to 8 MP Real-time video stream: H.264, Hikvision H.265 Local recording: H.264, Hikvision H.265
Video Frame Rate Requirement12 to 30 frames per second (25 frames per second recommended)
Face Picture FormatJPEG(JPG), TIF, BMP, PNG, partial GIF(static diagram)
Face Picture RequirementFace analysis target: Resolution: 48 × 48 to 8000 × 8000 (64 MP) Size: ≤ 8 MB Pupil distance: 20 to 300 pixels recommended Face angle deviation: Face analysis: ≤ 35° (vertical); ≤55° (horizontal) Face picture of list library: ≤ 25° (vertical); ≤30° (horizontal)
Face AttributeGender, age, expression, smile, as well as behaviors of wearing a mask, or glasses
Face Video Analysis and Comparison40 channels (2 MP) 24 channels (2 MP to 5 MP) 16 channels (5 MP to 8 MP)
Face Picture Analysis and Comparison128 pieces/second Format: JPEG(JPG), TIF, BMP, PNG, partial GIF(static diagram)
Max. Number of Arming Lists3 million
Max. Number of List Libraries128
Data TypePicture, video
Concurrent Performance-1 V 1 Comparison30 pairs per second
Blocklist Alarm-Response Time1 s

Video Structuralization
Analysis TypeSupports analysis and modelling for human bodies or vehicles in pictures, real-time videos or recordings.
Data TypePicture, video
Analysis of Human Body and Vehicle Videos40 channels (2 MP) 24 channels (2 MP to 5 MP) 16 channels (5 MP to 8 MP)
Video FormatResolution: 720 P to 8 MP Real-time video stream: H.264, Hikvision H.265
Analysis of Human Body and Vehicle Pictures80 pieces per second
Video Frame Rate Requirement12 to 30 frames per second (25 frames per second recommended)
Imported Video AnalysisSingle video size ≤ 10 GB, and total video size ≤ 100 GB Max. 40 times accelerated analysis speed Format: TS, DaHua es, SVAC, MBF, PS, MP4, AVI, ASF, HIK es, Tian Di es
Picture FormatJPEG(JPG), TIF, BMP, PNG, partial GIF(static diagram)
Human Body Picture RequirementResolution: 256 × 256 to 8000 × 8000 (64 MP) Human body width: 70 to 300 pixels recommended Completeness: the blocking area should be less than 30 percent of the target Angle deviation: the depression angle should be no greater than 45°
Vehicle Picture RequirementResolution: 256 × 256 to 8000 × 8000 (64 MP) Vehicle width: 100 to 300 pixels recommended License plate width: 80 to 120 pixels recommended Angle deviation: less than 30°(horizontal) and 25°(vertical), modelling for both the front and rear
Human Body AttributeGender, age, hair style, clothes type, clothes color, as well as the following behaviors: wearing a hat, a mask, or glasses; carrying a bag or luggage; driving a non-motor vehicle (the number of passengers, vehicle type, vehicle size, driving direction, driving speed)
Vehicle AttributeVehicle color, vehicle type, vehicle main brand, license plate number

Data Storage
Picture and Structured Data10 million (Hot data) + 30 million (Cold data)
Search by Face Picture-Response Time2 s
Search by Human Body Picture-Response Time2 s
Search by Vehicle Picture-Response Time2 s

Web Application
AlarmBlocklist, allowlist, high frequency, low frequency, and license plate
1V1 ComparisonSupports rapid and accurate comparison of 2 face pictures
Smart SearchList library search, capture library search, alarming search
Number of License Plate Arming Lists≤ 1000
Personnel ArchiveSupport
Device Operation and MaintenanceSupport

Product Performance
Algorithm TypeFaces, human bodies or vehicles
Cluster Capacity≤ 5

Hardware Specifications
Memory80 GB
CPUIntel Xeon Gold 4216 × 1
GPU CardKT2 card ×1
Rated Power Consumption750 W
Max. Power Consumption445 W
Network InterfaceGigabit Ethernet self-adaptive interface × 4
External InterfacesUSB 2.0 × 2 + USB 3.0 × 2 + VGA × 2
Chassis Height87 mm (3.4 inch)
HDD Specification 240 GB M.2 × 2(RAID1) + 480 GB SSD × 3 + 12 TB SATA × 3
PSU Hot-plugged efficient 1+1 redundant power module
Device Dimensions715.5 mm × 482 mm × 86.8 mm (28.2 inch × 19.0 inch × 3.4 inch)
Package Dimensions965 mm × 670 mm × 320 mm (38.0 inch × 29.4 inch × 12.6 inch)

Physical and Environmental Parameters
Storage and Transportation Temperature -40 °C to 70 °C (-40 °F to 158 °F)
Net Weight (without package)20.20 kg (44.53 lb.)
Gross Weight (with package)32.00 kg (70.56 lb.)
Working Temperature5 °C to 35 °C (41 °F to 95 °F)
Working Humidity8% to 90% (without condensation)

Face Analysis

Analysis Type

Supports analysis, comparison and classification of faces in pictures, real-time videos or recordings.

Facial Video Format

Resolution: 720 P to 8 MP Real-time video stream: H.264, Hikvision H.265 Local recording: H.264, Hikvision H.265

Video Frame Rate Requirement

12 to 30 frames per second (25 frames per second recommended)

Face Picture Format

JPEG(JPG), TIF, BMP, PNG, partial GIF(static diagram)

Face Picture Requirement

Face analysis target: Resolution: 48 × 48 to 8000 × 8000 (64 MP) Size: ≤ 8 MB Pupil distance: 20 to 300 pixels recommended Face angle deviation: Face analysis: ≤ 35° (vertical); ≤55° (horizontal) Face picture of list library: ≤ 25° (vertical); ≤30° (horizontal)

Face Attribute

Gender, age, expression, smile, as well as behaviors of wearing a mask, or glasses

Face Video Analysis and Comparison

40 channels (2 MP) 24 channels (2 MP to 5 MP) 16 channels (5 MP to 8 MP)

Face Picture Analysis and Comparison

128 pieces/second Format: JPEG(JPG), TIF, BMP, PNG, partial GIF(static diagram)

Max. Number of Arming Lists

3 million

Max. Number of List Libraries

128

Data Type

Picture, video

Concurrent Performance-1 V 1 Comparison

30 pairs per second

Blocklist Alarm-Response Time

1 s

Video Structuralization

Analysis Type

Supports analysis and modelling for human bodies or vehicles in pictures, real-time videos or recordings.

Data Type

Picture, video

Analysis of Human Body and Vehicle Videos

40 channels (2 MP) 24 channels (2 MP to 5 MP) 16 channels (5 MP to 8 MP)

Video Format

Resolution: 720 P to 8 MP Real-time video stream: H.264, Hikvision H.265

Analysis of Human Body and Vehicle Pictures

80 pieces per second

Video Frame Rate Requirement

12 to 30 frames per second (25 frames per second recommended)

Imported Video Analysis

Single video size ≤ 10 GB, and total video size ≤ 100 GB Max. 40 times accelerated analysis speed Format: TS, DaHua es, SVAC, MBF, PS, MP4, AVI, ASF, HIK es, Tian Di es

Picture Format

JPEG(JPG), TIF, BMP, PNG, partial GIF(static diagram)

Human Body Picture Requirement

Resolution: 256 × 256 to 8000 × 8000 (64 MP) Human body width: 70 to 300 pixels recommended Completeness: the blocking area should be less than 30 percent of the target Angle deviation: the depression angle should be no greater than 45°

Vehicle Picture Requirement

Resolution: 256 × 256 to 8000 × 8000 (64 MP) Vehicle width: 100 to 300 pixels recommended License plate width: 80 to 120 pixels recommended Angle deviation: less than 30°(horizontal) and 25°(vertical), modelling for both the front and rear

Human Body Attribute

Gender, age, hair style, clothes type, clothes color, as well as the following behaviors: wearing a hat, a mask, or glasses; carrying a bag or luggage; driving a non-motor vehicle (the number of passengers, vehicle type, vehicle size, driving direction, driving speed)

Vehicle Attribute

Vehicle color, vehicle type, vehicle main brand, license plate number

Data Storage

Picture and Structured Data

10 million (Hot data) + 30 million (Cold data)

Search by Face Picture-Response Time

2 s

Search by Human Body Picture-Response Time

2 s

Search by Vehicle Picture-Response Time

2 s

Web Application

Alarm

Blocklist, allowlist, high frequency, low frequency, and license plate

1V1 Comparison

Supports rapid and accurate comparison of 2 face pictures

Smart Search

List library search, capture library search, alarming search

Number of License Plate Arming Lists

≤ 1000

Personnel Archive

Support

Device Operation and Maintenance

Support

Product Performance

Algorithm Type

Faces, human bodies or vehicles

Cluster Capacity

≤ 5

Hardware Specifications

Memory

80 GB

CPU

Intel Xeon Gold 4216 × 1

GPU Card

KT2 card ×1

Rated Power Consumption

750 W

Max. Power Consumption

445 W

Network Interface

Gigabit Ethernet self-adaptive interface × 4

External Interfaces

USB 2.0 × 2 + USB 3.0 × 2 + VGA × 2

Chassis Height

87 mm (3.4 inch)

HDD Specification

240 GB M.2 × 2(RAID1) + 480 GB SSD × 3 + 12 TB SATA × 3

PSU

Hot-plugged efficient 1+1 redundant power module

Device Dimensions

715.5 mm × 482 mm × 86.8 mm (28.2 inch × 19.0 inch × 3.4 inch)

Package Dimensions

965 mm × 670 mm × 320 mm (38.0 inch × 29.4 inch × 12.6 inch)

Physical and Environmental Parameters

Storage and Transportation Temperature

-40 °C to 70 °C (-40 °F to 158 °F)

Net Weight (without package)

20.20 kg (44.53 lb.)

Gross Weight (with package)

32.00 kg (70.56 lb.)

Working Temperature

5 °C to 35 °C (41 °F to 95 °F)

Working Humidity

8% to 90% (without condensation)

Face Analysis

Analysis TypeSupports analysis, comparison and classification of faces in pictures, real-time videos or recordings.
Facial Video FormatResolution: 720 P to 8 MP Real-time video stream: H.264, Hikvision H.265 Local recording: H.264, Hikvision H.265
Video Frame Rate Requirement12 to 30 frames per second (25 frames per second recommended)
Face Picture FormatJPEG(JPG), TIF, BMP, PNG, partial GIF(static diagram)
Face Picture RequirementFace analysis target: Resolution: 48 × 48 to 8000 × 8000 (64 MP) Size: ≤ 8 MB Pupil distance: 20 to 300 pixels recommended Face angle deviation: Face analysis: ≤ 35° (vertical); ≤55° (horizontal) Face picture of list library: ≤ 25° (vertical); ≤30° (horizontal)
Face AttributeGender, age, expression, smile, as well as behaviors of wearing a mask, or glasses
Face Video Analysis and Comparison40 channels (2 MP) 24 channels (2 MP to 5 MP) 16 channels (5 MP to 8 MP)
Face Picture Analysis and Comparison128 pieces/second Format: JPEG(JPG), TIF, BMP, PNG, partial GIF(static diagram)
Max. Number of Arming Lists3 million
Max. Number of List Libraries128
Data TypePicture, video
Concurrent Performance-1 V 1 Comparison30 pairs per second
Blocklist Alarm-Response Time1 s

Video Structuralization

Analysis TypeSupports analysis and modelling for human bodies or vehicles in pictures, real-time videos or recordings.
Data TypePicture, video
Analysis of Human Body and Vehicle Videos40 channels (2 MP) 24 channels (2 MP to 5 MP) 16 channels (5 MP to 8 MP)
Video FormatResolution: 720 P to 8 MP Real-time video stream: H.264, Hikvision H.265
Analysis of Human Body and Vehicle Pictures80 pieces per second
Video Frame Rate Requirement12 to 30 frames per second (25 frames per second recommended)
Imported Video AnalysisSingle video size ≤ 10 GB, and total video size ≤ 100 GB Max. 40 times accelerated analysis speed Format: TS, DaHua es, SVAC, MBF, PS, MP4, AVI, ASF, HIK es, Tian Di es
Picture FormatJPEG(JPG), TIF, BMP, PNG, partial GIF(static diagram)
Human Body Picture RequirementResolution: 256 × 256 to 8000 × 8000 (64 MP) Human body width: 70 to 300 pixels recommended Completeness: the blocking area should be less than 30 percent of the target Angle deviation: the depression angle should be no greater than 45°
Vehicle Picture RequirementResolution: 256 × 256 to 8000 × 8000 (64 MP) Vehicle width: 100 to 300 pixels recommended License plate width: 80 to 120 pixels recommended Angle deviation: less than 30°(horizontal) and 25°(vertical), modelling for both the front and rear
Human Body AttributeGender, age, hair style, clothes type, clothes color, as well as the following behaviors: wearing a hat, a mask, or glasses; carrying a bag or luggage; driving a non-motor vehicle (the number of passengers, vehicle type, vehicle size, driving direction, driving speed)
Vehicle AttributeVehicle color, vehicle type, vehicle main brand, license plate number