Intelligent Fusion Server

  • Integrates analysis, storage and application as one, and applicable to various scenarios
  • Concurrent analysis of Max. 80 channels of 1080P network cameras for a single device
  • Face picture analysis and processing of Max. 256 pieces per second for a single device
  • Provides Max. 80 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-IX2002-A7U/LX

Specification

  • Face Analysis
  • Analysis TypeSupports analysis, comparison and classification of faces in pictures, real-time videos or recordings.
  • Data TypePicture, video
  • 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 Comparison80 channels (2 MP) 48 channels (2 MP to 5 MP) 32 channels (5 MP to 8 MP)
  • Face Picture Analysis and Comparison256 pieces/second Format: JPEG(JPG), TIF, BMP, PNG, partial GIF(static diagram)
  • Max. Number of Arming Lists3 million
  • Max. Number of List Libraries128
  • 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 Videos64 channels (2 MP) 48 channels (2 MP to 5 MP) 32 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 Pictures160 pieces per second
  • Video Frame Rate Requirement12 to 30 frames per second (25 frames per second recommended)
  • 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 44°
  • 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 24°(vertical), modelling for both the front and rear
  • 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
  • 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 Data20 million (Hot data) + 60 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
  • CPUIntel Xeon Gold 5218R × 1
  • Memory96 GB
  • GPU CardKT2 card × 2
  • Rated Power Consumption1600 W
  • Max. Power Consumption750 W
  • Network InterfaceGigabit Ethernet self-adaptive interface × 4
  • External InterfacesUSB 2.0 × 2 + USB 3.0 × 2 + VGA × 2
  • 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)
  • Chassis Height87 mm (3.4 inch)
  • HDD Specification 240 GB M.2 × 2(RAID1) + 480 GB SSD × 3 + 12 TB SATA × 5
  • PSU Hot-plugged efficient 1+1 redundant power module
  • Physical and Environmental Parameters
  • Storage and Transportation Temperature -40 °C to 70 °C (-40 °F to 158 °F)
  • Working Temperature5 °C to 35 °C (41 °F to 95 °F)
  • Working Humidity8% to 90% (without condensation)
  • Net Weight (without package)21.9 kg (48.28 lb.)
  • Gross Weight (with package)33.76 kg (74.42 lb.)

Specification

Specification
Face Analysis
  • Analysis TypeSupports analysis, comparison and classification of faces in pictures, real-time videos or recordings.
  • Data TypePicture, video
  • 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 Comparison80 channels (2 MP) 48 channels (2 MP to 5 MP) 32 channels (5 MP to 8 MP)
  • Face Picture Analysis and Comparison256 pieces/second Format: JPEG(JPG), TIF, BMP, PNG, partial GIF(static diagram)
  • Max. Number of Arming Lists3 million
  • Max. Number of List Libraries128
  • 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 Videos64 channels (2 MP) 48 channels (2 MP to 5 MP) 32 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 Pictures160 pieces per second
  • Video Frame Rate Requirement12 to 30 frames per second (25 frames per second recommended)
  • 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 44°
  • 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 24°(vertical), modelling for both the front and rear
  • 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
  • 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 Data20 million (Hot data) + 60 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
  • CPUIntel Xeon Gold 5218R × 1
  • Memory96 GB
  • GPU CardKT2 card × 2
  • Rated Power Consumption1600 W
  • Max. Power Consumption750 W
  • Network InterfaceGigabit Ethernet self-adaptive interface × 4
  • External InterfacesUSB 2.0 × 2 + USB 3.0 × 2 + VGA × 2
  • 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)
  • Chassis Height87 mm (3.4 inch)
  • HDD Specification 240 GB M.2 × 2(RAID1) + 480 GB SSD × 3 + 12 TB SATA × 5
  • PSU Hot-plugged efficient 1+1 redundant power module
Physical and Environmental Parameters
  • Storage and Transportation Temperature -40 °C to 70 °C (-40 °F to 158 °F)
  • Working Temperature5 °C to 35 °C (41 °F to 95 °F)
  • Working Humidity8% to 90% (without condensation)
  • Net Weight (without package)21.9 kg (48.28 lb.)
  • Gross Weight (with package)33.76 kg (74.42 lb.)

Resources

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