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IVS-VS8000-xA-GU2

Dahua 2U Structuring Intelligent Server

> ASIC intelligent computing card is researched and developed by Dahua, with low power consumption and high performance.
> Adopt advanced structured deep learning algorithm, and reach the world-class target detection rate and attribute recognition rate.
> Support dynamic loading and chip-level separation of algorithm to enhance system robustness.
> Adopt high-density multi-slot design to support maximum 6 intelligent cards, provide powerful computing and analysis capability, and reduce single-channel analysis cost.
> Based on video cloud architecture, support upgrading and maintenance at module level, and thus reduce maintenance cost.
> Deploy on the cloud.


  • Specifications
  • Accessories
  • Download
  • System

    Main processor

    2 Intel Xeon Silver 4114T

    Operating system

    CentOS Linux release 7.4.1708 (Core)

    Intelligent card

    1 Dahua DH-AIX3000 self-researched standard half-height intelligent card

    Memory

    8 16GB DDR4 memory, maximum 24 slots.

    Disk

    4 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”

    Structuring Intelligent Analysis

    Target classification

    Classify targets, including humans, motor vehicles and non-motor vehicles. Make intelligent structured analysis on the live video, historical video (supported by platform) and the offline uploaded video files, and then abstract structured information about the moving targets

    Motor vehicle detection

    Detect vehicles by vehicle type, color, brand, model, year, plate number, and plate type. Detect sunshield, safety belt, phone call and inside decorations (pendant and tissue box).

    Non-motor vehicle detection

    Detect non-motor vehicles by driver's gender, age, hair style, wearing (hat), belongings (umbrella, backpack and handbag), top clothes, top color, and non-motor vehicle type.

    Pedestrian detection

    Detect pedestrians by gender, age, hair style, wearing (hat), belongings (umbrella, backpack and handbag), top clothes, top color, bottom clothes, and bottom color.

    Region detection

    Support detection area and exclusion area settings.

    Real-time display

    Display the analysis results in real time, and display humans, motor vehicles and non-motor vehicles in real time with tracking boxes.

    Search by attribute

    Support intelligent search of humans, motor vehicles and non-motor vehicles according to their attributes.

    Search by picture

    Select one picture manually, filter by time and channel, compare with historical data, thus find the qualified humans, motor vehicles and non-motor vehicles, and arrange them according to the similarity.

    Target comparison

    Compare 1V1 target quickly, and return target similarity in two pictures.

    Video recording task

    Make intelligent structured analysis on the historical video (supported by platform), and then abstract structured information about the moving targets. And then, search the analysis results by pictures and attributes.

    Local task

    Make intelligent structured analysis on the offline uploaded local video files, and abstract structured information about the moving targets. And then, search the analysis results by pictures and attributes.

    Deploy attributes

    Platforms

    Structuring picture storage

    Local storage or external cloud storage.

    Display tracks on the map

    Platforms

    Computing node cluster

    Support cluster and management of 2-XX structured analysis servers.

    Structuring Intelligent Analysis Attribute Dictionary

    Pedestrians

    Age: Child, adult, senior citizen
    Backpack: Yes, no
    Umbrella: Yes, no
    Handbag: Yes, no
    Top color: Black, white, gray, red, green, blue, yellow, orange, purple, pink and brown. 11 colors in total.
    Bottom color: Black, white, gray, red, green, blue, yellow, orange, purple, pink and brown. 11 colors in total.
    Top style: Short sleeves, long sleeves
    Bottom style: Shorts, pants
    Gender: Male, female
    Hat: No hat, hat, helmet
    Hair style: Short hair, long hair, ponytail, updo, head covered.

    Non-motorized vehicles

    Age: Child, adult, senior citizen
    Backpack: Yes, no
    Umbrella: Yes, no
    Handbag: Yes, no
    Top color: Black, white, gray, red, green, blue, yellow, orange, purple, pink and brown. 11 colors in total.
    Top style: Short sleeves, long sleeves
    Gender: Male, female
    Hat: No hat, hat, helmet
    Hair style: Short hair, long hair, ponytail, updo, head covered.
    Non-motor vehicle type: Two-wheeled vehicle, tricycle

    Motor vehicles

    Vehicle color: Gray, black, white, silver gray, blue, green, purple, red, orange, pink, brown and yellow. 12 colors in total.
    At least 86 logos and brands in the front can be recognized.

    At least 55 logos and brands in the rear can be recognized.

    Vehicle type: Passenger vehicle, heavy truck, medium truck, car, van, light truck, medium bus, SUV, MPV, bus, pickup and minicar
    Attributes inside the window: Pendant, tissue box, sunshield, telephone call, and safety belt.
    Number plate color: Blue, yellow, white, green and black.
    Recognize the number plates of 47 countries in the world.

    Structuring Analysis Performance

    Structuring analysis performance

    Each intelligent card can analyze moving targets in 20-channel 1080p live video or 40 pictures/second. One device supports maximum 6 intelligent cards.

    Search by picture performance

    Compare 10 million pictures in the passenger database quickly. During hot search, operator time is 4 million pictures/second, and total search time is no more than 5 s.

    Region detection quantity

    Support 1 detection region in one image, and at least 10 exclusion regions in one detection region.

    Moving target detection rate

    With normal light in the day and normal fill light at night, resolution ≥40 × 80, clear, distinguishable and no blocking:
    Detection rate of pedestrians: ≥95%;
    Detection rate of non-motor vehicles: ≥95%;
    With normal light in the day and normal fill light at night, resolution ≥120 × 120, clear, distinguishable and no blocking:
    Detection rate of motor vehicles: ≥95%.

    Recognition accuracy of pedestrians

    With normal light in the day and normal fill light at night, resolution ≥80×160, clear and distinguishable pedestrians:
    Gender accuracy: ≥90%;
    Hair style accuracy: ≥85%;
    Clothes style and color accuracy: ≥85%;
    Wearing accuracy: ≥80%;
    Belongings accuracy: ≥80%.

    Recognition accuracy of non-motor vehicles

    With normal light in the day and normal fill light at night, resolution ≥80×160, clear and distinguishable non-motor vehicles:
    Gender accuracy: ≥90%;
    Hair style accuracy: ≥90%;
    Clothes style and color accuracy: ≥90%;
    Wearing accuracy: ≥80%;
    Belongings accuracy: ≥70%;
    Non-motor vehicle type accuracy: ≥90%.

    Recognition accuracy of motor vehicles

    With normal light in the day and normal fill light at night, resolution ≥240×240, clear, distinguishable, no blocking motor vehicles whose inclined angle is no more than 25°:
    Motor vehicle type accuracy: ≥92%;
    Motor vehicle color accuracy: ≥90%;
    Motor vehicle brand accuracy: ≥85%;
    Driver and passengers’ safety belt accuracy: ≥95%;
    Driver and passengers’ phone call accuracy: ≥90%;
    With normal light in the day and normal fill light at night, resolution width ≥120, clear, distinguishable number plate:
    Number plate accuracy: ≥96%;
    Number plate color accuracy: ≥90%.

    Port

    Network port

    Two 10000/1000Mb self-adaptive network ports

    USB port

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

    VGA port

    2 VGA ports

    Other ports

    1 RJ-45 management network port

    General parameter

    Power supply mode

    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 during operation is 90% RH (40°C).

    Storage temperature

    -40°C to 60°C (-40°F to 140°F)

    Storage humidity

    20%–93%RH

    Gross weight

    35 kg (77.2 lb)

    Net weight

    27.5 kg (60.6 lb)

    Dimensions

    87.00 mm × 447.60 mm × 735.60 mm

    (3.43'' × 17.62'' × 28.96'')

    Package dimensions

    273.00 mm × 754.00 mm × 1069.00 mm

    (10.75'' × 29.68'' × 42.09'')

    Mounting

    Standard 19'' rack installation with guide rail.