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IVS-MC8000-2E-TU1 EoL-L

Dahua Micro Center Intelligent Server

> One-click deployment and can be used immediately at startup.
> Brand-new UI design, and the server supports storage, analysis and detection.
> B/S architecture with SDK support.
> Linux OS, simplified architecture and high performance.
> Analyzes moving targets (including face attributes) for 120-channel RTSP videos, and 100-channel 1080p Dahua videos and ONVIF videos in real time. It can also analyze 200 face images per second. (None of these functions are performed at the same time.)
> Supports configuration of modifying channel streams of video stream, static face database, armed face database and storage period.
> Up to 30 million pieces of features can be stored in the server.
> Perform feature comparison in up to 400 million times per second.
> Up to 2 million pieces of data can be stored in the arming database (Allowlist is not supported).
> Up to 30 million pieces of data can be stored in the all databases.
> Search by image is available for the snapshot and arming databases and can be performed in seconds.
> Smart 1U 19 inch standard case.
> Stable running with dual power supply.


  • Thông số kỹ thuật
  • Phụ kiện
  • Tải về
  • System

    Main Processor

    8-core ARM processor, 2.3 GHz

    GPU

    Two AIX3200 cards

    Operating System

    CentOS Linux release 7.4.1708 (AltArch)

    Memory

    Two 32 GB DDR4 memory modules

    Disk

    Four 3.5" 4 TB HDDs and two 128 GB SSDs

    Comprehensive Analytics Capabilities

    Analytics Capabilities

    Analyzes moving targets (including face attributes) for 120-channel RTSP videos, and 100-channel 1080p Dahua videos and ONVIF videos in real time. It can also analyze 200 face images per second. (None of these functions are performed at the same time.)

    Comprehensive Data Comparison Capabilities

    Search by Image

    Responds to search by image in snapshot database (up to 30 million data) and arming database (up to 2 million data) in seconds

    Face Analytics

    Face Detection

    Detects and analyzes face image streams by gender, age, expression, glasses, bread, face mask

    Face Modeling

    Supports extracting attributes from face images.

    Face Arm

    Compares the face snapshot against a designated face database to get information on the first person that exceeds the arming threshold.

    History Alarm Records Query

    Quickly search for history records on arming alarms to review information on alarms that were previously triggered and the search results can be filtered by time and channel.

    Management of Registered Database

    Manage and use multiple types of databases such as the arming database and static database. You can add, delete and modify these databases and their members.

    Search in Registered Database

    Quickly search for registered database members by name, gender, credential type, date of birth, ID card number and region.

    Search by Image in Registered Database

    Images can be used to search for information. The results are compared with data on humans in the registered database, and the matches are displayed based on their similarity level.

    Search in Snapshot Database

    Conveniently search for history records of passing persons in the snapshot database.

    Search by Image in Snapshot Database

    Images can be used to search for information, and the search results can be filtered by time and channel. The results are compared with data on humans in the snapshot database, and the matches are displayed based on their similarity level.

    1V1

    Supports 1V1 face comparison, and returns similarity result

    Face Analytics Performance

    Image Stream Analysis Capability

    Up to 200 face images/s

    Blocklist/Allowlist Database Arm

    Up to 2 million pieces of data can be stored in the arming database

    Search by Image

    Responds to search by image in snapshot database (up to 30 million data) and arming database (up to 2 million data) in seconds

    1V1

    80 times/s

    Vehicle Analytics

    License Plate Color Recognition

    White, black, yellow, blue, red and green

    Vehicle Color Recognition

    Recognizes a variety of colors such as white, orange, pink, black, red, yellow, gray, blue, green, silver, brown and purple

    Vehicle Type Recognition

    Supports large bus, heavy truck, medium truck, sedan, van, truck, medium bus, SUV and pickup

    Vehicle Attributes Recognition

    Vehicle front: number of ornaments, pendant and inspection sticker, sunshields and cards
    Vehicle body: sunroof

    Safe Driving Behavior Detection

    For drivers, it detects when they are not wearing their seatbelt, playing with phone while driving.
    For co-drivers, it detects when they are not wearing their seatbelt.

    Target Detection

    Supports vehicle recognition of incomplete snapshot

    Vehicle Analytics Performance

    Image Stream Analysis Capability

    Up to 90 images/s in 1080p (one vehicle target in each image)

    Vehicle Brand/Logo Recognition

    Vehicle front: 140 types
    Vehicle back: 60 types

    Search by Vehicle Picture

    Supports uploading a vehicle image, and setting the search conditions such as time, channel, similarity threshold and vehicle attributes (color, brand, type, decorations, annual inspection label, pendants and sunshield). The results can be compared with data on motor vehicles in the database, and the matches are displayed based on their similarity level.

    Vehicle Search

    Search by image in snapshot database (up to 30 million data) and respond in seconds

    Metadata Analytic

    Target Classification

    Classify targets including human, motor vehicles and non-motor vehicles. Generate intelligent structured analysis on the live video and then extract structured information on the moving targets.

    Non-motor Vehicle Detection

    Detects non-motor vehicles by a wide range of attributes such as type and color. It can also detect the attributes of drivers such as with passenger, helmet, helmet color, trunk and basket.

    Pedestrian Detection

    Detects pedestrians by a wide range of attributes such as gender, age, hair style, the color of their top and bottom clothes, direction, whether they are wearing a hat and items belonging to them such as umbrellas and backpacks.

    Real-time Display

    Supports real-time display of analysis results of human and non-motor vehicle with tracking box

    Search by Attribute

    Search for human by gender, age, hair style, the color of their top and bottom clothes, direction, whether they are wearing a hat and items belonging to them such as umbrellas and backpacks.
    Search for non-motor vehicles by type and color. It can also detect the attributes of drivers such as with passenger, helmet, helmet color, trunk and basket.

    Search by Image

    Images can be used to search for information, and the search results can be filtered by time and channel. The results are compared with data on humans, motor vehicles and non-motor vehicles in the database, and the matches are displayed based on their similarity level.

    Picture Storage

    Supports local storage

    Metadata Analytics Performance

    Intelligent Video Stream

    Supports real-time display of structured intelligent video streaming

    Metadata Analytics Performance

    Analyzes moving targets (including face attributes) for 120-channel RTSP videos, and 100-channel 1080p Dahua videos and ONVIF videos in real time. It can also analyze 200 face thumbnails per second. (None of these functions are performed at the same time.)

    Search by Image Performance

    Search by image in snapshot database (up to 30 million data) and respond in seconds

    Port

    Network Port

    4 × RJ-45 Gigabit electric ports and 1 × RJ-45 Gigabit management port

    USB

    2 × front USB 3.0 ports and 2 × rear USB 3.0 ports

    VGA

    1 × VGA port

    PCIe

    2 × standard PCIe card slots

    M.2

    3 × built-in M.2 ports

    Others

    14 × custom cards

    General

    Power Supply

    100–127 V/200–240 V, 50 Hz/60 Hz, 7.0 A/3.5 A

    Power Redundancy

    Dual

    Power Consumption

    ≤550 W

    Operating Temperature

    +10 °C to +35°C (+50 °F to +95 °F )

    Operating Humidity

    10%–80% (RH), maximum relative humidity is 90% (RH) (40 °C).

    Storage Temperature

    –40 °C to +60 °C (–40 °F to +140 °F)

    Storage Humidity

    5%–95% (RH) (33 °C)

    Gross Weight

    <21.5 kg (47.40 lb)

    Net Weight

    <15 kg (33.07 lb)

    Product Dimensions

    43.5 mm × 438.5 mm × 658.5 mm
    (1.71"" × 17.26"" × 25.93"") (H × W × D)

    Packaging Dimensions

    228 mm × 595 mm × 865 mm
    (8.97"" × 23.43"" × 34.06"") (H × W × D)

    Installation

    Standard 19'' rack installation with guide rail

    MTBF

    10,000 h