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IVS-F7500-T-S2-GU2

Dahua Face Recognition Intelligent Server

> Adopts advanced face deep learning algorithms and gives full play to GPU parallel computing. With its algorithms, the device has enhanced recognition capabilities and performs exceptionally well, raising the bar in the industry.

> Performs searching by image in tens of millions face feature.

> Arms the blocklist database which has millions of pieces of face data.

> A type of rack mount server with multiple built-in slots and modular replacement that assist with changing the hardware.

> The system has cluster deployment and supports enhancing the performance of clusters when servers are added based on the video cloud distributed architecture.

> Supports algorithm storehouse.


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  • System

    Main Processor

    Two 16 C/32 T X86 processors, 2.1 GHz

    GPU

    One NVIDIA TESLA T4 GPU

    Operating System

    CentOS Linux release 7.4.1708 (Core)

    Memory

    Eight 16 GB DDR4 memory modules with up to 24 slots

    Disk

    Five 3.5"4 TB HDD which can be expanded to maximum 32 TB (each HDD is 4T) with up to 8 slots.
    7.2K RPM SATA 6 Gbps 512n 3.5"

    Face Analytics

    Face Detection

    Detects and analyzes face image streams by gender, age, expression, glasses, mustache, face mask, opened and closed eyes, and opened and closed mouths.

    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.

    Management of Registered Database

    Manage and use multiple types of databases such as the blocklist database, allowlist 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, date of birth and ID card number.

    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.;Up to 75 times/s (only in the case of working with video cloud platform, and exclusive use of hardware resources of single server)

    Cluster

    Supports clusters (when it is set to work with the video cloud platform)

    Image Stream Analysis Capability

    Up to 200 face images/s

    Blocklist/Allowlist Database Arm

    When a single server perform arming with CPU hardware, it supports blocklist/allowlist database with 2 million data and can real-time alarm of 100 face features/s
    (The total number of databases in the video cloud systemâ‰Ī200, the total number of membersâ‰Ī2 million, the deployment threshold â‰Ĩ80%, and exclusive use of hardware resources)

    Search by Image

    Up to 100 million face data (30 million in registered database and 70 million in snapshot database by default)
    Search by image and respond in seconds (only in the case of working with video cloud platform, and exclusive use of hardware resources of single server)

    Port

    Network Port

    2 × 10000/1000 MB self-adaptive network ports

    USB

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

    VGA

    2 × VGA ports

    Others

    1 × RJ-45 management network port

    General

    Power Supply

    100–127 V/200–240 V, 50/60 Hz, 10 A/5 A

    Power Redundancy

    Dual

    Power Consumption

    â‰Ī 800 W

    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

    31.57 kg (69.60 lb)

    Net Weight

    21.77 kg (48.00 lb)

    Product Dimensions

    87.1 mm × 447.6 mm × 735.0 mm (3.43" × 17.62" × 28.94") (H × W × D)

    Packaging Dimensions

    273.0 mm × 754.0 mm × 1069.0 mm (10.74" × 29.68" × 42.09") (H × W × D)

    Installation

    Standard 19'' rack installation with guide rail

    BTU

    â‰Ī2729.7 Btu/h