Wide Dynamic Face/Finger Recognition Device- AI FACE 3000

  • Visible Light Facial Recognition.
  • Anti-spoofing algorithm against print attack(laser, color, and B/W
    photos), videos attack, and 3D mask attack.
  • Multiple Verification: Face /Finger/ Card / Password.
  • Card modules:125KHz ID card(EM)
  • 3000 face templates capacity Support Full Access Control.
  • Communication TCP/IP/Wi-Fi. High
    Resolution Optical Sensor(600 DPI).
    Built-in IO output or Wiegand output
    to communicate with the third-party
    turnstile

10,620.00

Guaranteed Safe Checkout

Features & Compatibility

  • DescriptionĀ : Wide Dynamic Face/Finger Recognition Device
  • Model NoĀ : AI FACE 3000
  • Storage Capacity
    FACE
    Finger
    Card Proximity
    Password
    Time Log
    Management Log
    Photo(User+Log)

    Full Access Control
    Wiegand In/Out
    Time Zone
    Exit Switch
    Access Control
    Manual Bell
    Door Sensor
    NTP Server
    Duress Finger
    Tamper Alarm
    Bell
    Time Period
    AntiPass Back

    System
    CPU
    RAM
    Flash
    Verification Mode
    Fingerprint sensor
    FAR
    FRR
    Identify Speed
    Face recognition Angle
    Basic technology
    Simultaneously Face identifiable
    number of people
    Camera
    Distance of recognition

     

     

     

    Communication
    LAN
    WiFi
    Push Data
    Cloud
    USB

    Audio Visual
    Display
    Voice output
    Touch screen
    Language

    Environment
    Working voltage
    Working temperature
    Working humidity(RH)
    Card Reader
    Card Type
    Controller

    Compatible Software & SDK
    ONtime Attendance
    SDK
    Push Technology
    Integration
    Platform Support

     

    3000
    3000
    3000
    3000
    300000
    3000
    10000

    26/34
    Yes
    Yes
    NC, NO, COM
    Yes
    Yes
    Yes
    Duress Finger for Emergency situation
    Yes
    NC, NO, Com
    Yes
    Yes

     

    SSD222D
    Built-in 128MB DDR3
    228MB SPI NAND
    1:1 & 1:N
    600 DPI
    <=0.0001%
    <=1%
    Face detection: < 0.3s (It can detect 3 faces simultaneously)
    Face recognition: < 0.6s (Every face)
    Finger recognition:<1s
    Left and rightļ¼šā‰¤30Ā° / High and lowļ¼šā‰¤30Ā°
    Deep learning, a lightweight version of the algorithm that does not use
    the NNIE neural network hardware engine
    3
    Color cameraļ¼š1 millionļ¼ˆ1280*720ļ¼‰ pixels
    Infrared cameraļ¼š1 millionļ¼ˆ1280*720ļ¼‰ pixels
    Field angleļ¼š57.2Ā°ļ¼ˆDļ¼‰
    0.5 ā€“1.3M

     

    10/100 Mbps Ethernet Port
    2.4 GHz
    Yes
    P2P Cloud
    USB device (Firmware burning, test channel)

     

    3.5ā€³(480*320)
    Support
    Support
    English

    DC 12V 2.0A
    -100C~ +600C
    20% ~ 80%
    Yes
    Proximity Readers
    Compatible with Multi Door Controllers via Weigand

     

    Windows and Web Attendance
    SDK for Windows and Web
    Centralized Attendance Management System (Public/Static IP)
    Support Third Party Payroll/HRMS/ERP and other Applications
    Time & Attendance, Canteen management, School Attendance,
    Product on Management, Gym & clubs

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