SpeedFace-V5L

In Stock

The SpeedFace-V5L Series employs intelligent engineering facial recognition algorithms and cutting-edge computer vision technology.  It offers support for fingerprint, facial, and palm verification with large capacity and speedy recognition. Moreover, the SpeedFace-V5L is equipped with QR code support via Mobile APP, further enhancing the device’s security performance in all aspects. 
SpeedFace-V5L Series uses touchless recognition technology and can identify individuals even when wearing masks, making it a  hygienic option. Additionally, it has an advanced anti-spoofing algorithm that can detect fake photos and videos. It also features 3-in- 1 palm recognition, which can identify Palm Shape, Palm Print, and Palm Vein in just 0.35 seconds per hand. The palm data is then  compared to a maximum of 3,000 palm templates. The facial camera also supports QR codes, Data Matrix, MicroAztec, and other formats, and the ZKBioAccess Mobile Page supports Dynamic QR codes for T&A/A&C.

Parameters

  • Model

    SpeedFace-V5L; SpeedFace-V5L[TD]; SpeedFace-V5L[TI]

  • Display

    5″@ ISP Color LCD Screen (720*1280)


  • Camera

    WDR Low Light Camera @ 2MP


  • Operation System

    Linux


  • Hardware

    CPU: 1.GHz Dual Core
    RAM: 1GB; ROM: 8GB
    Supplement Light: Yes
    Virtual Keypad: 12 Keys
    Fingerprint Sensor: Z-ID

  • Authentication Method

    Face / Fingerprint / Palm (Customized) / Card / Password (Virtual Keypad)


  • Fingerprint Template Capacity

    6,000 (1:N) (Standard) / 10,000 (1:N) (Optional) / 6,000 (1:1)


  • Face Template Capacity

    6,000 (1:N) (Standard) / 10,000 (1:N) (Optional) / 6,000 (1:1)

  • Palm Template Capacity

    【Customized】 3,000 (1:N) (Standard) / 3,000 (1:1)

  • Card Capacity

    10,000 (1:N) (Optional) / 10,000 (1:1)

  • Transaction Capacity

    200,000 (1:N) (Optional for Capacity Expansion)

  • Biometric Verification Speed

    less than 0.3 sec (Fingerprint)
    less than 1 sec (Facial Recognition)
    less than 0.35 Sec (Palm)


  • Touchless Biometric Recognition Distance

    1cm to 100cm (Facial Recognition)
    Up to 50cm(Palm)

  • False Acceptance Rate (FAR) %

    FAR ≤ 0.01% ( Visible Light Facial Recognition)
    FAR ≤ 0.0001% ( Fingerprint ; ZKFingerprint V10.0)
    FAR ≤ 0.05% (ZKPalm V12.0)


  • False Rejection Rate (FRR) %

    FRR ≤ 0.02% ( Visible Light Facial Recognition)
    FRR ≤ 0.01% ( Fingerprint : ZKFingerprint V10.0)
    FRR ≤ 1.8% ( ZKPalm V12.0)



  • Biometric Algorithm

    ZKFace 3.5
    ZKPalm V12.0 (Customized)
    ZKFingerprint V10.0

  • Card Type

    ID Card@125 kHz (Optional)
    IC Card@13.56 MHz (Optional)
    CEPAS(Optional)



  • QR Code

    Dynamic or Static QR codes on the ZKBioSecurity mobile application. QR code, PDF417, Data Matrix, MicroPDF417 and Aztec scanning in third-party development projects(Support QR500/600 Series).

  • Communication

    TCP/IP*1
    Wiegand (Input & Output)*1
    RS485: ZKTeco RS485*1*
    Aux Inputs *1, Aux Outputs *1, Electric Lock*1, Door Sensor*1, Exit Button*1, Alarm*1, Doorbell*1

  • Standard Functions

    ADMS, T9 Input, DST, 14-digit User ID, Access Levels, Groups, Holidays, Anti-passback,
    Record Query, Tamper Switch Alarm, Multiple Verification Methods

  • Power Supply

    DC 12V 3A


  • Operating Temperature

    -10°C ~ 45°C (14°F ~ 113°F)

  • Operating Humidity

    10% to 90% RH (Non-condensing)

  • Dimensions

    91.93mm * 202.93mm * 21.5mm (L*W*H)

  • Gross Weight

    1.3 Kg

  • Net Weight

    0.6 Kg

  • Supported Software

    Software: ZKBio CVAccess / ZKBioTalk
    Mobile App: ZKBio Zlink / ZSmart
    Cloud Service: ZKBio Zlink

  • Installation

    Wall-mount (Compatible with Asian Gang-box / Single Gang-Box)

  • Certifications

    ISO14001, ISO9001, CE, FCC













































































































































































































































































































































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