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Cloud Softeware Face Recognition Machine For Time Attandance / Access Control

Cloud Softeware Face Recognition Machine For Time Attandance / Access Control

  • High Light

    0.2s Face Recognition Machine

    ,

    256MB Face Recognition Machine

    ,

    Linux face time attendance machine

  • Screen
    4.3 Inch Touch Screen
  • RAM
    256MB DDR3
  • Model Number
    EU-AI06
  • Logs Capacity
    500000
  • Type
    Face, Fingerprint, RFID (IC/ID Card)
  • Operating System
    Linux 3.1
  • Recognition Distance
    0.5-2.5m
  • Customized Support
    Software Reengineering, OEM, ODM, Customized Logo
  • Place of Origin
    Guangdong China
  • Brand Name
    Turboo
  • Certification
    CE,FCC
  • Model Number
    AI06
  • Minimum Order Quantity
    1 pcs
  • Price
    Negotiate
  • Packaging Details
    carton package
  • Delivery Time
    7-10 working days
  • Supply Ability
    1500+PCS PER MONTH

Cloud Softeware Face Recognition Machine For Time Attandance / Access Control

Description Of Face Recognition Machines

 

AI06(Linux Type)Pass Management of Face Recognition,have 5000 pcs Facial capacity,equipped with industrial-class binocular camera, face living body recognition technology. Support face-with-mask recognition, built-in infrared thermal imaging module and IC card reader, and support ID card reader and Password. It can be applied to gate passages and attendance system to achieve safe and efficient access control for personnel.

 

Application Of Face Recognition Machines

 

Passenger Turnstile, Government Institution, Office, Building, Apartment,Community, College.

 

Features

 

1. Simultaneously Recognizing 5 Users
2. 3 Recognition Distance Mode: Long(2.5m)/Middle(1.5m)/Short(0.5m)
3. 5000 Face Capacity
4. 0.2s Recognition Speed
5. 200W WDR, Able To Work In Dark, Back Light And Strong Light
6. 4.3 Inch HD Touch Screen with Operation System
7. Stranger Mode: Capturing And Recording Strangers
8. Customized Logo And Screen Saver
9. Free Time Attendance System
10. Double Verification: Card+Face