Virdi AC-7000

Main Featurs of VIrdi AC-7000

  • Powerful 1.0GHz Processor
  • FingerPrint Templates: 500,00(1:1), 50,000(1:N)
  • Face Template: 50,000(1:1), 10,000(1:N)
  • Transaction Log: 10,000,000

Advantages of Virdi AC-7000

  • Live Finger Detection
  • Fast Authentication Speed
  • Water-Resistant 
  • Intelligent Capture
  • Auto-sensing 
  • Multiple Application
  • Easy and accurate operation with convenient graphic LCD
  • Improved security.
  • Faster access.
  • Higher accuracy.
  • Greater convenience.
  • Helpful for calculating overtime
  • Calculate lateness

Consider before buying Virdi AC-7000 Multimodal Face and Fingerprint Terminal

Before buying the Virdi AC-7000 Multimodal Face and Fingerprint Terminal, you need to consider some queries. These are:  How many employees do you have? What type of basic timesheet or detailed data do you prefer? How much spending capacity do you have, if any at all? Do you want online or on-site support for your attendance data if multiple sites are in use? In addition, You have to consider: 

  • Accuracy - To avoid any mistakes or discrepancies, it's important to have a time clock that is as accurate as possible. The device should be able to punch in and out at the correct times. This is one of the most important reasons why you are buying this machine!
  • Integration - Your time attendance device should work with other software from different vendors and integrate seamlessly for maximum efficiency. The universality of your machine can make it last longer too!

 

FAQ on the Face Recognition Terminal. 

 

1. How accurate of face Recognition?

Facial Recognition systems can have near-perfect accuracy. Verification algorithms used to match subjects to clear reference images can achieve accuracy scores as high as 99.97%. This is comparable to the best results of iris scanners. This kind of face verification has become so reliable. 

2.What is the criterion for facial recognition?

Face recognition software employs computer algorithms to identify unique features on a person’s face. These data, such as eye range, are transformed into a mathematical representation and contrasted to data from other faces in a face recognition database.

Authentication MethodBiometric
Dust/ Water ResistanceX
MemoryMax Userscard(1:1) / (1:N)250,000
Fingerprint1:1250,000
(Base on one finger
enrollment per user)1:N25,000
Face1:110,000
(Base on five Face
enrollment per user)1:N2,000
Iris1:1X
(Base on 2 eyes (L/R)
enrollment per user)1:NX
TemplatesFingerprint1:1500,000
1:N50,000
MAX Templates per Finger2
MAX Finger per User10
Face1:150,000
1:N10,000
MAX Templates per Finger10
Iris1:1X
1:NX
MAX Templates per EyesX
MAX Templates per UserX
Logs10,000,000
Images20,000
Communicationwith serverTCP/IP
otherSD Card
Wireless LAN(Wi-Fi)Optional
Wiegand OUTO
RS232O
RS485O
Wiegand INO
DisplayLCD5”Color Touch
Backlight0
Embedded CameraDual
Card125khz-EMO
HID ProxyO
HID iclassO
13.56MHz Smart CardO
KeypadTouch Screen
Function keysSOFT
Door PhoneVoIP
FP Sensor (Platen Area)21 x 21mm
Resolution500dpi
Dimension(W) X (H) X (D) mm149.5 X 208.5 X46
FRR /FAR0.1% / 0.0001%
Operating Temperature-20 ~ 60℃
Operating Software (Server solution)UNIS