Wide Dynamic Face/Finger Recognition Device- AI FACE 3000

Features & Compatibility

Description : Wide Dynamic Face/Finger Recognition Device
Model No : 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 right：≤30° / High and low：≤30°
Deep learning, a lightweight version of the algorithm that does not use
the NNIE neural network hardware engine
3
Color camera：1 million（1280*720） pixels
Infrared camera：1 million（1280*720） pixels
Field angle：57.2°（D）
0.5 –1.3M

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

3.5″(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