ATTENDANCE MANAGEMENT SYSTEM: Face Recognition Machine

Face attendance management system uses the latest platform, high-capacity, Face 5.0 and Finger 10.0 algorithm. Face attendance management system combines high-speed 630MHz Multi-Bio processor and high-resolution infrared camera that can detect in dark conditions. The whole operation of attendance management system can be executed on the touch screen size 4.3 inch TFT. Multi-mode communication includes RS232/485, TCP / IP, feature WiFi or GPRS. Built-in 2000mAh battery makes it work when power is turned off.

System Specification

  • Integration of Face recognition, Fingerprint, and Password identification methods.
  • Elegant design according to the view of human engineering
  •  4.3’’ TFT touch screen, easy operation, fashionable and simple interface.
  • 6 user-defined function keys
  • Simple access control function reduces extra door control equipments cost for users.
  • Extendable scheduled-bell.
  • Infrared optical system enables user identification in dark environment
  • Optional built-in backup battery support extra 4 hours continuous operation if power cut.
  • Optional built-in wireless WiFi or GPRS communication makes easier device installation without wiring.

Technical Specification

  • Processor: Multi-Bio 600
  • Memory: 256M flash, 64 SDRAM
  • Camera: High Definition Infrared Camera
  • Display: 4.3’’ TFT with touch screen
  • Storage Capacity: Face:700,  Fingerprint: 3000, Card10,000,  Logs:100,000
  • Back-up Battery:2000 mAh (Optional)
  • Communication: TCP/IP, RS232/485
  • USB-HOST: Two
  • T&A functions: Extendable Scheduled-bell, DLST, Self-Inquiry, Work Code, Short  Message, T9 input Webserver
  • Simple A&C function: electric lock, door sensor, exit button, Weigand output
  • Optional functions: WIFI, GPRS, serial printer, Mifare/HID/iClass, backup battery
  • Power Supply: 12V 3A
  • Verification Speed: ≤2 sec
  • Operating Temperature: 0-45 degrees
  • Operating Humidity: 20%-80%

Dimension: 193.6*165.2*86 mm

attendance Face Recongnition