Datamine is providing Singapore cheap face recognition door access control system. Face recognition door access time recorder come with time attendance and Singapore payroll software. We do have variety of economic Biometric door access system, Cheap finger print door access system, budget face recognition door access control, finger vein door access time recorder with time attendance software and Singapore payroll software. You can choose cheap face recognition door access or biometric finger print door access within your budget.

Datamine VF780 is a face identification time attendance and access control terminal, which can connect with 3rd party electric lock, door sensor, and exit button etc.

Datamine VF780 face recognition door access system come with the latest face identification algorithm and streamlined technology, it can hold 400 face templates without dividing into groups.

Datamine VF780 facial door access control system can Communicating via Wi-Fi, Ethernet, and USB (host and client), it ensures a smooth connection and data transfer. Amazing verification speed and intuitive operation process make them popular. Elaborately designed and finely processed, they match your slap-up office perfectly.

Display 3-inch Touch Screen
Face Capacity400 (1:N)
ID Card Capacity(optional)10,000
Log Capacity100,000
CameraHigh Resolution Infrared Camera
Access Control Interface for3rd party electric lock, door sensor, exit button, alarm, wired doorbell
Anti-pass back Function Yes
Wiegand SignalInput & Output
Verification SpeedLess than 1sec
Power supply12V, 1.5A
Operating temp0c- 45c
Operating Humidity20%-80%
Optional Functions ID/Mifare/HID card, Web server
Elegant ergonomic design; Easy installation
Wi-Fi, Ethernet, and USB (host and client) communication
Professional ZKTeco face identification algorithm
400 face capacity and 10,000 ID Card Capacity
Network interfaces for WiFi, TCP/IP and USB
Access control interface for 3rd party electric lock, door sensor, exit button, alarm and doorbell
Infra-red optical system enables user-identification in poorly light environments