PFACE 202 PALM & FACE RECOGNITION READER
PFace 202 is multi-biometric time attendance device. PFace 202 come with palm recognition, face recognition, fingerprint scanner and RFID/HID/Mifare card module. Also can set the PIN for the user. PFace 202 can be used for door access system also.
PFace 202 is contactless biometric time attendance device. Can read the hand PALM and face recognition to authenticate the employees time IN/OUT. All time data can be stored in to the machine as well upload to ADMS time attendance server.
PFace 202 come with ADMS setup for upload the time data to time attendance server. For that use the 3G/4G GPRS and also use local TCP/IP to configure. Once employees scan the face or palm the attendance data immediately upload to server.
After upload the employees time data, can use the ONLINE payroll system to process the pay for that employees. Also its very easy steps to process and payout to employees with allowance and deduction.
Display | 4.3-Inch Touch Screen |
Face Capacity | 1,200 (1:N) / 3,000 (1:1) |
Palm Capacity | 600 |
Fingerprint Capacity | 2000 |
Proximity / MiFare Card Capacity | 10,000(optional) |
Attendance Logs capacity | 100,000 |
Communication | TCP/IP, USB Host, WiFi(optional) |
Standard Functions | Automatic Status Switch, Self-Service Query, Work Code, SMS, DST, T9 Input, 9 Digit User ID, Scheduled Bell, Photo ID |
Optional Functions | MiFare Card, 3G, ADMS, 2000mAH Backup Battery |
Power Supply | 12V 3A |
Operating Temperature | 0 °C- 45 °C |
Operating Humidity | 20% - 80% |
Dimension | 193.6*165*111mm (Length*Width*Thickness) |
Package Weight | 1.89 kg |
Multi-Biometric Verification mode: Palm/Face/Fingerprint. |
High verification speed. |
Advanced Access Control Function. |
Optional built-in battery backup, providing approximately 3 hours of continuous operation. |
Advanced and user-friendly UI |
Built-in battery backup, providing approximately 4 hours of continuous operation |
New Framework firmware, easy to extend functions and customize client’s requirements |
600 palm, 1,200 face and 2,000 fingerprint templates. |
Able to detect whether the face is an actual face or a photo, enhancing the security level of verification |
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