Product Introduction
R102A outstandingly features self-learning function. During the fingerprint verification process,the latest collected fingerprint features would be integrated into the fingerprint database automatically so that the users would obtain better and better fingerprint verification result.
·High performance fingerprint reader for precise authentication with PC or network security
·Excellent adaption for dry, wet, harsh fingerprint
·USB interface for high speed communication
·Windows98,Me,NT4.0,2000,XP,Vista WIN7,Android support
·Outstanding authentication performance combined with SDK
·Adopts zinc alloy and well protect the fingerprint sensor
·High speed fingerprint identification algorithm engine
·Self study function
·Fingerprint feature data read/write functions
·Get Feature Data of Captured fingerprint and Verify/Identify Downloaded Feature with Captured fingerprint
·Identify Downloaded Feature with Captured fingerprint
·Security Level setting
Model | R102A Capacitive USB Fingerprint Reader |
Interface | USB 2.0 |
Dimension (L*W*H) | 83*55*13 mm |
Scanning Speed | < 0.2 second |
Verification Speed | < 0.3 second |
Matching Method | 1:1; 1:N |
Resolution | 508DPI |
Fingerprint Capacity | 1500 |
Sensing Array | 208*288 pixel |
Template Size | 512 bytes |
Voltage | 5V |
Collection Area | 12*17.5mm |
FRR (False Rejection Ratio): | ≤0.01% |
FAR (False Acceptance Ratio): | ≤0.0001% |
Power Consumption | Work 100ma, Peak 150ma |
Antistatic capacity | 15KV |
Abrasive resistance intensity | 1 million times |
Work environment | -20°C ---55°C |
Work Humidity | 10-80% |
·Support Windows98,Me,NT4.0,2000,XP,Vista WIN7,Android
·Provide Free SDK Files for Arduino, Android,.Net,Windows and so on.
·Provide Free SDK Files for Arduino, Android,.Net,Windows and so on.
