GROW R106 ISO ANSI Standard Biometric Desktop Capacitive USB Fingerprint Reader Support Windows Android
Price:
Negotiable
MOQ:
1
Delivery Time:
Peak Season Lead Time: within 15 workdays Off Season Lead Time: within 15 workdays
Product Description
Description
The R106 fingerprint reader is a fingerprint authentication software development tool which is designed for the android application developers to apply the fingerprint recognition functions in developing of fingerprint recognition programs based on fingerprint international standard,like ISO19794-2,ISO19794-4,ANSI 378,ANSI 381 and WSQ.It can be used in the personal identification applications on phone and pocket PC, mobile, etc.
·International Standards: ISO19794-2, ISO19794-4, ANSI 378, ANSI 381 and WSQ;
·Ultrathin Structure: Easy to integrate product structure design
·Fast Acquisition Speed: Single frame image acquisition time ≤0.25s;
·High Image Quality: Capacitive fingerprint acquisition technology, clear image quality;
·Strong adaptability: IDFinger fingerprint recognition algorithm adopts adaptive adjustment mechanism to make dry, wet and rough fingers have good imaging effect;
·Support systems: Support Windows, Android, and other embedded operating systems;
·Simple development: Complete SDK development package, no drive installation, plug and play.
Specifications
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Model
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R106
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Type
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USB Capacitive Fingerprint Reader
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|
Dimension
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83*55*13 mm(L*W*H)
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Sensing Array
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208*288 pixel
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Resolution
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508 DPI
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Voltage
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5V
|
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Woking Current |
50mA |
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Interface
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USB1.1/2.0
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Support System
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Windows, Android
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Match Time
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<0.1s(1:1), <0.5s(1:N,100 pieces)
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FRR
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≤1%
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FAR
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≤0.0001%
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Contact Discharge
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±8KV
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Air Discharge
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±15KV
|
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Work Temperature
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0°C ~ 55°C
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Storage Temperature |
-40°C ~ 60°C |
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Working Humidity |
<90% R.H |
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Storage Humidity
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20% ~ 93% R.H
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Files
·Provide Free SDK FilesIf need SDK files,pls contact us.
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Get in Touch
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Company
Hangzhou Grow Technology Co., Ltd.
Location
Room 310, Building 1-B, No. 279 Shiqiao Road, Xiacheng District, Hangzhou, Zhejiang, China 310012
Contact Person
Winni Wu