GROW R102A Capacitive USB Fingerprint Reader With DC5V 208*288 Pixel 1500 Capacity For Windows Android Access Control
Price:
Negotiable
MOQ:
1
Delivery Time:
Peak Season Lead Time: within 15 workdays Off Season Lead Time: within 15 workdays
Product Description
Description
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
Specifications
|
Model
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R102A Capacitive USB Fingerprint Reader
|
|
Interface
|
USB 2.0
|
|
Dimension (L*W*H)
|
83*55*13 mm
|
|
Scanning Speed
|
< 0.2 second
|
|
Verification Speed
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< 0.3 second
|
|
Matching Method
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1:1; 1:N
|
|
Resolution
|
508DPI
|
|
Fingerprint Capacity
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1500
|
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Sensing Array
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208*288 pixel
|
|
Template Size
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512 bytes
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Voltage
|
5V
|
|
Collection Area
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12*17.5mm
|
|
FRR (False Rejection Ratio):
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≤0.01%
|
|
FAR (False Acceptance Ratio):
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≤0.0001%
|
|
Power Consumption
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Work 100ma, Peak 150ma
|
|
Antistatic capacity
|
15KV
|
|
Abrasive resistance intensity
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1 million times
|
|
Work environment
|
-25°C ---55°C
|
|
Work Humidity
|
10-90%
|
Files
·Support Windows98,Me,NT4.0,2000,XP,Vista WIN7,Android
·Provide Free SDK Files










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Get in Touch
Have questions about our products or want to discuss a custom order? Our team is ready to help you.
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
