Hangzhou Grow Technology Co., Ltd.

Hangzhou Grow Technology Co., Ltd.

Manufacturer from China
Verified Supplier
2 Years
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GROW R101SN USB Fingerprint Reader Sensor With Windows98,Me,NT4.0,2000,XP,Vista WIN7,Android

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Hangzhou Grow Technology Co., Ltd.
City:hangzhou
Province/State:zhejiang
Country/Region:china
Contact Person:MsWinni Wu
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GROW R101SN USB Fingerprint Reader Sensor With Windows98,Me,NT4.0,2000,XP,Vista WIN7,Android

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Place of Origin :China
Certification :CE
MOQ :1
Packaging Details :Carton
Delivery Time :Peak Season Lead Time: within 15 workdays Off Season Lead Time: within 15 workdays
Payment Terms :T/T,PayPal
Supply Ability :5000
Model NO. :R101SN
Screen :as Picture
Communication Interface :USB
Fingerprint Capacity :1000
Resolution :508 Dpi
Voltage :DC 5V
Dimension :83*55*13 mm
Material :Zinc Alloy Pedestal
Thickness :1.3cm
Transport Package :Standard Export Carton Package
Specification :83*55*13 mm
Trademark :GROW
Origin :China
HS Code :8471609000
Voice Service :Without Voice Service
Clock :Without Clock
Color :Black
Samples :US$ 36.3/Piece 1 Piece(Min.Order) |
Customization :Available | Customized Request
Shipping Cost :about shipping cost and estimated delivery time.
Payment Method :Initial Payment Full Payment
Currency :US$
Return&refunds :You can apply for a refund up to 30 days after receipt of the products.
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GROW R101SN USB Fingerprint Reader Sensor With Windows98,Me,NT4.0,2000,XP,Vista WIN7,Android

Description

R101SN Capacitive USB Fingerprint Reader
R101SN's fingerprint collecting chip is FPC1020.
Material:Zinc alloy pedestal
The thickness is only 1.3 cm!


R101SN 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

·Interface: USB
·Dimension (L*W*H): 83*55*13 mm
·Fingerprint capacity: 1000
·Resolution: 508 DPI
·Voltage: 5V
·Scanning Speed: < 0.2 second
·Verification Speed: < 0.3 second
·Matching Method: 1:1; 1 :N
·FRR (False Rejection Ratio): ≤0.01%
·FAR (False Acceptance Ratio): ≤0.0001%
·Antistatic capacity: 15KV
·Abrasive resistance intensity: 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


GROW R101SN USB Fingerprint Reader Sensor With Windows98,Me,NT4.0,2000,XP,Vista WIN7,Android
GROW R101SN USB Fingerprint Reader Sensor With Windows98,Me,NT4.0,2000,XP,Vista WIN7,Android
GROW R101SN USB Fingerprint Reader Sensor With Windows98,Me,NT4.0,2000,XP,Vista WIN7,Android
GROW R101SN USB Fingerprint Reader Sensor With Windows98,Me,NT4.0,2000,XP,Vista WIN7,Android
GROW R101SN USB Fingerprint Reader Sensor With Windows98,Me,NT4.0,2000,XP,Vista WIN7,Android
GROW R101SN USB Fingerprint Reader Sensor With Windows98,Me,NT4.0,2000,XP,Vista WIN7,Android
GROW R101SN USB Fingerprint Reader Sensor With Windows98,Me,NT4.0,2000,XP,Vista WIN7,Android
GROW R101SN USB Fingerprint Reader Sensor With Windows98,Me,NT4.0,2000,XP,Vista WIN7,AndroidGROW R101SN USB Fingerprint Reader Sensor With Windows98,Me,NT4.0,2000,XP,Vista WIN7,AndroidGROW R101SN USB Fingerprint Reader Sensor With Windows98,Me,NT4.0,2000,XP,Vista WIN7,Android
GROW R101SN USB Fingerprint Reader Sensor With Windows98,Me,NT4.0,2000,XP,Vista WIN7,Android
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