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China factory - Hangzhou Grow Technology Co., Ltd.

Hangzhou Grow Technology Co., Ltd.

  • China,Hangzhou ,Zhejiang
  • Verified Supplier

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China Grow R304A DC4.2-6V 208*288 Pixel Capacitive Fingerprint Module Scanner
China Grow R304A DC4.2-6V 208*288 Pixel Capacitive Fingerprint Module Scanner

  1. China Grow R304A DC4.2-6V 208*288 Pixel Capacitive Fingerprint Module Scanner
  2. China Grow R304A DC4.2-6V 208*288 Pixel Capacitive Fingerprint Module Scanner
  3. China Grow R304A DC4.2-6V 208*288 Pixel Capacitive Fingerprint Module Scanner
  4. China Grow R304A DC4.2-6V 208*288 Pixel Capacitive Fingerprint Module Scanner
  5. China Grow R304A DC4.2-6V 208*288 Pixel Capacitive Fingerprint Module Scanner
  6. China Grow R304A DC4.2-6V 208*288 Pixel Capacitive Fingerprint Module Scanner

Grow R304A DC4.2-6V 208*288 Pixel Capacitive Fingerprint Module Scanner

  1. MOQ: 1
  2. Price:
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Payment Terms T/T, PayPal
Supply Ability 5000
Delivery Time Peak Season Lead Time: within 15 workdays Off Season Lead Time: within 15 workdays
Packaging Details Carton
Model NO. R304A
Screen as Picture
Communication Interface RS232, USB
Fingerprint Capacity 1500
Voltage DC 4.2-6.0V
Effective Collection Area 12 * 17.5 (mm)
Fingerprint Module Size 20.4 * 33.4 (mm)
Sensing Array 208*288 Pixel
Template Size 512 Bytes
Resolution 508 DPI
Work Current <55mA
Security Level 1-5, Default is 3
Transport Package Standard Export Carton Package
Specification Fingerprint module size: 20.4 * 33.4 (mm)
Trademark GROW
Origin China
HS Code 8471609000
Voice Service Without Voice Service
Clock Without Clock
Color as Picture
Samples US$ 22.5/Piece|1 Piece(Min.Order)
Customization Available | Customized Request
Shipping Cost Contact the supplier about freight and estimated delivery time.
Payment Method Initial Payment,Full Payment
Currency US$
Return&refunds Claim a refund if your order doesn't ship, is missing, or arrives with product issues.
Certification CE
Place of Origin China

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  1. Product Details
  2. Company Details

Product Specification

Payment Terms T/T, PayPal Supply Ability 5000
Delivery Time Peak Season Lead Time: within 15 workdays Off Season Lead Time: within 15 workdays Packaging Details Carton
Model NO. R304A Screen as Picture
Communication Interface RS232, USB Fingerprint Capacity 1500
Voltage DC 4.2-6.0V Effective Collection Area 12 * 17.5 (mm)
Fingerprint Module Size 20.4 * 33.4 (mm) Sensing Array 208*288 Pixel
Template Size 512 Bytes Resolution 508 DPI
Work Current <55mA Security Level 1-5, Default is 3
Transport Package Standard Export Carton Package Specification Fingerprint module size: 20.4 * 33.4 (mm)
Trademark GROW Origin China
HS Code 8471609000 Voice Service Without Voice Service
Clock Without Clock Color as Picture
Samples US$ 22.5/Piece|1 Piece(Min.Order) Customization Available | Customized Request
Shipping Cost Contact the supplier about freight and estimated delivery time. Payment Method Initial Payment,Full Payment
Currency US$ Return&refunds Claim a refund if your order doesn't ship, is missing, or arrives with product issues.
Certification CE Place of Origin China
High Light 4.2v fingerprint module6v fingerprint moduleCapacitive fingerprint module
R304s 208*288 Pixel Capacitive Fingerprint Module Scanner

Description

·Communication interface : USB and UART
·1:N Identification (One-to-Many)
·1:1 Verification (One-to-One)
·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
·Able to set BaudRate/ Device ID/Device Password
·Operating system:Windows 98, Me, NT4.0, 2000, XP,WIN 7 or Android

 

Specifications

·Interface:USB 2.0 and UART(3.3V-TTL logic)
·Resolution:508 DPI
·Work Current: <55mA
·Voltage: DC 4.2-6.0V
·Fingerprint capacity:1500
·Security Level: 1-5, default is 3
·Sensor Array: 208*288 pixel
·Template Size: 512 bytes
·Fingerprint reader module size: 20.4 * 33.4 (mm)
·Effective collection area: 12*17.5 (mm)
·ScanningSpeed: < 0.2 second
·Verification Speed: < 0.3 second
·Matching Method: 1:1; 1:N
·FRR (False Rejection Ratio): ≤0.01%
·FAR (False Acceptance Ratio): ≤0.00001%
·Work environment: -20°C ---55°C
·Work Humidity: 20-80%
·Communications baud rate (UART): (9600 × N) bps where N = 1 ~ 12(default N = 6, ie 57600bps)

 

Files

·All fingerprint module support with Arduino, Android, Windows, Linux, .Net and so on. 
·Provide Free SDK Files
·Provide User Manual 



 

 

 

 
Principle and Implementation of Mobile Fingerprint Recognition
 
The premise of fingerprint recognition is to collect fingerprints. Currently, there are mainly two types of collection methods: sliding and pressing.
 
Step 1: Fingerprint Collection
 
Sliding collection is the process of sliding a finger over a sensor, allowing the phone to capture a fingerprint image of the finger. Sliding acquisition has the advantages of relatively low cost and the ability to capture large-area images. However, this collection method has the problem of poor user experience, as users need a continuous and standardized sliding motion to achieve successful collection, greatly increasing the probability of collection failure. A certain brand of mobile phone once used this collection method, which was criticized for the shortcomings of sliding collection.
 
As the name suggests, press based collection is the process of collecting fingerprint data by pressing on a sensor. While this method provides a better user experience, it is more expensive and technically challenging than sliding based collection. In addition, due to the smaller area of fingerprints collected at once compared to sliding collection, multiple collections are required to piece together larger fingerprint images. This must rely on advanced algorithms, using software algorithms to compensate for the relatively small fingerprint area obtained by sliding and pressing collection, in order to ensure the accuracy of recognition.
 
Step 2: Fingerprint evaluation
 
After collecting fingerprints, the quality of the collected fingerprints is evaluated. If they are not qualified, they need to be collected again. If they are qualified, the image will be enhanced and refined.
 
Step 3: Extract "features"
 
After processing, the binary image, refined image, and feature extraction image will be obtained in sequence. After obtaining a relatively clear image, feature extraction begins. After feature extraction and data storage, the next step of matching work can be carried out.
 
Step 4: Fingerprint matching
 
One thing to note in matching is that two sample images of the same finger may differ due to differences in finger displacement, deflection, and pressure. This requires calibration during matching, such as feature point set calibration, to ensure the accuracy of fingerprint recognition.

Company Details

Bronze Gleitlager

,

Bronze Sleeve Bushings

 and 

Graphite Plugged Bushings

 from Quality China Factory
  • Business Type:

    Manufacturer

  • Year Established:

    2013

  • Total Annual:

    3000000-5000000

  • Employee Number:

    101~200

  • Ecer Certification:

    Verified Supplier

Hangzhou Grow technology Co., Ltd. is a company working in the field of intelligent image recognition products with more than 10 years, we have real experts on manufacturing of barcode scanner, fingerprint module and intelligent lock in China. "GROW" is striving to increase customer satisf... Hangzhou Grow technology Co., Ltd. is a company working in the field of intelligent image recognition products with more than 10 years, we have real experts on manufacturing of barcode scanner, fingerprint module and intelligent lock in China. "GROW" is striving to increase customer satisf...

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Get in touch with us

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  • Hangzhou Grow Technology Co., Ltd.
  • Room 310, Building 1-B, No. 279 Shiqiao Road, Xiacheng District, Hangzhou, Zhejiang, China 310012
  • https://www.growhz.com/

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