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High Accuracy Biometric Sensor Module Easy Integration DC 4.2-6.0V

China High Accuracy Biometric Sensor Module Easy Integration DC 4.2-6.0V

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High Accuracy Biometric Sensor Module Easy Integration DC 4.2-6.0V

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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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Product Details
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	High Accuracy Biometric Sensor Module ，High Accuracy fingerprint identification module ，Easy Integration Biometric Sensor Module

Grow R304A DC4.2-6V 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

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Year Established:

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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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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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