Detail Information

Model NO.:	R503S	Screen:	As Picture
Communication Interface:	RS232	Fingerprint Capacity:	150
Voltage:	DC 3.3V	Collection Area:	Diameter 15.5 (mm)
Sensing Array:	160*160 Pixel	Resolution:	508 Dpi
Abrasive Resistance Intensity:	1 Million Times	Antistatic Capacity:	15kv
Fingerprint Module External Diameter:	28mm	Fingerprint Module Inner Diameter:	25mm(M25)
Fingerprint Module Height:	19mm	Weight:	32g
LED Control:	Yes	Transport Package:	Standard Export Carton Package
Specification:	Diameter 28 (mm)	Trademark:	GROW
Origin:	China	HS Code:	8471609000
Supply Ability:	5000	Package Size:	13.00cm * 8.00cm * 9.00cm
Package Gross Weight:	0.100kg	Voice Service:	Without Voice Service
Clock:	Without Clock	Color:	Black
Samples:	US$ 10.5/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.
Highlight:	LED capacitive fingerprint module , RS232 capacitive fingerprint module , LED capacitive fingerprint sensor module

Product Description

Description

1. Integrated image collecting and algorithm chip together, ALL-in-One
2. The flexibility to adapt to the conditions was the fingers, whether it is dry fingers, wet fingers, light texture fingerprints fingers, and old fingers, all have high recognition rate
3. The main application areas: can be embedded into a variety of end products, such as: access control, attendance, safety deposit box

R503S fingerprint module with RGB ring indicator light, LED can be controlled by command.

	R503	R503-5V	R503-M22	R503Pro	R503S
Power Supply	DC 3.3V	DC 5V	DC 3.3V	UART: DC 3.3V USB:DC 5V	DC 3.3V
Sensing Array	192*192 Pixel	192*192 Pixel	192*192 Pixel	192*192 Pixel	160*160 Pixel
Fingerprint Capacity	200	200	200	1500	150
Size	M25	M25	M22	M25	M25
Connector	SH 1.0mm 6pin	MX 1.25mm 6pin	SH 1.0mm 6pin	SH 1.0mm 6pin	SH 1.0mm 6pin

R503S Specifications

Model	R503S
Type	Capacitive Fingerprint Module
Interface	UART(TTL)
Resolution	508 DPI
Voltage	DC 3.3V
Fingerprint Capacity	150
Sensing array	*160160 pixel**
Working current	20mA
Standby current	Typical touch standby voltage: 3.3V, Average current: 2uA
Fingerprint module external size	Diameter 28 (mm)
Fingerprint module inner size	Diameter 25 (mm) (M25)
Fingerprint module height	19 (mm)
Collection area	Diameter 15.5 (mm)
Connector	SH1.0-6Pin
LED Control	YES
LED Color	RGB
Scanning Speed	< 0.2 second
Verification Speed	< 0.3 second
Matching Method	1:1; 1:N
FRR	≤1%
FAR	≤0.001%
Work environment	-20C ---60C
Work Humidity	10-85%
Anti-static capacity	15KV
Abrasive resistance intensity	1 million times
Communications baud rate (UART):	(9600 × N) bps where N = 1 ~ 12(default N = 6, ie 57600bps)

Files

·Provide Free Reference SDK Files for Arduino, Android,.Net,Windows and so on.
·Provide User Manual

You can download the R503S user manual from this website link:
https://hzgrow.en.made-in-china.com

R503 Test program operation display video on Youtube: https://youtu.be/eD2xtwCWOmQ

If need SDK files,pls contact us.

How to choose the fingerprint module?

The rapid progress of science and technology has given rise to many remarkable leaps in technology, among which, biometrics technology is particularly noteworthy, and fingerprint identification technology, as a key branch of the biometric field, has attracted much attention. Today, we focus on the fingerprint module, a tool for fingerprint identification, to provide a concise introduction.

Fingerprint recognition, as a kind of biometric technology, has long stood out among many identification technologies and has been widely used. The root cause of the public trust is that each person's fingerprint is unique and has a lifelong invariance, just like a personal biological ID card, which provides extremely reliable credentials for identity verification. Fingerprint module captures and analyses the fingerprint image to verify the identity of an individual, and its core process covers image acquisition, feature extraction and pattern comparison.

Nowadays, fingerprint modules mostly use optical and semiconductor sensors to achieve fingerprint capture. Optical sensors, as an earlier technology, rely on the principle of light reflection; while semiconductor sensors make use of the conductive properties of the human body. Both have their own merits, optical sensors are better in terms of environmental adaptability, while semiconductor sensors are more advantageous in terms of size and power consumption, so users can choose flexibly according to their actual needs.

With the rapid development of artificial intelligence, the accuracy and speed of fingerprint modules continue to improve. Deep learning algorithms can mine complex features from massive fingerprint data, significantly improving recognition accuracy. In addition, the integration of live body detection technology effectively prevents attacks on forged fingerprints and ensures system security.

Internationally, a series of standards have been set for biometrics, specifying the performance requirements of fingerprint modules, such as false rejection rate and false acceptance rate, guaranteeing the interoperability and reliability of different products, which has also become an important basis for the selection of fingerprint module suppliers.

Although the current fingerprint module is quite mature, the technological progress never stops. As the application of fingerprint modules becomes more and more widespread, the security requirements of users will only get higher and higher, which poses a challenge to fingerprint modules. Practitioners need to constantly refine their fingerprint modules to meet higher security standards.

Looking ahead, fingerprint modules will be used in a wider range of applications, which means that fingerprint identification technology must have a higher degree of adaptability and compatibility to meet the needs of diverse applications. At the same time, technological innovation will never stop, and future fingerprint modules are expected to achieve more breakthroughs in miniaturisation, low power consumption and high performance.

Therefore, when choosing a fingerprint module, it is necessary to consider the technology, security, privacy protection, and future development trends and other dimensions, in order to select a fingerprint module that meets their needs.

Tag:

Place of Origin:	China
Certification:	CE

Minimum Order Quantity:	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

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Description

R503S Specifications

Files

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