GROW R503 Capacitive Fingerprint Sensor Module With 200 Finger Capacity

The GROW R503 Capacitive Fingerprint Sensor Module With 200 Finger Capacity features a UART interface and can store up to 200 fingerprints. With a 192*192 pixel sensing array and an effective collection area of 15.5mm in diameter, it integrates image collection and algorithm processing in one unit. It adapts well to various finger conditions, ensuring high recognition rates.

Ideal for embedding into end products such as access control systems, attendance machines, and safety deposit boxes. This fingerprint module support with Arduino, Android, Windows, Linux, .Net and so on.

Features:

• High adaptability to different finger conditions
• Integrated image collection and algorithm processing
• Compact design suitable for various end products
• High recognition rate for different finger textures
• Easy integration with UART interface
• Reliable and accurate fingerprint recognition
• Fingerprint Capacity: 200
• Effective collection area: diameter 15 (mm)

Specifications:

• Interface:RS232 (TTL)
• Resolution:508 DPI
• Voltage:DC 3.3V
• Working current(Fingerprint acquisition):20mA
• Standby current(finger detection): Typical touch standby voltage: 3.3V, Average current: 2uA
• Fingerprint capacity:200
• Sensing Array:192*192 pixel
• Fingerprint module external size: diameter 25mm
• Fingerprint module inner size: diameter 22mm(M22)
• Fingerprint module height: 15mm
• Effective collection area: diameter 15mm
• Connector: SH1.0-6pin
• LED Color: RGB
• LED Control: Yes
• 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%
• Antistatic capacity:15KV
• Abrasive resistance intensity:1 million times
• Peak power consumption:60 mA
• Work environment:-20°C —55°C
• Work Humidity:0-90%
• Communications baud rate (UART):(9600 × N) bps where N = 1 ~ 12(default N = 6, ie 57600bps)

Package Includes:

• 1 x GROW-R503 Fingerprint Module