

GROW R503 Capacitive Fingerprint Sensor UART M22 Panel Mount Ø25×15mm IP65
Part number R503
From the shop's description
GROW R503 Capacitive Fingerprint Sensor UART M22 Panel Mount Ø25×15mm IP65 The GROW R503 Capacitive Fingerprint Sensor Module 3.3V 22mm Panel Mount is a compact biometric fingerprint recognition module designed for secure authentication and access control applications. Utilizing advanced capacitive fingerprint sensing technology, it delivers fast, accurate, and reliable fingerprint acquisition while offering excellent resistance to spoofing compared to optical fingerprint sensors. The module communicates through a standard UART serial interface, making it easy to integrate with microcontrollers, embedded systems, Arduino, ESP32, STM32, Raspberry Pi, and other development platforms. Features: Capacitive fingerprint sensing technology. 3.3V operating voltage. UART serial communication interface. 22mm panel-mount design. IP65 front panel protection. Integrated RGB Aura LED indicator. Fast fingerprint enrollment and recognition. Onboard fingerprint template storage. Specifications: Parameter Value Model R503 Product Type Capacitive Fingerprint Sensor Module Sensing Technology Capacitive Operating Voltage 3.3V Communication Interface UART (TTL Serial) Mounting Type 22mm Panel Mount Protection Rating IP65 (Front Surface) Fingerprint Capacity Up to 200 Fingerprints Image Resolution 192×192 Pixels Recognition Time <0.2s False Acceptance Rate (FAR) <0.001% False Rejection Rate (FRR) <1% LED Indicator RGB Aura LED Operating Temperature -20°C to +60°C Configuration: Applications: Smart door locks. Access control systems. Attendance systems. Time recording terminals. Electronic safes. Security cabinets. Biometric authentication systems. Arduino projects. ESP32 and STM32 development. Raspberry Pi biometric applications. Smart home automation. Embedded security devices. Package Include: 1x GROW R503 Capacitive Fingerprint Sensor UART M22 Panel Mount Ø25×15mm IP65. 1x M22 nut. Datasheet Note If you want more informations chick this Link Fingerprint Sensors
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