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  • $143.07
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    AJMRTC High Precision Capacitive Fingerprint Reader (B) Module, UART & USB Dual Communication Ports, Supports Fingerprint Enrollment, Image Processing, Template Matching and Fingerprint Search for Bio

    • - High-precision capacitive semiconductor sensor, fast and stable fingerprint identification algorithm
    • - Dual UART and USB communication interfaces for flexible connection with host controllers
    • - Built-in complete functions: fingerprint enrollment, image capture, processing, matching and searching
    • - Configurable security level, low false acceptance rate for reliable biometric verification
    • - Rich development SDK and sample codes for Raspberry Pi, Arduino, STM32 embedded projects
    • - Compact module design, ideal for access control, smart lock and attendance system integration
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    Overview
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    AJMRTC Capacitive Fingerprint Reader (B) is a high-performance biometric recognition module built for secondary development. It adopts advanced capacitive sensing technology and commercial fingerprint algorithm to realize fingerprint enrollment, raw image acquisition, feature template generation, matching and searching locally on the module. It provides UART serial and USB dual communication interfaces to fit different wiring requirements. The recognition sensitivity is optimized for light touch operation without heavy pressing. It supports adjustable security grades and comes with full development resources including documentation, test software and demo examples. It is widely used for smart door locks, cabinet access control, time attendance terminals, embedded identity verification and IoT biometric projects.


    Specifications:

    1. Brand: AJMRTC
    2. Model: Capacitive Fingerprint Reader (B)
    3. Sensor Type: Capacitive semiconductor fingerprint sensor
    4. Communication Interface: UART, USB dual ports
    5. Core Functions: Fingerprint enrolling, image processing, matching, searching
    6. Security Level: Configurable
    7. Operating Voltage: 3.3V ~ 5V
    8. Compatible Platform: Raspberry Pi, Arduino, STM32 and other MCUs
    9. Application: Smart lock, access control, attendance machine, biometric identity verification


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