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 |  CAMA-AFM32 Capacitive Fingerprint Sensor Module for Live Finger Identification
CAMA-AFM32 is capacitive fingerprint module for secondary development. It can identify live fingers and refuse fake fingers, which belongs to higher security level comparing with optical ones.
It features small size, low power consumption, simple ports, high reliability, small fingerprint template, large fingerprint capacity, etc. It is convenient to be embedded to user system for realizing clients required fingerprint verification products.
CAMA-AFM32 outstandingly features self-learning function. During the fingerprint verification process, the latest collected fingerprint features would be integrated into the fingerprint database automatically so that the users would obtain better and better fingerprint verification result.
 |  | CAMA-AFM31 Semiconductor Fingerprint Module for Embedded Application
CAMA-AFM31 Semiconductor fingerprint module is an fingerprint oem module for secondary development. It can identify live fingers and refuse fake fingers, which belongs to higher security level comparing with optical ones. Support Android system application
It features small size, low power consumption, simple ports, high reliability, small fingerprint template, large fingerprint capacity, etc. It is convenient to be embedded to user system for realizing clients required fingerprint verification products.
|  | CAMA-SM30 Capacitive Fingerprint Sensor Module
CAMA-SM30 Capacitive fingerprint sensor module
CAMA-SM30 Capacitive fingerprint sensor module is a fingerprint module for secondary development. It features small size, low power consumption, simple ports, high reliability, small fingerprint template (496bytes), large fingerprint capacity, etc. It is convenient to be embedded to user system for realizing clients required fingerprint verification products.CAMA-SM30 Capacitive fingerprint sensor module has outstanding features like self-learning function. During the fingerprint verification process, the latest collected fingerprint features would be integrated into the fingerprint database automatically so that the users would obtain better and better fingerprint verification result.
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