Fingerprint module adopts high-performance ARM-Cortex kernel processor and fingerprint sensor, built-in a new generation of IDFinger intelligent self-learning fingerprint algorithm, with small size, low power consumption, fast comparison speed, high accuracy, dry and wet finger adaptability, high anti-counterfeit features. Standard UART communication, with the development of data, to meet fingerprint input, image processing, template generation, fingerprint comparison and other fingerprint identification needs. It can be flexibly embedded in various terminal devices, and is widely used in industries requiring identity authentication and security control through fingerprints.
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