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Suprema’s new fingerprint modules are significantly faster and include new interface options

 

Biometrics and identification technology company Suprema, Inc. has launched a new series of fingerprint embedded modules featuring an updated CPU, and a variety of new features for use in applications from point-of-sale systems to access control.

SFM5500 Series products available today include the waterproof wet/dry optical fingerprint sensor systems SFM5520-OP and SFM5530-OC, as well as the SFM5550-TC1 and TC2 capacitive touch sensors which include Suprema’s “PerfectPrint” technology.

Suprema-SFM5520-OP

Underpinning the new embedded modules is a new 533 MHz processor which makes enrollment and identification faster than the previous generation’s 400MHz DSP unit. Additionally, its FBI-certified Wavelet Scalar Quantization (or WSQ) image compression technology allows users to manage and transmit biometric data more securely and quickly.

Users can configure three digital inputs and outputs, as well as control three LED outputs. The modules support interfacing with Wiegand and RS232/RS422/RS485 protocols.

The SFM5500 Series is suited towards mobile biometrics, and high-volume applications such as access control, POS systems, time and attendance, and card readers.

“The new SFM5500 Series will provide our customers with more confidence in designing devices for various applications requiring high-volume processing, as it offers flexible customization as well as enhanced performance thanks to an upgraded CPU.” said Suprema vice president Young S. Moon said in statement. “With biometric technology becoming more popular for mobility, such as with smartphones, the SFM5500 Series will bring our customers more opportunity to expand business across various applications.”

Earlier this year, Entertech Systems, Suprema’s official operating partner in the US, UK and other markets, launched the Suprema BioEntry Plus finger-only reader as an affordable way for companies to move from card-based access control to a more secure biometric solution based around fingerprint ID.

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