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Welcome to Software and Drivers for

Xperix BioMini Slim 2 Fingerprint


The Xperix BioMini Slim 2 Fingerprint Scanner is a compact fingerprint scanner and an FBI-certified FAP20 device for high-security applications, featuring advanced live finger detection and possessing a dust- and waterproof case rated IP65 to ensure trouble-free performance even in the most varied environments. The model of the scanner will work with a number of operating systems, including Windows and Linux. For smooth function, download the latest version of the driver; follow installation instructions. Make use of this ultra-slim optical reader for seamless fingerprint capture.

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What Model do you have?

Windows

driver Xperix BioMini Slim 2 Driver

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Version:-

V_2.2.1

Download Counts:-

157

Supporting OS:-

Window 7, Window 8, Window 10, Window 11

Update On:-

18/01/2025


pdf Xperix Biomini Slim 2 DataSheet

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Version:-

Download Counts:-

42

Supporting OS:-

Update On:-

21/07/2024


Other Details

Download the Xperix BioMini Slim 2 Fingerprint driver for Windows to ensure optimal functionality of this compact design, FBI-certified FAP20 fingerprint scanner. It will work with Windows 7, 8, 10 and 11. The advanced live finger detection technology is embedded in an IP65-rated dust- and waterproof design. Download the driver and follow the installation instructions. Installing the driver is necessary to have the best level of performance and compatibility. The BioMini Slim 2 is a slim optical fingerprint sensor module, appropriate for high-security applications. It provides trustworthy, productive fingerprint capture. Get the latest download of the driver for smooth integration with your system.

Faq

Xperix BioMini Slim 2 Fingerprint: This is a slim, compact fingerprint scanner with either advanced optical or capacitive technology for capturing high-resolution fingerprint images. It connects a variety of applications to secure access and biometric identification by fusing portability with reliability.


It captures the fingerprint image by using optical or capacitive sensors. Further, the images obtained are changed into digital templates which later on match with the stored templates for authentication to identify a user with a high degree of accuracy.