BM-Slim2 is an Ultra-slim FAP20 Authentication Scanner Module, BM-Slim2 is a thin 13.5 mm FAP20 certified optical fingerprint sensor.

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Compatibility

  • down-arrow Citrix Virtual Apps
    7.15 LTSR, 7.18, 1808
  • down-arrow Citrix Workspace app
    Citrix Workspace App for Windows
  • down-arrow Citrix Virtual Desktops
    7.15 LTSR, 7.18, 1808

Product Details

BM-Slim2 is an Ultra-slim FAP20 Authentication Scanner Module, BM-Slim2 is a thin 13.5 mm FAP20 certified optical fingerprint sensor.

Suprema’s patented MDR technology guarantees exceptional fingerprint image quality even under extreme direct light condition up to 100,000 LUX. While providing faster image capture speed of up to 6 ms, MDR technology allows superior sensing capability regardless dryness as well as light conditions

BM-Slim2 is a thin FBI PIV and FBI Mobile ID certified FAP20 optical scanner. The Scanner features Large Platen that spans 16.5mm x 21.0mm wide, which is well above the FAP20 Standard that spans 15.2mm x 20.3mm.

BM-Slim2 provides advanced Live Finger Detection technology that distinguishes fake fingerprints made from various materials including clay, rubber, silicon, glue, paper, film and more

Easy Integration

  • BM-Slim2 SDK for easy application development
  • Android, MS Windows & Linux compatible
  • Multi-threaded code design for multi-core CPU utilization

Better performing fingerprint algorithm

  • Better results in NIST MINEX tests and FVC
  • NIST certified interoperable image & template format standards (ANSI-378/ISO 19794-2, ISO 19794-4)
  • Fast matching speed : 100,000 match / second (with Intel Core2Duo)

Features

  • Slim FAP 20 optical sensor
  • Multi Dynamic Range (MDR) technology
  • Operates under max 100,000 lux of direct sunlight
  • Advanced Live Fingerprint Detection (LFD) technology
  • FBI PIV and FBI Mobile ID FAP20 certificates
  • NIST certified interoperable image & template format standards (ANSI-378, ISO19794-2/4)
  • Image compression standard: WSQ
  • Live Fingerprint Detection (LFD) Technology
  • Distinguishes fake fingerprints made from various materials including clay, rubber, silicon, glue, paper, film and more
  • Easy Integration
  • BioMini SDK for easy application development
  • Android, MS Windows & Linux compatible
  • Multi-threaded code design for multi-core CPU utilization
  • Better performing fingerprint algorithm
  • Better results in NIST MINEX tests and FVC
  • NIST certified interoperable image & template format standards (ANSI-378/ISO 19794-2, ISO 19794-4)
  • Image Compression Standard (WSQ)
  • Fast matching speed : 100,000 match / second (with Intel Core2Duo)

Screenshots

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