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293678636
MorphoAccess? SIGMA Lite incl. Mifare/Desfire/NFC Reader, provides 1:500 User Biometric Identification, Fake Finger Detection, 2.8″ LEDIndicator, Buzzer, IP65 Rated, FBI Certified IQS Optical Sensor
293678636

Engineered with the same attention to detail and performance as their predecessor, the MorphoAccess SIGMA Lite terminals are specifically designed to equip narrow mounting surfaces, such as glass/aluminum door mullions, turnstiles, or server rack doors.

With two designs and multiple card reader options, there are a variety of models to address the widest range of deployment scenarios, both indoors and outdoors.

FEATURES
  • World’s #1 fingerprint technology inside: 1:10,000 user identification in 1 second
  • High capacity: 30,000 templates, 250,000 IDs in authorized user list, 1 Million logs
  • Anti-fraud features: fake finger detection, duress finger, timed anti-pass back
  • Flexibility: Prox®, iClass® or MIFARE®/DESFire®/NFC contactless card reader as an option
  • Embedded web server
  • Tough design: IP65 rated and vandal resistant (IK08)
  • Compatible with Morpho and Bioscrypt existing installations

293673665
MorphoAccess? SIGMA Lite with Prox Card Reader provides 1:500 User Biometric Identification, Fake Finger Detection, 2.8″ LED Indicator,Buzzer, IP65 Rated, FBI Certified IQS Optical Sensor
293673665

Engineered with the same attention to detail and performance as their predecessor, the MorphoAccess SIGMA Lite terminals are specifically designed to equip narrow mounting surfaces, such as glass/aluminum door mullions, turnstiles, or server rack doors. With two designs and multiple card reader options, there are a variety of models to address the widest range of deployment scenarios, both indoors and outdoors

FEATURES
  • World’s #1 fingerprint technology inside: 1:10,000 user identification in 1 second
  • High capacity: 30,000 templates, 250,000 IDs in authorized user list, 1 Million logs
  • Anti-fraud features: fake finger detection, duress finger, timed anti-pass back
  • Flexibility: Prox®, iClass® or MIFARE®/DESFire®/NFC contactless card reader as an option
  • Embedded web server
  • Tough design: IP65 rated and vandal resistant (IK08)
  • Compatible with Morpho and Bioscrypt existing installations3

293678628
MorphoAccess? SIGMA Lite with iClass Card Reader provides 1:500 User Biometric Identification, Fake Finger Detection, 2.8″ LED Indicator,Buzzer, IP65 Rated, FBI Certified IQS Optical Sensor
293678628

Engineered with the same attention to detail and performance as their predecessor, the MorphoAccess SIGMA Lite terminals are specifically designed to equip narrow mounting surfaces, such as glass/aluminum door mullions, turnstiles, or server rack doors.

With two designs and multiple card reader options, there are a variety of models to address the widest range of deployment scenarios, both indoors and outdoors.

FEATURES
  • World’s #1 fingerprint technology inside: 1:10,000 user identification in 1 second
  • High capacity: 30,000 templates, 250,000 IDs in authorized user list, 1 Million logs
  • Anti-fraud features: fake finger detection, duress finger, timed anti-pass back
  • Flexibility: Prox®, iClass® or MIFARE®/DESFire®/NFC contactless card reader as an option
  • Embedded web server
  • Tough design: IP65 rated and vandal resistant (IK08)
  • Compatible with Morpho and Bioscrypt existing installations

293678615
MorphoAccess? SIGMA Lite provides 1:500 User Biometric Identification (2 Finger + 1 Duress), Fake Finger Detection, 2.8″ LED Indicator,Buzzer, IP65 Rated and FBI Certified IQS Optical Senson
293678615

Engineered with the same attention to detail and performance as their predecessor, the MorphoAccess SIGMA Lite terminals are specifically designed to equip narrow mounting surfaces, such as glass/aluminum door mullions, turnstiles, or server rack doors. With two designs and multiple card reader options, there are a variety of models to address the widest range of deployment scenarios, both indoors and outdoors

FEATURES
  • World’s #1 fingerprint technology inside: 1:10,000 user identification in 1 second