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Feature · Product Review

Compumatic MultiBio v2 Biometric Fingerprint and Facial Recognition Time Clock System Package, Part# MultiBio_v2 filter for tools Encryption Standard: 3DESEncryption Standard: DESEncryption

Compumatic MultiBio v2 Biometric Fingerprint and Facial Recognition Time Clock System Package, Part# MultiBio_v2 filter for tools Encryption Standard: 3DESEncryption Standard: DESEncryptionThe advanced high featured Compumatic MultiBio v2 Biometric Fingerprint and Facial Recognition Time Clock System have hardware and new features offers the best technology for biometric time keeping systems. The MultiBio v2 uses dual HD camera technology with an industry leading FaceID algorithm to capture a 3D facial image map for fast and accurate biometric identification, and its infra red light source enables face identification in poorly lit

SKU: 20830857325 · From psychiatrist-in-kuwait.com

4.2
USD336.82 USD384.82

Pay in 4 interest-free payments of $84.20 Learn more

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Ships within 48 hours · Estimated delivery Aug 5 - Aug 10

Description

Encryption Standard: 3DESEncryption Standard: DESEncryption Standard: AES (128-bit)Encryption Standard: AES (192-bit)Encryption Standard: AES (256-bit)Encryption Standard: MD5Encryption Standard: SHA-1Features: IPSec NAT TraversalFeatures: NATFeatures: PATInterfaces/Ports

2 color line LED keys

Supports 24 to 26 AWG

Modern Round and Classic square

Built-in standard PoE (IEEE 802

Compumatic MultiBio v2 Biometric Fingerprint and Facial Recognition Time Clock System Package, Part# MultiBio_v2 filter for tools Encryption Standard: 3DESEncryption Standard: DESEncryptionThe advanced high featured Compumatic MultiBio v2 Biometric Fingerprint and Facial Recognition Time Clock System have hardware and new features offers the best technology for biometric time keeping systems. The MultiBio v2 uses dual HD camera technology with an industry leading FaceID algorithm to capture a 3D facial image map for fast and accurate biometric identification, and its infra red light source enables face identification in poorly lit

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