AET62 NFC Reader with Fingerprint Sensor (Fingerprint READER)
The AET62 NFC Reader with Fingerprint Sensor brings a whole new level of security and flexibility to contactless applications. Combining ACS' ACR122U Near Field Communication (NFC) Reader and UPEK's swipe fingerprint sensor, it provides a secure and convenient platform that simplifies and makes the integration of secure biometric authentication more cost-effective. AET62 facilitates a simple and intuitive exchange of information, making it ideal for applications such as e-Payment, e-Government, e-Healthcare, access control and network security. With its ergonomic design, it enables hassle-free fingerprint and contactless card authentication for users.
APPLICATIONS:
e-Government
e-Banking and e-Payment
e-Healthcare
Public Key Infrastructure
Network Security
Access Control
FEATURES:
Integrated fingerprint scanner and 13.56 MHz contactless (RFID/NFC) smart card reader
Full-speed USB interface
Encrypted fingerprint template stored inside smart card
AET62 NFC Contactless smart card reader:
Compliant with PC/SC and CCID specifications
Read/write speed up to 424 kbps
Built-in antenna for contactless tag access, with reading distance of up to 30 mm (depending on tag type)
Supports ISO 14443 Type A and B, Mifare, FeliCa, and all 4 types of NFC (ISO/IEC 18092) tags
Supports new MiFare Ultralight C, Plus SL1 (4 Byte UID), Plus SL3, and DESFire EV1
Supports all 3 modes of NFC: reader, card emulation and peer-to-peer
Built-in anti-collision feature (only one tag can be accessed at any time)
ISO 7816 Compliant SAM Slot (Upon request)
Fingerprint scanner:
Match-on reader: Template extraction and matching algorithms run within the device itself, not in the PC (Using default fingerprint algorithm)
UPEK TCS4-TCD50 swipe fingerprint sensor
Swipe speed of up to 40 cm/sec (15 in/sec)
Active sensor size - 9.6 mm x 0.2 mm
High-resolution 508 DPI imaging, array size 192 x 4 pixels
Supports image optimization and filtering
Utilizes CMOS active capacitive pixel-sensing technology, resulting to high-quality fingerprint images in any environment
Compliant with BioAPI 1.1 specification and Windows Biometric Framework
Supports several fingerprint algorithms such as UPEK and Neurotechnology and other 3rd-Party Algorithms
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