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AuthenTec AES4000 (EntréPad)

Sample fingerprint scanner based on AES4000 sensor
AuthenTec AES4000 fingerprint sensor
Click to zoom


Sample fingerprint scanner based on AES4000 sensor
AuthenTec AES4000 fingerprint sensor
Click to zoom

AuthenTech AES4000 is a capacitive fingerprint sensor. The sensor has integrated USB connection and possibility to choose any other serial or parallel interface.

Sensor's manufacturer specifies that AES4000 is suitable for PC peripherals, notebooks and mobile devices. Sensor's surface coating is able to withstand more than 1 million touches.

Support modules for this sensor are included in MegaMatcher 4.3 SDK, MegaMatcher On Card 3.1 SDK, VeriFinger 6.5 SDK and Free Fingerprint Verification SDK.

Specifications

Sensor Name EntréPad AES4000
Manufacturer AuthenTec, Inc.
Connection USB or any other serial or parallel
Supported OS (*) Microsoft Windows (32-bit and 64-bit), Linux (32-bit)
Resolution 250 dpi
Image capture area (Platen size) 10 x 10 mm (0.4" x 0.4")
Fingerprint image size 96 x 96 pixels
Sensor type Capacitive
Sensor Size 20.0 x 20.0 x 1.5 mm (0.79" x 0.79" x 0.06")
Operating temperature -20°C ~ +70°C

* These operating systems are supported by Neurotechnology SDKs. Device manufacturers may have different lists of supported operating systems.

Neurotechnology Solution Partners use this sensor in

AuthenTec AES4000 sensors are used in UMV3 and UMV5 stand-alone devices for access and attendance control. These devices are developed by Grupo Milénio3 – a Neurotechnology Solution Partner.

Other AuthenTec sensors

Neurotechnology SDKs also include support modules for these AuthenTec sensors:

  • AES2550 – 500 dpi capacitive swipe sensor
  • AES2660 – 500 dpi capacitive swipe sensor
  • AES2810 – 500 dpi capacitive swipe sensor with on-chip hardware security module
  • AES2501B – 500 dpi capacitive swipe sensor, no longer manufactured
  • AF S2 – 250 dpi capacitive sensor, no longer manufactured

 

Products
AFIS or multi-biometric fingerprint, iris, face and voice identification for large-scale systems.
MegaMatcher

Face identification for PC or Web solutions.
VeriLook

Fingerprint identification for PC and Web solutions.
VeriFinger

Iris identification for PC and Web solutions.
VeriEye

Speaker recognition for PC or Web applications.
VeriSpeak

Object recognition for robotics and computer vision.
SentiSight

SDKs for mobile devices:

More products for developers:

End-user products:
  • NCheck Finger Attendance – an attendance control application that uses fingerprint biometrics to perform employee identification.
  • NVeiler Video Filter – a plug-in for VirtualDub that automatically detects faces in a frame, tracks the faces (or other objects) in subsequent frames and hides them.
 
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