Veriprox integrated Proximity Access Control w/Biometric Finger ID from The High Tech Store

Let the Access Control Revolution Begin!

1st Fingerprint and Proximity Reader combined for under $1000 Veriprox™
Integrated Proximity Reader with Fingerprint Verification

Eliminate any concerns about stolen, loaned or compromised proximity cards!

The Veriprox prevents unauthorized access via lost or stolen proximity cards by requiring that the fingerprint of the person seeking entry matches the identity of the card holder. This two-in-one solution combines Biometrics' MV1100, a self-contained fingerprint verification package about the size of a business card, with an embedded proximity card reader. The two technologies are housed together in a modern case that conforms to mullion mount standards. It is a stand-alone or network reader, that stores thousands of templates, performs verification and provides standard communication (Wiegand, RS232, RS485).

Fast, non-redundant enrollment
Suitable for both standalone and network use, the system eliminates the need to issue new cards because it works with existing proximity card infrastructures.

Real World Technology:
Its ability to recognize fingerprints in the face of adverse conditions like dirt makes the Veriprox useful for factories, plants, construction sites and similar environments that have previously been unable to implement biometric-based access solutions.

Lowers the cost per door!
The Veriprox dramatically lowers the cost per door for adding the convenience and security of fingerprint verification technology to access control systems. It's ideal for retrofitting existing systems, or simply adding a reliable biometric security technology to a location that requires heightened security.

Veriprox Packaging and features are compliant with the Americans with Disabilities Act.

Full Stand Alone Fingerprint Sensor Chip from leading manufacturer, DSP Board with patented fingerprint identification software, Proximity Card Reader, Communication Interface, all contained in a Mullion Mountable Case.

Veriprox Dimensions Length: 130 mm
Width: 50 mm
Depth:56 mm

Enrollment Time <1 second

Verification Time <1 second

True EER: Equal Error Rate 0.0005

Number of Templates 4500 per unit

Template Size 350 Bytes

Supply Voltage 5V @ 0.5 amps (peak)
5V @ 0.03 amps (idle)

Communication RS232, Wiegand, RS485

Fingerprint Sensor Technologies Supported Pigtail Wire Connection for RS232, RS485, Wiegand
OUT, Single Gang or Mullion Mountable

A Software Developer's Kit (SDK) is available for development of custom applications or for integration of a Veriprox network management interface into existing applications. A C++ DLL supports easy development in a Windows environment and our Low Level byte-packet commands support a wide range of other operating systems.

Intuitive user interface:
The red, green and amber LED signals used to permit and bar entry are based on standard proximity card feedback so that users do not have to learn a new system. The unit also utilizes a ridge lock that aids in proper finger placement for efficient processing.

Advanced fingerprint identification technology: The Veriprox's fingerprint identification mechanism is based on Biometric ID's patented Ridge Recognition™ technology, the industry-leading fingerprint verification algorithm stemming from 20 years of experience in designing systems for the U.S. Department of Defense. The patented algorithm computes a sophisticated data rich vector map of the fingerprint by adjusting for any distortion in the captured image with proprietary filtering techniques and then analyzing the unique ridge and valley pattern of the finger.

The filters applied in the process adjust for the effects of swollen, aged, dirty, scarred or cut fingers -the main pitfalls of minutia technology. The filters are adaptive to each image, allowing the process to be automatic. It is common that imaged fingers will have creases or be dirty, factors that hide the ridges of a fingerprint. To compensate, the algorithm performs a filtering step that enhances and frequently restores the ridges in the image. Once the filtering process is complete, the mathematical map is stored as a template and is then readily employable to precisely verify a fingerprint.

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