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Bruce & Brian Co., Ltd. has signed Distributor
Agreement with Neurotechnology, Ltd., a worldwide leading provider
of software identification technology, which allows solely to cover
South Korea with all the Neurotechnology, Ltd.'s software identification
products.
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Neurotechnology provides algorithms and
software development products for biometric fingerprint and face recognition,
computer-based vision and object recognition to security companies, system
integrators and hardware manufacturers. More than 1,900 system integrators and
sensor providers in more than 60 countries license and integrate
Neurotechnology's technology into their own products.
Drawing from years of academic research in
the fields of neuroinformatics, image processing and pattern recognition,
Neurotechnology was founded in 1990 inVilnius,
Lithuania and
released its first fingerprint identification system in 1991. Since that time
Neurotechnology has released more than 40 products and version upgrades for both
identification and verification of objects and personal identity.
| Large-scale AFIS and multi-biometric identification
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• MegaMatcher: MegaMatcher
technology is intended for large-scale AFIS and multi-biometric systems
developers. The technology ensures high reliability and speed of biometric
identification even when using large databases. For more information, please click here.
• MegaMatcher Accelerator: MegaMatcher Accelerator 2.0 is a biometric
solution for fast fingerprint matching on server-side part of a large-scale
AFIS. The MegaMatcher Accelerator 2.0 is available in two versions. For more information, please click here.
• MegaMatcher Palm Print Add-on: MegaMatcher Palm Print Add-on allows to
integrate palm print template extraction and matching into biometric systems
based on MegaMatcher SDK. For more information, please click here.
• SmartCard Finger-Match Add-on For VeriFinger and MegaMatcher: The Smartcard Finger-Match Add-On allows to
integrate storage and verification of fingerprint templates on a JavaCard to
existing biometric systems based on VeriFinger SDK or MegaMatcher SDK. For more information, please click here.
• SmartCard Face-Match Add-on For VeriLook and MegaMatcher: The Smartcard Face-Match Add-On allows
developers to integrate storage and verification of face templates on a
JavaCard with existing biometric systems based on VeriLook SDK or MegaMatcher SDK. For more information, please click here.
| Fingerprint Identification
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• VeriFinger for PC and Web solutions: VeriFinger is a
fingerprint identification technology intended for biometric systems developers
and integrators. The technology assures system performance with fast, reliable
fingerprint matching in 1-to-1 and 1-to-many modes. For more information, please click here.
• FingerCell for Embedded solutions: FingerCell
technology is compact, sensor-independent and cross-platform. It offers
decent reliability and identification speed for various mobile or embedded
devices. For more information, please click here.
• Biometric Standards Support Add-on for VeriFinger: The BSS Add-on allows to integrate
support for fingerprint template and image format standards and additional
image formats with existing biometric systems based on VeriFinger SDK. For more information, please click here.
• SmartCard Finger-Match Add-on For VeriFinger and MegaMatcher: The Smartcard Finger-Match Add-On allows to
integrate storage and verification of fingerprint templates on a JavaCard to
existing biometric systems based on VeriFinger SDK or MegaMatcher SDK. For more information, please click here.
• VeriLook for PC and Web solutions: VeriLook facial
identification technology is intended for biometric systems developers and
integrators. The technology assures system performance and reliability with
live face detection, simultaneous multiple face recognition and fast face
matching in 1-to-1 and 1-to-many modes. For more information, please click here.
• VeriLook Surveillance: VeriLook Surveillance SDK is a software development kit
intended for biometric systems developers. The kit allows to create software
for performing biometric face identification using live video streams from
high-resolution digital surveillance cameras. List of possible uses includes
law enforcement, security, attendance control, visitor counting and other
commercial applications. For more information, please click here.
• FaceCell for Embedded solutions: FaceCell EDK is based on the
FaceCell technology, and is intended for embedded biometric systems developers
and integrators. The EDK includes libraries for major operating systems and
embedded platforms, and programming sample applications with source codes. The
FaceCell ANSI C source code package could be also obtained to port the software
to another platforms. For more information, please click here.
• Biometric Standards Support Add-on for VeriLook: The BSS
add-on allows to integrate support for facial image format standards and
additional image formats with existing biometric systems based on VeriLook SDK. For more information, please click here.
• SmartCard Face-Match Add-on For VeriLook and MegaMatcher: The Smartcard Face-Match Add-On allows
developers to integrate storage and verification of face templates on a
JavaCard with existing biometric systems based on VeriLook SDK or MegaMatcher SDK. For more information, please click here.
• VeriEye for PC and Web solutions: VeriEye iris
identification technology is intended for biometric systems developers and
integrators. VeriEye is
available as a software development kit that allows development of PC- and
Web-based solutions on Microsoft Windows, Linux and Mac OS X platforms. For more information, please click here.
• Biometric Standards Support Add-on for VeriEye: Biometric Standards Support (BSS) Add-on For VeriEye SDK
allows to integrate support for iris image format standards and additional
image formats with existing biometric systems based on VeriEye SDK. For more information, please click here.
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Object recognition for robotics and computer vision
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• SentiSight: SentiSight is
intended for developers who want to use computer vision-based object recognition
in their applications. It enables manual and fully automatic object learning,
and searching for learned objects in images from almost any camera, webcam,
still picture or live video in an easy, yet versatile, way.
For more information, please click here.
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