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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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About Neurotechnology
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.
Biometrics
With a combination of fast algorithms and
high reliability, Neurotechnology's fingerprint and face biometric technologies can be used for access
control, computer security, banking, time attendance control and law
enforcement applications, among others.
Neurotechnology's fingerprint
identification algorithm has shown one of the best results for reliability
in several biometric competitions, including the International Fingerprint
Verification Competition (FVC2006, FVC2004, FVC2002 and FVC2000) and the
National Institute of Standards & Technology (NIST) Fingerprint Vendor
Technology Evaluation for the US Department of Justice (FpVTE 2003), where
Neurotechnology ranked among the top five companies for accuracy in
single-finger tests.
AI and Robotics
In 2004 Neurotechnology began research in
artificial intelligence (AI) and mobile autonomous robotics fields, and in the
same year the company's AI division was founded. The division's first product, SentiSight
computer-based vision and object recognition technology, can be used in a
variety of applications including image search engines, security systems,
manufacturing and robot and machine vision.
Products Overview
VeriFinger 6.0 - PC-based Fingerprint Identification Algorithm
VeriFinger Software Development Kit (SDK):
In 1998 Neurotechnology developed VeriFinger, a
fingerprint identification algorithm, designed for biometric system
integrators. Since that time, the company has released 12 algorithm versions,
with the current version, VeriFinger 6.0, providing the most powerful
fingerprint recognition algorithms to date.
VeriFinger SDK is offered for a
competitive price and developers can select from these types of SDK:
• VeriFinger 6.0 Standard SDK is intended for
PC-based biometrical application development. It includes Matcher and Extractor
components, programming samples and tutorials, fingerprint scanner drivers and
software documentation. The SDK allows the development of biometric
applications for Microsoft Windows, Linux or Mac OS X operating systems.
• VeriFinger 6.0 Extended SDK is intended for
biometrical Web-based and network application development. It includes all
features of Standard SDK. Additionally, the SDK contains sample client applications,
tutorials and a ready-to-use matching server.
FingerCell 2.1 - Embedded Fingerprint Identfication Algorithm
FingerCell Embedded Development Kit (EDK)
is based on the FingerCell
embedded fingerprint recognition algorithm that is especially designed to
be used in embedded low-power and comparably low-CPU-power applications.
FingerCell EDK includes libraries for ARM Linux and ARM Windows CE embedded
platforms, as well as drivers for embedded sensors and source codes for sample
applications.
Customers who want to use another platform
can obtain the FingerCell ANSI C source code package and port the software to
the required platform.
The following
types of FingerCell 2.1 EDK are available:
• FingerCell
2.1 Library EDK – is intended for biometric
system projects using hardware based on ARM processors. Includes FingerCell
library, programming samples and documentation for Windows CE and Linux.
• FingerCell
2.1 source code EDK – is intended for large
biometric system projects using third party or custom hardware. Includes
FingerCell source code, samples and documentation for MS Windows CE and Linux.
VeriLook 3.2 - PC-based Face Identification Algorithm
The VeriLook technology is
intended for facial recognition system integrators. VeriLook offers fast
reliable identification with live face detection and the ability of multiple
face processing in a single frame.
VeriLook 3.2 SDK is camera independent,
webcam capable and offers a set of programming samples and tutorials written in
major programming languages. These types of SDK are available:
• VeriLook 3.2 Standard SDK is intended for
PC-based biometrical application development. It includes Matcher and Extractor
components, programming samples and tutorials, camera manager software and
software documentation. The SDK allows the development of biometric
applications for Microsoft Windows, Linux or Mac OS X operating systems.
• VeriLook 3.2 Extended SDK is intended for
biometrical Web-based and network application development. It includes all
features of Standard SDK. Additionally, the SDK contains sample client
applications, tutorials and a ready-to-use matching server.
FaceCell 1.1 - Embedded Face Identification Algorithm
FaceCell
algorithm is designed for embedded biometric systems developers. The algorithm
has certain capabilities:
FaceCell 1.1 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.
The following types of EDK are available:
• FaceCell 1.1 Library EDK is intended for
biometric system projects using hardware based on ARM processors. You can download trial
version of FaceCell 1.1 Library EDK to try it on your hardware. Read more¡¦
• FaceCell 1.1 source code EDK is intended
for large biometric system projects using third party or custom hardware. It
includes FaceCell 1.1 source code, samples and documentation for MS Windows CE
and Linux. Read more¡¦
MegaMatcher 2.1 - Multi-biometrical Technology
MegaMatcher includes facial and fingerprint
recognition engines and allows to use the new fused algorithm for fast and
reliable identification in large-scale systems. Face or fingerprint
identification algorithms can be used alone to develop an automated facial
identification system or an AFIS respectively. Both biometrical software
engines contain many proprietary algorithmic solutions, which are especially
useful for large-scale identification problems. These solutions were specially
developed for MegaMatcher, and some were inherited from the VeriFinger and VeriLook algorithms.
Some of these solutions are listed below for each biometrical identification
engine.
MegaMatcher 2.1 SDK is
based on MegaMatcher algorithm. These types of MegaMatcher 2.1 SDK are
available:
• MegaMatcher 2.1 Standard SDK for developing
a client/server based multi-biometric face-fingerprint identification product.
• MegaMatcher 2.1 Extended SDK for developing
a large-scale cluster-based AFIS or multi-biometric identification product.
30 day trial
versions of MegaMatcher 2.1 Standard SDK and Extended SDK are available for downloading.
Template Management and Conversion Add-on
The Template Management and Conversion
Add-on includes these components:
• Template Management Components.
These
components are intended to manipulate MegaMatcher templates extracted from
images or converted from templates of supported standards. Conversion between
VeriFinger, FingerCell and MegaMatcher templates is also supported.
• Template Conversion Components.
These
components are intended for biometric data interchange between MegaMatcher
templates or VeriFinger/FingerCell templates and standard templates. The
supported standards are:
° ANSI/INCITS 378-2004 (Finger Minutiae
Format for Data Interchange);
° ANSI/NIST-ITL 1-2000 (Data Format for the
Interchange of Fingerprint, Facial, & Scar Mark & Tattoo (SMT)
Information);
° ISO/IEC 19794-2 (Fingerprint minutiae
data).
These components can be used from C/C++ and
C# applications.
Smartcard Finger-Match Add-on
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. The
add-on is developed utilizing a set of ISO/IEC standards to enable
interoperability with and easy integration into existing smart card and/or
biometrical systems.
The Smartcard Finger-Match Add-on available
in two versions:
• Standard version includes PC-side software
and 3 smartcards (NXP JCOP 31 v2.2/36K) with preloaded fingerprint matching
engine. The Java code of the engine is not included in this version. Additional
smartcards with preloaded engine are also available.
• Java code version includes PC-side
software, compiled Java code of fingerprint matching engine that can be loaded
into smartcards by an integrator, and 20,000 engine licenses for smartcards.
Additional fingerprint matching engine licenses for smartcards are also
available.
Smartcard Face-Match Add-on
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. The
add-on is developed utilizing a set of ISO/IEC standards to enable easy integration
into existing smart card and/or biometrical systems.
The Smartcard Face-Match Add-on available
in two versions:
• Standard version includes PC-side software
and 3 smartcards (NXP JCOP 31 v2.2/36K) with preloaded face matching engine.
The Java code of the engine is not included in this version. Additional smartcards
with preloaded engine are also available.
• Java code version includes PC-side
software, compiled Java code of face matching engine that can be loaded into
smartcards by an integrator, and 20,000 engine licenses for smartcards.
Additional face matching engine licenses for smartcards are also available.
VeriEye 2.0 - Iris Identification Algorithm
VeriEye SDK is based on the VeriEye iris
recognition technology and is intended for biometric systems developers and
integrators. It allows rapid development of biometric applications using
functionality from the VeriEye algorithm, which ensures high reliability of the
iris identification,1:1
and 1:N matching modes and comparison speeds of up to 150,000 irises per
second. VeriEye can be easily integrated into the customer's security system.
The integrator has complete control over SDK data input and output.
VeriEye SDK supports Microsoft Windows,
Linux and Mac OS X. The following types of SDK are available:
• VeriEye 2.0 Standard SDK is intended for
PC-based biometrical application development. It includes Matcher and Extractor
components, programming samples, tutorials and software documentation.
• VeriEye 2.0 Extended SDK is intended for
biometrical web-based and network application development. It includes all
features of Standard SDK. Additionally, the SDK contains sample client
applications, tutorials and a ready-to-use matching server.
SentiSight 1.1 - Object Recognition Technology
Sentisight object
recognition technology enables the learning of objects and searching for
learned objects in images from almost any camera, webcam, still picture or live
video. The technology has these features:
• Universal. The SentiSight algorithm is
designed to be as universal as possible. It can support web cameras,
surveillance cameras and can input images from the picture. It is tolerant to
object scale, rotation, pose etc.
• Fast. SentiSight can process video streams
in real time, so it can be used for real-time applications.
• Webcam capable. Though high quality cameras
will provide better recognition quality, a simple webcam is enough for
SentiSight operation.
SentiSight 1.1 algorithm demo application
is available for downloading.
Read more about the
technology.
SentiSight 1.1 SDK
is based on SentiSight object recognition technology and is intended for
developers who want to use computer vision-based object recognition in their
applications. SentiSight 1.1 SDK enables fully automatic and manual object
learning as well as simultaneous multiple object detection and recognition in
an easy, yet versatile, way.
SentiSight 1.1 SDK supports Microsoft
Windows operating system. You can download trial
version of SentiSight 1.1 SDK to try it for creating your system. Read more¡¦
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