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BAE Systems and Celoxica Unveil Biometrics and Real-Time Video Technology Demonstrators
Novel Approaches to Biometric Fingerprint Matching and
Real-Time Video Image Processing to Be Unveiled in San Diego
OXFORDSHIRE, England—(BUSINESS WIRE)—May 10, 2004—
BAE Systems plc and Celoxica Ltd. today announced plans for the
first public demonstration of safety and security applications, in the
Celoxica booth at the 41st Design Automation Conference in San Diego
from June 7-11.
The demonstrations, built with BAE Systems' LEARRNN(1) technology,
Celoxica's System FPGA design tools and RC series development
platforms, showcase the application of LEARRNN technology for the
emerging challenges of video surveillance and biometrics. Using
Celoxica's RC200 digital image and signal processing reconfigurable
development platform, both applications embody library elements for
users to implement video image processing and pattern-matching
functions frequently required in the two safety and security
applications. Customer solutions are delivered by the BAE Systems and
Celoxica partnership via their integrated design tools and Celoxica
professional consulting services.
The partnership's 'One to Many' fingerprint matching engine
provides a match result (identification) of a test fingerprint against
an enrolled database of up to 800 in less than 50ms, using the
standard CFMEF(2) fingerprint format and by fusing correlation and
minutia based matching techniques. A single matching node within the
demonstrator can hold many multiples of enrolled fingerprints locally,
and its design is deliberately scalable to accommodate very large
fingerprint databases by adding further matching nodes in parallel.
"LEARRNN is ideally suited to accelerating biometric
identification applications because it provides an economic, pure
logic correlation architecture," said Bob Flint, Director, Ventures,
BAE Systems. "Coupled with reconfigurable processing technology and
system level design techniques, LEARRNN enables a massive number of
matching processes to run in parallel with easy data fusion of the
results. This performance and scalability in a compact and portable
format carries many advantages and overcomes some of the current
issues associated with automatic fingerprint matching and analysis."
Using the LEARRNN technique all functions are built using a
combination of pure logic and memory and with custom design enabled
via the DK Design Suite, product-engineered implementations in silicon
are straightforward.
"With the global focus on authenticating people's identity,
biometrics is an important application area. It requires an order of
magnitude leap in performance if the goals of safe border control and
secure access to valuable resources and assets are to be realized,"
commented Tony Vitucci, VP of consulting for Celoxica. "By combining
our expertise, BAE Systems and Celoxica have developed a solution that
is applicable to many classes of pattern matching problems."
The second demonstrator shows noise removal on real-time video
using a 3x3 neural filter operator. The filter is capable of operation
at more than 100 MHz pixel clock frequency on a 752 x 582 (CIF+) pixel
input digitized video stream. This means it can deal with real-time
frame rates of 240 Hz at this resolution, or with a 1280 x 960 (e.g.,
HDTV) image at 60 Hz frame rate. A single filter provides a factor of
10 reduction in impulsive noise, and uses 150 LUT slices (30k gate
equivalents). The filter is easily cascaded or scaled to accommodate
larger or more complex operators.
The real-time video filter demonstration showcases another key
application area for BAE Systems and Celoxica in real-time signal and
video image processing, both in security and other markets demanding
high performance solutions such as broadcast, wireless mobile and
automotive safety.
"Fast image processing without the need for complex math and
extended design times is remarkable," Vitucci stated. "We help
customers implement object detection and tracking functions with a low
development overhead compared to traditional programming methods and
silicon architectures. We're making the difference by providing an
incredibly fast design path to implementation of pattern recognition,
fault/ difference detection and diagnosis/interpretation in
reconfigurable hardware."
All basic LEARRNN functions and building blocks are available as a
toolbox for MATLAB. Custom IP is designed using the DK Design Suite
and full system co-simulation is made easy by using Celoxica's
co-simulation technology for multiple concurrent simulations.
(1)LEARRNN = Logic Enabled Asynchronous Rapid Robust Neural
Network
(2)CFMEF = Common Fingerprint Minutiae Exchange Format
About BAE SYSTEMS
BAE SYSTEMS is an international company engaged in the
development, delivery and support of advanced defence and aerospace
systems in the air, on land, at sea and in space. The company designs,
manufactures and supports military aircraft, surface ships,
submarines, radar, avionics, communications, electronics and guided
weapon systems. It is a pioneer in technology with a heritage
stretching back hundreds of years. It is at the forefront of
innovation, working to develop the next generation of intelligent
defence systems.
BAE SYSTEMS has major operations across five continents and
customers in some 130 countries. The company has more than 90,000
people and generates annual sales of approximately GBP 12 billion
through its wholly owned and joint venture operations.
BAE SYSTEMS, Innovating for a safer world.
About Celoxica
An innovator in system-level electronic design automation (EDA),
Celoxica supplies the design technology, IP and services that define
Software-Compiled System Design, a methodology that exploits higher
levels of design abstraction to dramatically improve silicon design
productivity. Celoxica's products address hardware/software
partitioning, co-verification and C-based synthesis to reconfigurable
hardware. Established in 1996, Celoxica offers a proven route from
complex software algorithms to hardware, and provides an ideal design
environment for System FPGA with significant productivity advantages
for digital signal processing applications such as imaging, electronic
security and communications. For more information, visit
www.celoxica.com.
Celoxica, Handel-C and the Celoxica logo are trademarks of
Celoxica, Ltd. LEARRNN is a trademark of BAE Systems plc. All other
brand names and product names are the property of their respective
owners.
Contact:
Celoxica Ltd.
Jeff Jussel, 408-626-9070
jeff.jussel@celoxica.com
or
VitalCom PR
Karen Tyrrell, 650-366-8212 ext. 204
Karen@vitalcompr.com
or
BAE Systems,
Ventures
Dr. Ron Smith, +44-1252-385-147
ron.smith2@baesystems.com
or
Neesham PR
Allan Edwards, +44-1442-879-222
allane@neesham.co.uk
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