The
underlying problem presented an enormous technical challenge, made
even more difficult by severe cost and schedule constraints imposed
by Defence. Furthermore, whilst a previous project undertaken by RPDE
and industry had shown that it might be possible to construct a
system able to carry out air traffic pattern recognition and
matching, the requirement to do this in real time had proven too
difficult. By taking a highly innovative approach, applying ‘smart’
technologies and directing concurrent, collaborative development in
conjunction with other high-performance SMEs, C-E Solutions was able
to solve previously intractable problems. For example, in order to
deliver the supercomputer-class performance required to analyse the
data in real time, but within a personal computer-class budget, the
solution's core processing node used a cluster of
specially-configured Sony Playstation 3s.
Extending
the games console technology theme further, games development knowhow
was also applied to the problem, especially given that the many of
the underlying problems had strong parallels with technologies
already deployed within team console games and console games
delivering 3D playing environments.
The
resultant system, Horus, analyses air traffic radar and other sensor
data to 'learn' the patterns of aircraft behaviour across very large
volumes of airspace. Once 'trained' the system can automatically
identify flights that exhibit unusual or suspicious behaviour (for
example, the sort of unusual behaviour that presaged the “9/11”
terrorist strikes) and provide an alert to air traffic, or air
defence, operators.
Please
see the Horus product flyer for more information.
Horus
represents a product world first. The product incorporates a novel,
extremely polished and highly usable user interface. Horus not only
has immediate applications for Defence in a range of scenarios, but
is already drawing interest from the Air Traffic Control community,
both domestically and internationally.
However,
it’s application is not restricted to simply airspace data, but
could easily be applied to maritime tracks of vessel movements as
well, providing assistance for identification of activities such as
illegal immigration and smuggling, supporting many levels of border
protection. Its strength lies in processing large volumes of track
data, so could also be applied to problems relating to traffic
engineering, city planning, and identifying animal movement patterns
(for example on large stations or for biological research).