New Product Releases
Seeing Machines Limited
02 July 2007
2 July 2007
Seeing Machines Limited
('Seeing Machines' or the 'Company')
NEW PRODUCT RELEASES
Seeing Machines (AIM: SEE), a leading developer of advanced computer based
imaging software systems, announces the release of:
• faceLAB(R) 4.5 a new version of its flagship human performance
measurement product
• Driver State Senor (DSS) DSS 2.0 the second generation of its driver
monitoring system
These will be launched at the Driving Assessment Conference in Washington, 9-12
July.
faceLAB(R) 4.5
faceLAB(R) 4.5 introduces a new class of precision gaze tracking algorithms,
inspired by the development of the TrueField Analyzer, the company's
revolutionary new medical device. These algorithms dramatically enhance the
performance and accuracy of faceLAB(R) when used to track gaze direction on
computer and video screens, for instance, in applications such as website
usability analysis and market research.
The new 'precision mode' algorithms track the gaze direction of each eye in true
3D, and enable a 1-click setup (automatic initialization) for everyone,
including people wearing glasses. To reduce set-up time, tracking is performed
from a single camera platform without the need for additional light sources to
be placed around the screen. In addition, the volume of the tracking zone has
been more than doubled, to allow the subject more freedom of movement. The
accuracy of the head-tracking is also improved through the use of the precision
eye tracking data.
Traditional 'classic-mode' gaze tracking used in vehicle cockpit tracking has
also been improved with upgrades to the performance of the head-tracking
algorithm, which is now more stable and adaptive to changing conditions.
Nick Langdale-Smith, Director of Sales and Marketing at Seeing Machines said
'This version of faceLAB(R) delivers significant performance improvements
particularly for applications in the rapidly growing market segment of on screen
gaze tracking and will enable us and our distributors to pursue this market
aggressively.
We have chosen the Driving Assessment conference for the launch as it is a
fantastic forum to showcase these exciting new products to the key people in
transport safety who are a key customer group for both faceLAB(R) and the DSS.'
DSS2
The Driver State Sensor allows the fully automatic measurement of the driver's
fatigue level, and now also driver distraction. Estimates of the US based
National Highway Traffic and Safety Authority (NHTSA) show that 30%-40% of all
large truck crashes are related to driver fatigue, while a recent large scale
study at the Virginia Tech Transportation Institute showed that up to 80% of all
traffic accidents are related to driver distraction.
Nick Cerneaz, CEO of Seeing Machines, said: 'In addition to improving existing
driver fatigue functionality, the DSS2 release adds a number of new and
important features, including the fully automatic detection of driver
distraction and a new camera system with automotive specifications. This product
is now ideally suited for large scale driver behaviour studies and fleet
operator driver monitoring and awareness applications. Initial sales to partner
companies ahead of the formal launch have already been strong and we have also
signed a number of product evaluation agreements with automotive OEM companies.
This technology has a tremendous opportunity to make a significant dent in the
rate of serious crashes due to driver fatigue and distraction, and we are
excited about the prospects for the DSS2 in this regard.'
Trent Victor of Volvo Technology, and a director of Seeing Machines, has been
working with driving monitoring systems for over 10 years at Volvo, and said of
the DSS: 'This technology has redefined the state-of-the-art. Operating fully
automatically, the DSS2 achieves a level of performance previously unseen and
the technology now becomes a real contender for serial production systems.'
Further information about Seeing Machines and these products can be obtained
from the company website www.seeingmachines.com.
--- ENDS ---
Enquiries:
Seeing Machines Limited Insinger de Beaufort Parkgreen Communications
Nick Cerneaz, CEO Peter Ward Clare Irvine
+61 (0) 2 6125 6501 +44 (0) 20 7190 7015 +44 (0) 20 7851 7480
www.seeingmachines.com
Notes to editors:
About Seeing Machines
Seeing Machines is an award winning Technology Company which focuses on vision
based human machine interfaces. Formed in 2000 in Canberra, Australia, Seeing
Machines' purpose is to commercialise its computer-vision across a range of
industries and applications.
Seeing Machines deliver advanced computer vision solutions for researches and
developers in human factors, transportation safety, computer human interaction,
robotics, medical research and psychology. The flagship product faceLAB(R)
provides an automated and contact-free gaze and head tracking technology, it
solves the problem of observing human behaviour naturally, non-intrusively and
with a high degree of accuracy and usability. Building on these unique face
tracking and pupil measurement and monitoring capabilities, the TrueField
Analyzer(R) is a development undertaken by Seeing Machines in partnership with
colleagues from the Research School of Biological Sciences (RSBS) at the
Australian National University (ANU).
The TrueField Analyzer(R) offers a new objective method to help doctors diagnose
and manage a range of eye diseases including glaucoma, age related macular
degeneration and diabetic retinopathy. Glaucoma affects about 2-3% of the
population over 40 years of age and is a leading source of blindness. Unlike
most other devices available to the clinician the TrueField Analyzer is a
completely objective test and it is quick and easy for patients and technicians
alike. The device measures both eyes concurrently and due to the reliability
that arises from the objective nature of the test, it has the potential to
become a new standard in the measurement of visual field defects and thus in the
diagnosis and management of disease such as glaucoma.
More generally Seeing Machines' computer vision systems are able to measure the
orientation and position of a human head, estimate eye-gaze direction, detect
eye blinks and track other facial features. This functionality is achieved
entirely though visual means, using video cameras connected to advanced image
processing software, with no attachments required on the subject. Products such
as faceLAB(R) are designed to allow human factors researchers and designers to
assess the interaction of an operator in an environment and this finds
application in designing operator environments, such as cockpits for cars,
trucks, trains, and aeroplanes for instance, and other industrial design
applications, as well as medical and psychological research situations. The
technology also has application in monitoring automobile drivers and if it
detects drowsiness or that the driver is distracted and their attention has been
diverted from the road, an alarm can be raised to alert the driver to either
pull over and rest in the case of drowsiness or to pay more attention to the
road.
The systems work in real-time, enabling the behaviour of subjects to be tracked
in real-time. This technology is paving the way in promoting safer driving
conditions and works to enhance the driving experience and to eliminate
accidents caused through driver drowsiness or distraction.
There are many different sectors that can benefit from this revolutionary
software, for which it has been developed, including: automotive; academic
research; medicine/healthcare; defence; autostereoscopy (next generation
displays); sport; and games.
This information is provided by RNS
The company news service from the London Stock Exchange