Omron 2009 Annual Report Download - page 29

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27
Mr. Sogo This technology is something we can be
proud of. The high-speed and consistently accurate
face recognition we have achieved is the result of
examining a massive amount of facial data and devel-
oping very specific high-performance technology. The
face recognition algorithm was developed based on
an image database of more than five million faces col-
lected over more than a decade.
More Accurate Than Subjective Judgment
—— Are the devices more accurate than the human
eye?
Mr. Ohashi The same standards are used to meas-
ure every smile, which enables a more objective and
quantitative evaluation than the human eye is usually
capable of, particularly for complicated smiles. For
example, in terms of the capability to determine gen-
der and age, people often have some difficulty
discerning if a person is in their 20s or 30s. However,
a device programmed to identify a person’s sex and
age estimates whether the subject is male or female
and young or old without subjective parameters. The
devices can process a higher volume of data faster
and produce assessments more accurately than a per-
son can.
Half of Annual Sales Target Achieved in the First
Quarter
—— What has been the reaction to Smile Scan?
Mr. Ogawa The first use of Smile Scan was by med-
ical staffs in a hospital that wanted to harness the
effect the smiling faces of doctors and nurses to
increase patient satisfaction. Recently, we are receiv-
ing increasing interest from the restaurant industry.
In terms of volume, we think sales are off to a good
start. Our target was to sell 100 units in this first year,
and we have already sold 50 units in the first quarter
(of fiscal 2009). This is a product that will find an
increasing number of applications, and we see it as
an elemental entry product for developing our solu-
tions business. We are considering developing a
higher-grade model in response to media attention
as well as to the spontaneous emergence of poten-
tial applications.
Smile Scan utilizes a specially programmed
sensor to capture an image of a person’s
face and automatically gauges the degree
of their smile from zero to 100%.
Smile Scan
Small analog camera
Sensor unit
3D Face Model Fitting Result
Simultaneous analysis of
smiles for multiple people
is also possible.
Model Fitting
Mouth closure
・
・
・
Mouth corner shape
Wrinkle shape
Eye closure
Eye corner shape
Real-time Smile Measurement Technology
Integrated Inference
10%
50%
100%