Omron 2016 Annual Report Download - page 38

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Today, our technology development work looks
ahead to the year 2030. Our major fields of focus
are in manufacturing, healthcare, and mobility. By
operating a multiple number of businesses, we
have created a large storehouse of technologies
across a variety of specialty fields. Cross-
organizational initiatives between and among our
business divisions generates amazing technology
and application synergies. Allow me to introduce
some specific examples.
　At Omron, we have an initiative to redesign
production by combining manufacturing and
healthcare technologies. Under this project, we
are working to integrate manufacturing technology
and expertise with biological information sensing
technologies from our healthcare business.
The integration of these technologies allows
manufacturing equipment to sense the health
and movement of their human partners, providing
appropriate controls in response. In this way, we
provide an environment in which humans can
work safely and efficiently in harmony with robots.
Through systems like this, we can eliminate human
error (careless mistakes, unplanned production
stoppages, etc.) and offer greater efficiency for
production activities.
　Another initiative is our work in developing
new technologies in the growing field of driver
assistance and sensing. During fiscal 2016, we
developed an on-board sensor equipped with
technology that senses the degree of driver
concentration and determines whether the driver
is capable of safely operating the vehicle*1. This
system combines first-of-its kind image sensing
technology with leading-edge AI technology
(time-series deep learning*2). Integrating biological
information sensing technologies from our
healthcare business will allow us to go even
further in sensing detailed information about
a driver’
s state of health and consciousness.
Omron will continue to conceive and develop
new technologies in the large and growing field of
automated driving.
　Look for even more innovations from Omron in
the future, as we continue to integrate expertise
and technology to create new and surprising value.
3. Creating Value for Our Future
■
Cross-Organizational Initiatives
*1 Related news release:
http://www.omron.com/media/press/2016/06/c0606.html
*2 Time-series deep learning: A type of deep learning technology. In general, deep
learning technology has demonstrated extremely high performance in
recognizing static images, while experiencing degraded performance in
recognizing time-series events. Omron has successfully introduced
independent improvements to Recurrent Neural Network technology, a
mechanism that retains past information internally. This modified technology is
capable of detecting the status of a driver and other time-series information
with high precision.
Industrial Automation
Business Healthcare Business Automotive Electronic
Components Business
Driver assistance and sensing
with high precision
HealthcareManufacturing Mobility
Eliminate human error from
the production floor
36 OMRON Corporation