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Dear Colleague,
I’m pleased to report that Embedded Vision Alliance membership
continues to expand rapidly and now stands at 49 companies. Recent
additions include FotoNation, Intel, IRIDA Labs, QuEST Global,
Sarmotek, Seedonk and Tabula. Many of the new companies’ descriptions
can be found on the the Alliance membership page, with the others soon
to join them. Check
it out to see the diversity of hardware, software and service
suppliers available to assist you in solving your computer vision
challenges.
Preparations are now underway for the December quarterly
Alliance Member Meeting, which will take place later this week.
Although event attendance is restricted to Alliance member company
representatives and invited guests, we will publish many of the
presentations in video form on the Alliance website. Guest presenters
include Jianbo Shi from the University of Pennsylvania, sharing his
perspective on what’s needed for mass adoption of computer vision and
on university-industry collaboration, and Doug Johnston of Prism
Skylabs, explaining how his company is using vision to provide
retailers with actionable intelligence based on consumer behavior. Elif
Albuz of NVIDIA and Khronos will also provide an update on OpenVX and
other vision-relevant standards, and John Feland of Argus Insights will
deliver another in his series of market analysis reports.
Keep an eye on the Alliance website for this content in the
coming weeks; if you subscribe to the Alliance’s RSS feed
or social media channels on Twitter, LinkedIn,
Google+
and Facebook,
you’ll receive proactive publication notification. And while you’re on
the site, check out all the other great new content recently published
there, including three market research reports and eight press releases
from Alliance member companies in just the past four weeks. Thanks as
always for your support of the Embedded Vision Alliance, and for your
interest in and contributions to embedded vision technologies, products
and applications. Please don’t hesitate to let me know how the
Alliance can better serve your needs.
Brian Dipert
Editor-In-Chief, Embedded Vision Alliance
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“Better Image Understanding Through Better Sensor Understanding,” an Embedded Vision
Summit
Technical Presentation from Michael Tusch of Apical
Michael Tusch, Founder and CEO of Apical
Imaging, presents the “Better Image Understanding Through Better Sensor
Understanding” tutorial within the “Front-End Image Processing for
Vision Applications” technical session at the October 2013 Embedded
Vision Summit East. One of the main barriers to widespread use of
embedded vision is its reliability. For example, systems which detect
people some of the time, or which produce frequent false detections,
are of limited use. Why is it that algorithms which work well in the
lab don’t work so well in real-world conditions? Cameras perform a
great deal of image processing in order to make video look natural and
realistic. Often this leads to unpredictable variations in the input
data to embedded vision algorithms. Tusch shows that an understanding
of the specific image sensor characteristics coupled with information
gleaned by image processing methods, has a very significant impact on
accuracy of modern embedded vision algorithms in difficult visual
environments.
“The GPU’s Role in Vision Systems,” an
Embedded VIsion Alliance Member Meeting Presentation from Jon Peddie
Dr. Jon Peddie, President of Jon Peddie
Research, discusses general-purpose GPUs for embedded vision at the
December 2013 Embedded Vision Alliance Member Meeting.
More Videos
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Practical Computer Vision Enables Digital Signage with
Audience Perception
Signs that see and understand the actions
and characteristics of individuals in front of them can deliver
numerous benefits to advertisers and viewers alike. Such capabilities
were once only practical in research labs and niche applications. But
semiconductor price, performance, and power-consumption trends are now
making audience analytics, gesture interfaces, augmented reality, and
other features feasible for high-volume mainstream deployments. More
Embedded Vision Is Everywhere…If You Know Where To Look
Embedded vision can literally save your
life. But this sophisticated technology that marries embedded systems
and computer vision is just beginning to scratch the surface of its
true potential. In the algorithm-rich world of embedded vision, faces,
gestures and behaviors can be detected and interpreted by electronic
systems, and powerful microprocessors can combine with advanced machine
vision to make sense of images. Endowed with the gift of embedded
vision, newly sighted machines can perform astounding feats of visual
interpretation. More
More Articles
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Xilinx
Announces SDAccel Development Environment for OpenCL, C, and C++,
Delivering Up to 25X Better Performance/Watt to the Data Center
CogniVue and Fraunhofer Announce Smart
Microcamera using CogniVue
APEX ICP Technology, Freescale Image Cognition Processor
Scalable
PowerVR Series7 GPUs Target Applications From Wearables to
Servers, Reaching Teraflop Performance
IRIDA Labs Partners with CEVA to Offer Advanced
Computer Vision Algorithms for Ultra Low Power Devices Using CEVA-MM3101
Imaging & Vision DSP
TI
DLP High-Resolution Chipsets Expand 3D Printing, 3D
Machine Vision and Lithography Applications
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