New Intel Vision Accelerator Solutions Speed Deep Learning and Artificial Intelligence on Edge Devices
October 10 2018 - 8:00AM
Business Wire
What’s New: Today, Intel unveiled its family
of Intel® Vision Accelerator Design Products targeted at
artificial intelligence (AI) inference and analytics performance on
edge devices, where data originates and is acted upon. The new
acceleration solutions come in two forms: one that features an
array of Intel® Movidius™ vision processors and one built
on the high-performance Intel® Arria® 10 FPGA. The accelerator
solutions build on the OpenVINO™ software toolkit that
provides developers with improved neural network performance on a
variety of Intel products and helps them further unlock
cost-effective, real-time image analysis and intelligence within
their Internet of Things (IoT) devices.
“Until recently, businesses have been
struggling to implement deep learning technology. For
transportation, smart cities, healthcare, retail and manufacturing
industries, it takes specialized expertise, a broad range of form
factors and scalable solutions to make this happen. Intel’s Vision
Accelerator Design Products now offer businesses choice and
flexibility to easily and affordably accelerate AI at the
edge to drive real-time insights.”– Jonathan Ballon, Intel
vice president and general manager, Internet of Things Group
Why This Is Important: The need for intelligence on
edge devices has never been greater. As deep learning approaches
rapidly replace more traditional computer vision techniques,
businesses can unlock rich data from digital video. With Intel
Vision Accelerator Design Products, businesses can implement
vision-based AI systems to collect and analyze data right on edge
devices for real-time decision-making. Advanced edge computing
capabilities help cut costs, drive new revenue streams and improve
services.
What This Delivers: Combined with Intel Vision
products such as Intel CPUs with integrated graphics, these new
edge accelerator cards allow businesses the choice and flexibility
of price, power and performance to meet specific requirements from
camera to cloud. Intel’s Vision Accelerator Design Products will
build upon growing industry adoption for the OpenVINO
toolkit:
- Manufacturing: The
Chongqing Refine-Yumei Die Casting Co. Ltd.* aluminum alloy
die-casting factories increased its automatic
defect-detection accuracy by five times over manual
detection.1
- Smart, Safe Cities: With
the OpenVINO toolkit, stadium security provider AxxonSoft* used
existing installed-base hardware to achieve 9.6 times the
performance on standard Intel® Core™ i7 processors and 3.1 times
the performance on Intel® Xeon® Scalable
processors in order to ensure the safety of 2 million visitors to
the FIFA 2018 World Cup.*
Who Uses This: Leading companies such as Dell*,
Honeywell* and QNAP* are planning products based on Intel Vision
Accelerator Designs. Additional partners and customers, from
equipment builders, solution developers and cloud service providers
support these products.
How This Works: Intel Vision Accelerator Design
Products work by offloading AI inference workloads to purpose-built
accelerator cards that feature either an array of Intel Movidius
Vision Processing Units, or a high-performance Intel Arria 10 FPGA.
Deep learning inference accelerators scale to the needs of
businesses using Intel Vision solutions, whether they are adopting
deep learning AI applications in the data center, in on-premise
servers or inside edge devices. With the OpenVINO toolkit,
developers can easily extend their investment in deep learning
inference applications on Intel CPUs and integrated GPUs to these
new accelerator designs, saving time and money.
More Context: Intel’s Vision Accelerator Design
Products Customer Quotes | Video | Infographic
1Automated product quality data collected by Yumei using JWIPC®
model IX7, ruggedized, fan-less edge compute node/industrial PC
running an Intel® Core™ i7 CPU with integrated on die GPU and
OpenVINO SDK. 16GB of system memory, connected to a 5MP POE Basler*
Camera model acA 1920-40gc. Together these components, along with
the Intel developed computer vision and deep learning algorithms,
provide Yumei factory workers information on product defects near
real-time (within 100 milliseconds). Sample size >100,000
production units collected over 6 months in 2018.
About Intel
Intel (NASDAQ: INTC) expands the boundaries of technology to
make the most amazing experiences possible. Information about Intel
can be found at newsroom.intel.com and intel.com.
Intel and the Intel logo are trademarks of Intel Corporation in
the United States and other countries.
*Other names and brands may be claimed as the property of
others.
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version on businesswire.com: https://www.businesswire.com/news/home/20181010005352/en/
Intel CorporationMichelle Newburgh,
408-765-3225michelle.b.newburgh@intel.com
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