Smart video is pushing the boundaries
of what industries can do by providing critical insights not
able to be seen by humans alone.
So how can you learn more about smart video
and how it works to take advantage of its growing
demand?
I'm Stephanie Essin, and you'll find out in this IDZ Weekly.
By using deep learning to process hours and hours
of video data, industries like digital security,
retail, smart cities, and even manufacturing
can maintain a competitive edge.
Intel has introduced the OpenVINO toolkit
to help accelerate development of deep learning inference
applications.
It's a convolutional neural network-based tool
to develop applications and solutions that
emulate human vision with the support
of heterogeneous execution across different hardware
platforms, perfect for smart video use cases.
If you don't know much about the OpenVINO toolkit,
Intel has an online workshop that
offers tutorials and labs focused on different aspects
to accelerate the development of deep learning applications.
This Smart Video Workshop featuring the OpenVINO toolkit
is aimed at engineers, researchers, and software
developers who develop computer vision and machine learning
applications and want to benefit from transparent hardware
acceleration.
The workshop will cover Intel computer vision technology,
including the OpenVINO toolkit, a wide range of common software
frameworks, such as TensorFlow, Caffe, and MXNet,
how to accelerate computer vision applications,
performance optimization techniques with hardware
acceleration for platforms.
And finally, you'll learn to leverage reference
implementations for rapidly developing end
to end solutions for today's use cases.
To take the workshop to develop your own smart video
application, check out the links.
See you next Monday.
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