Hello welcome to the IoT Developer Show.
My name is Martin Kronberg.
In this season of the show, we took a closer look
at the OpenVINO toolkit.
And in this final episode, I want
to talk about what's coming up in the next season
and recap some of the OpenVINO toolkit benefits
that we discussed.
The OpenVINO toolkit is a collection
of tools curated and optimized by Intel
to help you create AI-driven computer vision applications.
The toolkit contains a custom inference engine, OpenCV,
and a whole host of optimized libraries
to run on Intel architecture.
We showed a basic OpenVINO toolkit workflow,
including using Intel System Studio
2018 to create a heterogeneous compute environment
and V2 to analyze your code.
These tools and methods enable you
to create highly optimized AI computer vision applications.
Next, we took a look at two new developer kits
that have the OpenVINO toolkit pre-installed, The IEI
Tank, AIOT developer kit, and the Up Squared AI Vision
development kit.
With these, you're able to develop and deploy
your computer vision applications
in an industrial environment.
Finally, we showed some of the reference implementations
and sample code that Intel engineered
have created to help you get started creating your own AI
Vision applications.
If you missed any of the episodes,
want to learn more about these topics,
and see the OpenVINO toolkit in action, please follow links
provided.
In the next season, we begin our journey into all the reference
implementations that Intel has created
for developers in the industrial and retail space.
They include flaw protection, store monitoring,
and many others.
In season three of the show, we're
going to teach you how to speed up
development time for your retail and industrial IoT applications
by leveraging these implementations.
Thank you so much for watching and remember
you can download the OpenVINO toolkit free by following
the links provided.
See you next season.
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