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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For more infomation >> Computer Vision Recap | IOT Developer Show | Season 2 | Intel Software - Duration: 2:00.-------------------------------------------
Software Engineering - Duration: 2:37.
At the moment, software is conquering the world.
We are moving toward a hyperconnected paradigm
in which information, data and software
can be found anywhere.
For instance, the concept of the smart city means that
we have a lot of devices,
and software can be in any of them.
And now software is going to be self-managed.
What does this mean?
Software will decide for itself what to do
and how to do it, when to send information, etc.
Without our help.
And this new paradigm creates opportunities
for our businesses.
They will be able to develop products
that couldn't be developed until now,
and they will be able to offer services
that couldn't be offered until now.
As you can see, our job isn't that simple.
We must understand, develop and maintain
many lines of code.
A line of code is an order we give to the processor.
The more orders we give,
the more complex and the bigger the software will be,
and the harder it will be to develop it and maintain it.
We are in contact with millions of lines of code every day.
For example, an elevator now has
half a million lines of code,
a car has 15 million, etc.
and they all have to be maintained.
To give you a better idea of what this means,
all Google services (Gmail, Google Maps, etc.)
have 2 billion lines of code.
If we printed all of them,
they would take up 36 million sheets of paper,
and if we piled them up, they would be 3.6 km high,
as tall as Mount Teide.
It seems as if our profession doesn't appeal much
to young people, and even less to women.
We're talking about a job without unemployment,
and the most important thing is that
our graduates have the opportunity to work in any area
of knowledge.
Making cars and elevators, or creating applications
for different sectors.
This is the biggest challenge for our businesses
to promote competitiveness:
to attract women and young people
to software engineering.
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