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Hello my name is Chirag Shah.
I'm a principal program manager with the
Windows IoT team
and I'm here today to speak to you about
Azure IoT edge for Linux on Windows,
also known as EFLOW. Customers choose
Windows
and they have for decades because of the
robust user experience.
From HMI devices to robots,
to PLC's, Windows powers much of the
critical infrastructure for industrial
solutions today.
They want the extensive app ecosystem
that exists around Windows.
They want the security that it provides,
both for updates
and patches, as well as for ensuring that
your information
is secured on the device. They want the
ease of administration
of knowing a system that their IT
admins are very familiar with.
And being able to have 10 years of
world-class support,
are important aspects of why customers
choose Windows.
But customers also look at Linux and
traditionally this has been a choice
customers have to make do they want
Windows or do they want Linux.
With Azure IoT Edge for Linux on Windows
customers no longer have to make that
choice.
We bring the best of Windows and the
best of Linux together
in one Windows device. Tt's simple to
deploy
easy to manage solution that works with
your existing IT infrastructure around
Windows today.
Customers get to continue to use their
Windows application investments
and continue to leverage the existing
hardware they have today in being able
to run these additional workloads
and you get access to Azure with ease of
connectivity
the ability to run cloud native Linux
workloads
on Windows, without having to have a
Linux team and this solution
allows you to have a broad set of AI
modules and other capabilities
to innovate and drive your industrial
environments forward.
Some of these solutions are things like
anomaly detection.
Being able to detect if they're failures
in bearings or other
abnormalities that are happening in your
environment. Being able to use
industry protocols such as OPC or modbus
in your environment.
These are all capabilities that you can
leverage today with EFLOW
and these solutions are what are going
to enable you to do things like
predictive maintenance,
being able to look at a single dashboard
of your entire environment and being
able to see the health of your entire
factory operations and the interaction
between those devices.
As well as being able to look at things,
like leveraging the compute resources
that exist across your entire
infrastructure and being able to use
them efficiently.
So let's take an example of what this
looks like in this case we have
a simple production line that's sorting
fruit.
It's looking at the weight of the fruit
and deciding if items go into bin one
or bin two.
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The challenge with an environment like
this, is that because it's based simply
on weight
you run into a situation where what if i
have a piece of fruit
that weighs an abnormal amount than the
other fruit that i've normally been
measuring.
In this case I have a small apple which
would go into the smaller
hair bin instead of being in with my
apples. I would fix this solution
by adding computer vision so in this
case we've added computer vision into
the solution
it goes detects the fruit and determine
if it's an apple or pear
and sort it appropriately. This works
well.
The challenge with the solution like
this is that it's complex
to deploy and complex to manage normally.
I'm going to have to have an AI model in
addition to the camera that I installed.
I have to add some compute resources and
have a Linux environment
that I'm going to have to manage and
maintain as well this requires more
staff.
This requires more activity to deploy
the solution into my production line
and it's overall not necessarily
something I want to take advantage of if
this is my only choice.
Instead what if I could do something
where I could leverage my existing
resources?
What if I could put the entire solution
on my existing HMI
with EFLOW you can you can take that AI
model
and place it onto your existing HMI you
can reuse your existing Windows
investments.
Your existing IT infrastructure that's
already familiar with Windows
and run the Linux workloads on the HMI
without having to have a Linux
administration cost or complexity to do
so
EFLOW allows you to take the advantages
of both Windows
and Linux and bring them together into
the same device.
EFLOW is available today and so if you're
a device operator
you can get started by asking your
equipment manufacturers to provide you
EFLOW capable hardware today.
If you are an equipment manufacturer and
you're building devices for industrial
environments go ahead and start looking
at how to enable EFLOW on your products
by following the link on the screen.
EFLOW is in public preview now and will
GA later this year.
Thank you for your time.