Hi everyone,
my name is Thomas and I'm the General
Manager for North America at Deepomatic.
And I'm Jimmy Gagnon,
Customer Success Manager for IQGeo.
And what we're going to show you today is how you can
use the computer vision technology from Deepomatic
to automatically validate the quality of work being
performed on the field and enable self-validation.
And so what you're seeing here on the screen is
first of all the Workflow Manager tool from IQGeo,
which is a ticketing system.
And you can see all the job I have been
attributed to as a technician on the field.
And when I open the detail of the job,
you can see that I have a specific button available
to start the validation process through Deepomatic.
That setup can be replicated in a whole bunch of different tools.
So if you have your own homegrown tool or use a different system,
that setup can be replicated.
And so now we can see that I have the ability
to capture photos from the field of my work.
That photo is going to be automatically analyzed by artificial
intelligence models that are going to be looking for
specific visual elements in the photo in order to assess,
first of all,
that I documented my job properly.
I took the right photo.
It's framed properly.
It has all the information that I need.
And then inside the photo,
I will be looking at different visual elements,
such as the number of splices,
are every splice properly protected with a sleeve?
Is the tray properly addressed?
Do I have any sharp angle?
Is it properly secured under the notches?
And you can see here that any little problem that
should be corrected will be very clearly flagged by the
AI inside the photo,
so that I can correct it before I leave the site.
I retake a photo and I show that I did my job perfectly.
On top of that,
we capture a lot of information such as the timestamp,
the geolocalization,
which is really key to document your network efficiently.
And Jimmy will tell us a little bit more about why this is important.
Absolutely.
So with IQGeo's solutions to cover your entire network lifecycle,
the usage of AI is really important,
not only to just validate the work that's being done out there,
but also to start documenting properly
with high accuracy all of your assets.
So not only will you know what assets are out there,
you'll know exactly where they are,
and you'll know if they have been installed correctly.
So this is actually the foundation towards a
path for digital twin and network automation.
So we absolutely have to have a high
level of accuracy on the dataset,
which is provided by the deepomatic solution.
So, in conjunction with IQGeo,
this is really powerful for the organizations to
have a real-time visibility on all the assets and
where they stand and the quality of the networks.
So on this, thank you very much.
Thank you, Jimmy.
And if you need any more information,
need an in-depth demo,
don't hesitate to reach out to me,
to Jimmy,
or anyone else from the IQGeo team and the Deepomatic team.
Thank you very much.
Thank you.
