SPEAKER: In the
1960s, tie dye ruled,
the space race was heating
up, and the bleeding edge
of quality control
was the use of pigeons
for visual inspection.
Fast-forward to the
2020s, and quality control
has come a very long way.
Now artificial intelligence,
not bird brains,
is the driving force behind
cutting-edge innovation
and visual inspections.
AI-driven visual inspection can
solve many real-world problems
for SAP customers, from
automating warehouse processes
to detecting and
assessing damages.
But in the past, building
custom vision models
was laborious and hard.
That's why Google Cloud
created AutoML Vision so even
non-programmers could
tap into the power of AI
visual inspection.
Now any company or
manufacturer can
process and analyze millions or
billions of photos, documents,
maps, and more automatically
and save days, weeks,
or even months of manual work.
One of the world's leading
power companies, AES,
relies on Google Cloud's
AutoML Vision solution
to identify manufacturing
defects early and greatly
reduce costs.
Drone footage of
windmill turbines
is fed into AutoML Vision, which
is trained to identify defects
in the product images.
The automated vision
inspection model
saves 57,000 hours of human
inspection time in just one
year and created about $10
million in cost savings.
Manufacturing leader
Kaeser Compressors
uses Google Cloud Vision API
with SAP Digital Manufacturing
Cloud to automate visual quality
control processes embedded
into their manufacturing
and business workflows,
from the manufacturing assembly
to their services operations.
With Google Cloud
and Vision AI, you
can quickly process millions
or billions of documents
to understand their
content, automate business
workflows, and unlock
new ways to gain value
from your content.
Learn more about Vision AI and
how you can derive insights
from your images in the
cloud or at the edge
at cloud.google.com/vision.
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