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Topics Covered
- Retail
- Product tagging
- Security
- Healthcare
- Autonomous vehicles
- Social media
- Object tracking
- Surveillance
- AI
- Facial recognition
- Speech recognition
Talk Citation
Mendoza, J. (2026, February 26). Applications of vision recognition and video intelligence [Video file]. In The Business & Management Collection, Henry Stewart Talks. Retrieved April 18, 2026, from https://doi.org/10.69645/EVIT1719.Export Citation (RIS)
Publication History
- Published on February 26, 2026
Other Talks in the Series: AI in Marketing
Transcript
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0:00
Good day, everyone. My
name is Dr. Jose Mendoza.
Today, I'm excited to discuss
some cutting-edge
technologies that
are reshaping how
businesses operate,
namely vision recognition
and video intelligence.
These AI-driven tools are more
than just technological
advancements.
They're becoming integral
to how companies
enhance customer engagement
and optimize their operations.
0:29
Over the next few minutes,
I will take you through
the fundamentals of
these technologies,
showing you how they work
and how they are applied
across industries to
solve real-world challenges
and open up new opportunities.
Whether you're involved
in marketing, retail,
security, or any other field
that relies on visual data,
you will find that these
tools can be transformative.
So let's dive in and
start by exploring
what visual recognition and
video intelligence
are all about.
0:59
Let's start by defining
these two key technologies.
Vision recognition
is a branch of AI
known as computer vision.
It allows computers to
interpret visual data,
such as images or videos,
and make decisions based
on that information.
This technology mimics
human vision but can
process vast amounts of
data at incredible speeds.
Think about a system that
can instantly identify
objects in the photo or
categorize images
on a large scale.
That's what vision
recognition does.
Video intelligence takes
this further by analyzing
moving images in real-time
or post-processing.
It's about understanding
dynamic scenes,
such as tracking customer
movement in a store
or monitoring security footage
for specific activities.
These technologies are
crucial in modern business
because they turn visual data
into actionable insights,
allowing companies to interact
with customers more effectively,
optimize content, and
enhance product visibility.
Now that we have a
basic understanding,
let's take a closer look at
how vision recognition works
and where it's being applied.