Advantages of Computer Vision: Business Cases and Applications

Computers assemble visual images in the same way you might put together a jigsaw puzzle. You have all these pieces, and you need to assemble them into an image. That’s how neural networks for computer vision work. They distinguish many different pieces of the image, they identify the edges and then model the subcomponents. Using filtering and a series of actions through deep network layers, they can piece all the parts of the image together, much like you would with a puzzle.

1. Seeing Results with
Computer Vision
Business Cases and Applications

2. What Is Computer Vision?
Computer vision is a field of artificial intelligence that
trains computers to interpret and understand the visual
world. Using digital images from cameras, videos and
deep learning models, machines can accurately identify
and classify objects –and then react to what they “see.”

3. From recognizing faces to processing the live action of a
football game, computer vision rivals and surpasses
human visual abilities in many areas.

4. How computer vision works
Computer vision works in three basic steps:
Acquiring an image
Images, even large sets, can
be acquired in real time
through video, photos or 3D
technology for analysis.
Processing the image
Deep learning models
automate much of this
process, but the models are
often trained by first being
fed thousands of labeled or
pre-identified images.
Understanding the image
The final step is the interpretative
step, where an object is identified
or classified.

5. Computer vision is used across industries to enhance the
consumer experience, reduce costs and increase security.
Here are a few examples of computer vision in action today.

6. 90%
AI can improve
manufacturing
defect detection
rates by up to
Computer vision
makes it possible to
spot defects not
easily visible to the
human eye.
Columbus, L. “10 Ways Machine Learning Is Revolutionizing
Manufacturing in 2018. ” March 11, 2018. Forbes. com.

7. Computer vision
enables safer airline
travel by identifying
unauthorized objects.
Goldstein, M. “TSA Misses 70% of Fake Weapons but That’s an
Improvement.” Nov. 9, 2017. Forbes.com.
70%
of unauthorized
items are missed
by airport security

8. Computer vision
makes it possible for
noninvasive
monitoring of
endangered species.
SAS. “Can Artificial Intelligence Help Protect These Animals
From Extinction?” Retrieved April 22, 2018, from
sas.com/en_us/explore/analytics-in-
action/impact/wildtrack.html.
.
93%
decline in cheetah
population over
the past century

9. Computer vision
helps detect fake
goods and protects
consumers.
Klara. R. “Counterfeit Goods Are a $460 Billion Industry,
and Most Are Bought and Sold Online.” Feb. 13, 2017.
Adweek.com.
counterfeit goods
bought and sold
around the world
annually
$460billion

10. players analyzed for
finding the next
football star with AI
200,000
Computer vision
makes it possible to
analyze every player,
much to the
enjoyment of the fans.
SAS. “Finding the Next Football Star With Artificial Intelligence.”
Aug. 8, 2018. sas.com.

11. counterfeit bills in
circulation in the
United States alone
$2 billion
Computer vision
makes it possible to
spot counterfeit
money and prevent
fraud.
Wi ki pedi a. “Counterfei t Uni ted States Currency. ”
Retrieved Aug. 28, 2018, from
wikipedia.org/wiki/Counterfeit_United_States_currency.

12. maximum acceptable
time customers are
prepared to
wait in line
5-10 mins.
Computer vision
makes automated
checkout possible for
a better customer
experience.
Strange, R. “How Long Will Retail Customers Wait (and
What Can You Do to Help)?”Sept. 27, 2012. Irisys.net.

13. estimated new
cases of cancer
diagnosed in the
US in 2018
1,735,350
Computer vision
helps identify areas
of concern in the
livers and brains of
cancer patients.
National Cancer Institute. “Cancer Statistics.” Retrieved
from cancer.gov/about-
cancer/understanding/statistics.

14. Computer vision
makes it possible to
detect early signs of
plant disease to
optimize crop yield.
Montalvo, D. “Insects Feast on Plants, Endangering
Crops and Costing Billions.” May 9, 2015.
Cnbc.com.
loss in US orange
market due to
crop disease
$4 billion

15. miles of America's
pipelines suffer
hundreds of leaks
and ruptures
annually
2.5 million
Computer vision
enables detection of
leaks and spills from
pipelines using
unmanned vehicles,
such as drones.
Groeger, L. “How Safe Are America's 2.5 Million Miles of
Pipelines?” Nov. 16, 2012. Scientificamerican.com.

16. estimated market
for facial recognition
technologies
by 2022
$9.6 billion
Computer vision
enables facial
recognition for retail
as well as security
applications.
NIST. “Testimony:Facial Recognition Technology
(FRT).” March 22, 2017. Nist.gov.

17. estimated cost of
insurance fraud
annually in US
$40 billion
Computer vision
makes it possible to
distinguish between
staged and real auto
damage.
FBI. “Reports and Publications: Insurance Fraud.”
Retrieved June 27, 2016, from fbi.gov/stats-
services/publications/insurance-fraud.

18. Proper
oxygenation
of the placenta is
essential for a
successful birth
Computer vision
makes it possible
to monitor
oxygenation through
the umbilical cord.

19. To learn more about computer vision and the underlying
technology of deep learning, download this free white paper:
How to Do Deep LearningWith SAS
®
You'll get an introduction to deep learning techniques and see
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20. To learn more about SAS
®
for AI solutions, visit
sas.com/ai