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Seeing Results with
Computer Vision
Business Cases and Applications
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.”
From recognizing faces to processing the live action of a
football game, computer vision rivals and surpasses
human visual abilities in many areas.
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.
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.
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. “10WaysMachineLearningIsRevolutionizing
Manufacturingin2018.”March11, 2018. Forbes.com.
Computer vision
enables safer airline
travel by identifying
unauthorized objects.
Goldstein, M. “TSAMisses70%of FakeWeaponsbutThat’san
Improvement.”Nov. 9, 2017. Forbes.com.
70%of unauthorized
items are missed
by airport security
Computer vision
makes it possible for
noninvasive
monitoring of
endangered species.
SAS. “CanArtificial IntelligenceHelpProtectTheseAnimals
FromExtinction?”RetrievedApril 22, 2018, from
sas.com/en_us/explore/analytics-in-
action/impact/wildtrack.html.
.
93%decline in cheetah
population over
the past century
Computer vision
helps detect fake
goods and protects
consumers.
Klara. R. “CounterfeitGoodsArea$460BillionIndustry,
andMostAreBoughtandSoldOnline.”Feb. 13, 2017.
Adweek.com.
counterfeit goods
bought and sold
around the world
annually
$460 billion
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. “FindingtheNextFootball StarWithArtificial Intelligence.”
Aug. 8, 2018. sas.com.
counterfeit bills in
circulation in the
United States alone
$2 billion
Computer vision
makes it possible to
spot counterfeit
money and prevent
fraud.
Wikipedia. “CounterfeitUnitedStatesCurrency.”
RetrievedAug. 28, 2018, from
wikipedia.org/wiki/Counterfeit_United_States_currency.
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.
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.
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
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. “HowSafeAreAmerica's2.5MillionMilesof
Pipelines?”Nov. 16, 2012. Scientificamerican.com.
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.
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.
Proper
oxygenation
of the placenta is
essential for a
successful birth
Computer vision
makes it possible
to monitor
oxygenation through
the umbilical cord.
To learn more about computer vision and the underlying
technology of deep learning, download this free white paper:
How to Do Deep Learning With SAS®
You'll get an introduction to deep learning techniques and see
how SAS supports the creation of deep neural network models.
To learn more about SAS®
for AI solutions, visit
sas.com/ai

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Advantages of Computer Vision: Business Cases and Applications

  • 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. “10WaysMachineLearningIsRevolutionizing Manufacturingin2018.”March11, 2018. Forbes.com.
  • 7. Computer vision enables safer airline travel by identifying unauthorized objects. Goldstein, M. “TSAMisses70%of FakeWeaponsbutThat’san 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. “CanArtificial IntelligenceHelpProtectTheseAnimals FromExtinction?”RetrievedApril 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. “CounterfeitGoodsArea$460BillionIndustry, andMostAreBoughtandSoldOnline.”Feb. 13, 2017. Adweek.com. counterfeit goods bought and sold around the world annually $460 billion
  • 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. “FindingtheNextFootball StarWithArtificial 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. Wikipedia. “CounterfeitUnitedStatesCurrency.” RetrievedAug. 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. “HowSafeAreAmerica's2.5MillionMilesof 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 Learning With SAS® You'll get an introduction to deep learning techniques and see how SAS supports the creation of deep neural network models.
  • 20. To learn more about SAS® for AI solutions, visit sas.com/ai