5 Applications Growing the Field of Computer Vision

1
5 Applications Growing The Field Of Computer
Vision
Email ID- info_at_clarifai.com
2
About Clarifai

• Clarifai is accelerating the progress of
  humanity with continually improving AI.
• Founded in 2013 by Matthew Zeiler, a foremost
  expert in machine learning, Clarifai has been a
  market leader since winning the top five places
  in image classification at the ImageNet 2013
  competition.
• Recognized by leading industry analysts for our
  award-winning platform, Clarifai offers an
  end-to-end solution for modeling unstructured
  data for the entire AI lifecycle. Our powerful
  image, video, and text recognition solutions are
  built on the most advanced machine learning
  platform and made easily accessible via API,
  device SDK, and on-premise, empowering businesses
  all over the world to build a new generation of
  intelligent applications.

https//www.digitalconnectmag.com/5-applications-g
rowing-the-field-of-computer-vision/
3
Peoples dream of creating machines that could
think and replicate humans has been an ongoing
process for many years is taking shape now. What
if there was a technology that could see and
decipher things around it as a human would.
AmazingIsnt it? This is something that computer
vision technology doesit duplicates human
vision. In todays Artificial Intelligence (AI)
world, computer vision is a trending subject
because of its growing proliferation in various
industries and our daily life. We now have
self-driving cars, augmented reality, facial
detection applications and the list goes on.
Computer vision technology is an integral part of
all these applications and is playing a major
role in digital transformation. Its potential is
huge the global market for computer vision has
steadily been growing from 6.6 billion in 2016
and is expected to reach 48.6 billion by
2022.  But what exactly does computer vision
mean, how does computer vision work and how is
this technology used in various applications?
These are some pertinent questions that well
discuss as we go along. 
https//www.digitalconnectmag.com/5-applications-g
rowing-the-field-of-computer-vision/
4
About Computer Vision
Computer vision (CV) is a field of computer
science that focuses on creating digital models
to process, analyze and understand the image and
video data. A sub-branch of AI, CV works with
training computer systems to understand the
visual world. Computers dont have the subjective
experience of vision the way that people do,
but computers can explore and extract meaningful
information from images, and this information can
be used to drive actions and automate systems.
https//www.digitalconnectmag.com/5-applications-g
rowing-the-field-of-computer-vision/
5
How Does Computer Vision Work?
Computer vision works based on pattern
recognition. A computer vision model is fed
images, called inputs, and returns a word as
their output, a descriptive keyword. Suppose you
need to identify dogs in a large amount images.
It would be impossible to go through every image
yourself to find all of the dogs. Computer vision
helps in this process. To do this, the system has
to be fed hundreds, thousands or even millions,
depending on your desired output, of related
images of dogs. Then the system processes these
images, identifies patterns that identify the
image as dogs, and finally learns what a dog
looks like and can discern which images have dogs
in them. Whenever an image of a dog is sent to
the system, itll be able to recognize the image
based on being trained what a dog looks like.  
https//www.digitalconnectmag.com/5-applications-g
rowing-the-field-of-computer-vision/
6
Applications of Computer Vision Technology
Self Driving Cars Car companies, like Tesla, are
using computer vision software in their
self-driving cars. Computer vision technology
allows cars to get a sense of their surroundings
with the help of cameras. These cameras capture
videos of the surroundings and send the data back
to the computer vision software. The software
then analyzes the video and identifies objects
like traffic signals, other cars, pedestrians,
etc., and the system is trained to understand
what is safe and what to avoid. Based on this
data,r the car is able to safely drive passengers
to their destinations.
https//www.digitalconnectmag.com/5-applications-g
rowing-the-field-of-computer-vision/
7
Facial Recognition Facial recognition technology
is used to identify the faces of individuals to
establish their identities by cross-checking with
images saved in a database. The technology uses
its algorithms to identify the facial features in
the images and compare them with existing images.
There has been much controversy over the use of
facial recognition software and privacy, but
there are beneficial applications for it. The
best use of facial recognition technology can be
found in smartphones. Remember, when you try to
unlock your phone, your face is identified by the
software first in order to gain access..   
Healthcare The use of computer vision
applications in the healthcare domain is growing
steadily. Computer vision models can be trained
with images to understand the trends and find out
anomalies in those images that are fed to them.
Not only is it being used for diagnostic
applications to help doctors make better-informed
decisions, but also its being used in medical
imaging, cancer screening, and more. One of the
best examples of using this technology in
healthcare is medical image analysis. Computer
vision technology can be used in detecting tumors
and other illnesses by examining radiological
scans to find anomalies that a human eye may
miss. 
https//www.digitalconnectmag.com/5-applications-g
rowing-the-field-of-computer-vision/
8
Agriculture Computer vision technology has
tremendous potential in the agricultural sector.
Its helping to improve operational efficiency
and accelerate the increase in agricultural
productivity in a more accurate manner. Computer
vision techniques using semantic segmentation and
image annotations are approaches for detecting
and identifying a particular object in images or
videos. Computer vision-enabled cameras can be
trained to detect unfavorable conditions, crop
health information, land boundaries, and more.
The early detection of pest infestations by this
technology helps farmers to take necessary action
to protect their crops in turn saving them from
financial loss while improving the quality of
their yield.
Homeland Security Computer vision is providing
ubiquitous vision with network and cooperative
arrays of cameras. The objective is to apply
computer vision techniques and algorithms under
various environmental conditions for security,
surveillance, and protection of physical
infrastructures under human and vehicular
threats. Using computer vision and AI automation,
video footage can be reviewed faster and more
accurately than a human could do. From inspecting
cargos at ports to monitoring crowds, this
technology processes images organizes them and
provides insights in order to make
better-informed decisions faster.
Defense Intelligence services have to analyze
huge amounts of information collected by drones
and surveillance cameras. To hasten the process
of analyzing manually, computer vision technology
filters the most relevant data and pre-process it
from the pile.
https//www.digitalconnectmag.com/5-applications-g
rowing-the-field-of-computer-vision/
9
Conclusion Computer vision adoption is growing
steadily. Be it video-detection systems in road
transportation, self-driving cars, 3D printing in
manufacturing, facial recognition, healthcare,
and advanced sensors in defense and logistics,
computer vision technology is being used
extensively. In the present world, computer
vision technology can bring immense financial
gains in business. However, this is just the tip
of the iceberg. This technology has immense
potential in the future.  Check out Clarifai, the
leading deep learning platform for computer
vision, natural language processing, and
automatic speech recognition.
https//www.digitalconnectmag.com/5-applications-g
rowing-the-field-of-computer-vision/
10
Email ID- info_at_clarifai.comWebsite URL-
https//www.clarifai.com/Facebook Id-
https//www.facebook.com/Clarifai
Thank you!
Thank You