Augmented Reality
20PT18 Navin Aananthan K R
20PT03 Anirudh Krishna S
What is Augmented Reality?
• Augmented reality takes real-world environments and then
enhances these environments through computer-generated
procedures that perpetually enrich the environment.
• Augmented reality (AR) provides a live experience of the physical
world with computer-generated augmentation appropriate to the
location and particular task at hand .
• Think about your backyard. How would you feel if there was a
pokemon sitting there? Your mobile screen can of course show
you something like this, and this is what Augmented Reality really
is
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The difference between AR and VR
• It is important to understand the difference between Augmented
Reality and Virtual Reality (VR).
• While AR adds virtual touch to existing real-world environments,
VR immerses users by letting them inhabit an entirely different
environment. Computers render and create this environment that
is notably virtual one. Users can look up and down and feel the
weather as if they were already there.
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How Computer Vision helps in AR
• Computer Vision is used to enable computers to identify and
process objects in images and videos in the same way that
humans do.
• As we all know, augmented reality technology enables computing
devices such as smartphones, tablets, and smart glasses to
overlay objects on the real world. Computer vision plays an
important role in augmented reality.
• It helps to build more accurate augmented reality environments
and enables detection and identification of objects and locating
real-world elements. In other words, it helps in object detection
and tracking. It also supports augmented reality with simultaneous
localization and mapping (SLAM)
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• It can help AR devices build a more accurate augmented
environment. AR can determine where to place virtual images in
accordance with space.
• Visual tracking and AR overlay enables the system to keep track
of the word of interest in the live video stream and to present the
translation in a live AR-style overlay
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Computer Vision Overlapping AR
• Autonomous Cars :–
Computer vision is one of the ways self-driving cars can make
sense of their surroundings. Pictures taken from different angles are fed
to the software. Then it processes the images to know the real-time
situation of the road.
Security Monitoring :–
Imagine, if your CCTV camera notifies if something unusual
happens. For example, if something catches fire or a stranger lurks
around the house, you get an instant alert and prevent an unfavorable
situation. This is the wonder of computer vision.
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• Image & Face Recognition :–
The role of computer vision in facial recognition apps is essential.
This technology allows computers to match the images of people’s faces
to their identities. The algorithms detect facial features in images and
compare them with its database of face profiles
• Health and Diagnostics :–
Such applications also have the potential to play a role in medical
science, since a lot of image recognition is required there. Tasks like
detecting cancerous moles in skin images and finding symptoms in x-ray
and MRI scans can be automated.
• Vision Based Biometric Authentication:Here is one of the greatest applications of computer vision and AIpowered facial recognition. Employees login virtually on the remote
workspace. The unique biological retina of the user is used to verify the
identity.
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• QR Codes Scanning :–
Computer Vision can scan QR codes and collect the information
stored in them. AR can further display that gathered information to users.
It is useful for both businesses and customers.
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Thank you