It is a continuation session of Computer vision, In this session we will explore application area of computer vision in augmented/mixed reality.

1. Presented By:
● Tanishka Garg
● Durgesh Gupta
Computer Vision In
Augmented Reality

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3. Our Agenda
01 Introduction to Computer Vision-Recap
02 What is Augmented Reality & Virtual Reality
03
04 Computer Vision Overlapping Augmented Reality
05 Demo
How Does Computer Vision Enhance Augmented Reality

4. What is Computer
Vision-Recap

5. What is Computer Vision-Recap
● What is Computer Vision?
○ A field of Computer Science focuses on analyzing and processing
visual images or videos intelligently like humans.
● How Computer Vision Works
○ Computer vision algorithms are based on pattern recognition.
○ We train computers on a massive amount of visual data-computers
process images, label objects on them, and find patterns in those
objects.
● Application of Computer Vision.
○ Self Driving Cars
○ Augmented & Mixed Reality.
○ Facial recognition
○ Health Care
● Challenges in Computer Vision
○ Inadequate hardware
○ Poor Data Quality
○ Proper Knowledge of Domain

6. What is Augmented Reality
and Virtual Reality?

7. What is Augmented Reality and Virtual Reality?
● Augmented reality (AR) augments your surroundings by adding digital elements to a live view, often by using the camera on a
smartphone.
● The mobile App Pokemon Go that became an inescapable sensation in 2016 also was the wonder of Augmented Reality.
● Virtual reality (VR) is a completely immersive experience that replaces a real-life environment with a simulated one.
● Some of the VR devices are Oculus Rift, Samsung Gear VR, HTC Vive, Google Daydream View, or Google Cardboard. These
headsets remove vision of the real world and provide video to each eye allowing for depth of vision

9. Augmented or virtual reality? A direct comparison
of the two technologies
● VR creates an immersive virtual environment, while AR augments a
real-world scene.
● VR is 75 percent virtual, while AR is only 25 percent virtual.
● VR requires a headset device, while AR does not.
● VR users move in a completely fictional world, while AR users are
in contact with the real world.

10. How Does Computer
Vision Enhance
Augmented Reality

11. How Does Computer Vision Enhance Augmented
Reality
● It can help AR devices build a more accurate augmented
environment. AR can determine where to place virtual images in
accordance with space.
● AR devices use GPS and compass to understand the location of a
person and the direction he or she is facing, to show images
against the real world background. However GPS tracking may
fail when the person commutes in a congested area. Sometimes,
due to this inaccuracy, AR devices place virtual images at incorrect
places and build inaccurate AR environments.
● Using Computer Vision techniques AR devices address the
location challenges and build a more detailed augmented
environment.

12. Computer Vision
Overlapping Augmented
Reality

13. Application Of Augmented Reality and Computer
Vision
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● Applications of Augmented Reality and Computer Vision
Applications are as follows -
○ Autonomous Cars
○ Security Monitoring
○ Healthcare and Diagnostics
○ Image and Face Recognition
○ Vision Based Biometric Authentication

14. Augmented Reality and Computer Vision in
Autonomous Cars
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● 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.
● For example, Tesla cars come with autopilot mode. Autopilot Augmented
Vision is the new autonomous driving feature of Tesla. Their windscreens show
augmented information.

15. Augmented Reality and Computer Vision in
Security Monitoring
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● 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.
● Umbo AiDome is a wonderful example of just that. They’ve come up with an
autonomous security system that protects people and valuable assets alike.

16. Augmented Reality and Computer Vision in Health
and Diagnostics
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● By Computer vision and Augmented Reality we can detect cancerous moles in
skin images and finding symptoms in x-ray and MRI scans can be automated.
● For example, Touch Surgery mobile application allow anyone in the world to learn
and prepare for surgery based on industry-approved best practices.

17. Augmented Reality and Computer Vision in Image
& Face Recognition
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● 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.
● A brilliant example of this would be Uplara. It’s a virtual try-on for e-shoppers.
The amazing thing about this one is that you can integrate it on your Shopify store,
and give people an AR-powered eCommerce experience.

18. Augmented Reality and Computer Vision in Vision
Based Biometric Authentication
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● Here is one of the greatest applications of computer vision and AI-powered facial
recognition. Employees login virtually on the remote workspace. The unique
biological retina of the user is used to verify the identity.
● Computer Vision and Artificial Intelligence empower the Face Reg application,
which is an easy-to-use and scalable facial recognition app. It compares the
features of faces or objects detected with images that come from a predefined
dynamic dataset to provide maximum accuracy possible. It can also be used for
video surveillance.

19. Demo

20. Thank You !
Get in touch with us:
ML Studio, Knoldus Inc.