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Augmented Reality
Leveraging mobile software for
Advanced AR applications
Aneesh Devasthale
Amity University Noida
3rd Year/ 6th Semester
Btech CSE
aneeshdevasthale@gmail.com @aneeshd16
http://aneesh.parseapp.com
What is AR?
 Provides data about your surroundings in real time.
 Real world elements are augmented by input such as sound, video, graphics
or GPS data.
 Recent device implementations: Microsoft Hololens, Google Glass
 Popular mobile apps: Google Goggles, Layar, Sky Map, Ingress
 Next steps: Seamless identification of all objects, military applications,
educational applications, medical applications, interactive gaming, real time
language translation.
dog
Mobile AR, the Technology
 Hardware required is the phone camera,
microphone, speakers, accelerometer and
GPS.
 Image Processing software is the most
important part of AR.
 Firstly, corner detection, blob detection,
edge detection or thresholding used to
detect features/objects.
 Mathematical methods used to compare
detected objects with predefined object
definitions
dog
Lumia City Lens
Opportunities in Mobile AR applications
Development of a Cloud based AR app
Mobile Client sends basic processed image data
to cloud for further processing
The backend identifies objects and matches
them with object definitions
Backend sends matched object data back to
the client
dog
Why me?
2 years of
experience in
mobile app
development
1 year of
experience in
backend
development
(Node.js, Python,
PHP)
Worked as
backend
developer in 3
startups.
Experience with
cloud providers
(AWS, Azure,
Parse, Heroku)
Windows Phone
app won Runners
up in Nokia’s
international
Create Contest.
Ability to use
various
technology stacks
and merge them
into a cohesive
working unit.
Thank You

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Augmented Reality and Mobile applications

  • 1. Augmented Reality Leveraging mobile software for Advanced AR applications Aneesh Devasthale Amity University Noida 3rd Year/ 6th Semester Btech CSE aneeshdevasthale@gmail.com @aneeshd16 http://aneesh.parseapp.com
  • 2. What is AR?  Provides data about your surroundings in real time.  Real world elements are augmented by input such as sound, video, graphics or GPS data.  Recent device implementations: Microsoft Hololens, Google Glass  Popular mobile apps: Google Goggles, Layar, Sky Map, Ingress  Next steps: Seamless identification of all objects, military applications, educational applications, medical applications, interactive gaming, real time language translation. dog
  • 3. Mobile AR, the Technology  Hardware required is the phone camera, microphone, speakers, accelerometer and GPS.  Image Processing software is the most important part of AR.  Firstly, corner detection, blob detection, edge detection or thresholding used to detect features/objects.  Mathematical methods used to compare detected objects with predefined object definitions dog Lumia City Lens
  • 4. Opportunities in Mobile AR applications Development of a Cloud based AR app Mobile Client sends basic processed image data to cloud for further processing The backend identifies objects and matches them with object definitions Backend sends matched object data back to the client dog
  • 5. Why me? 2 years of experience in mobile app development 1 year of experience in backend development (Node.js, Python, PHP) Worked as backend developer in 3 startups. Experience with cloud providers (AWS, Azure, Parse, Heroku) Windows Phone app won Runners up in Nokia’s international Create Contest. Ability to use various technology stacks and merge them into a cohesive working unit.