SMAART
Sophisticated Mobile Application using Augmented Reality Technology
TECHNICAL REPORT
SPRING 2011
Instructor:
Dr.Kwok
-
Bun Yue
Mentor:
Mr.Dilhar De Silva
Project Team Members:
Nithin Kumar Dudde
Manoj Gidda
Shivani Kovvuri
Srikanth Inapurapu
Srikanth Majji (Team Leader)
Report Date:
29
April 2011
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ACKNOWLEDGEMENT
We take an immense pleasure in expressing our sincere thanks to our instructor, Dr. Kwok Bun
Yue,
for providing us with
va
luable feedback throughout the capstone p
roject. We really
appreciate his advice, support, and feedback.
We are very much grateful to our mentor
,
Mr. Dilhar De
S
ilva, for his inspiring guidance and
advice througho
ut our project
. Mr. Dilhar De Silva has been the inspiration and was always up
front to motivate and encourage us for bringing out our project successfully. We would like to
thank him for his
excellent technical expertise, guidance, support, and time.
Finally we extend
our thanks to each of our families
, who gave us encouragement whenever we
had a tough time.
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ABSTRACT
In today’s world,
m
obile applications are triggering a fundamental shift in the way people
experience computing and use mobile.
The explosive growth in smartphones in the last three
years facilitated the development of hundreds of thousands of mobile applications that promised
to fundamentally change how people use the Web.
Our mentor,
Mr
.
Dilhar De Silva, CEO
of
AtLinks
Communicat
i
ons, was
interested in developing an android mobile prototype application
using augmented reality technology.
The overall goal of the project is to
develop an Android
-
based augmented
reality (AR) mobile
application
through which images and text can be placed on top of the objects of the phone
camera view based on the geo
-
location of the objects detected by the phone. For example,
u
sing
this application
,
administrative user
can
place the
schedule
of the
event
at a par
ticular geo
-
code
(latitude and longitude) on
a
server
by using a web application
and the mobile users
can
open the
mobile application
on android phone
to view the augmented image of schedule overlying on
camera’s view.
Mobile user can
also download the sch
edule
into their mobile phones by
providing their login credentials.
To provide the necessary AR functionality, our team developed and used a metric to study
about
AR
API’s and selected QUALCOMM API for pattern based augmentation
,
and WIKITUDE API
for geo
-
code based augmentation.
This project
was
carried out in accordance with R
ational Unified Process
(R
UP
), using Scrum
proce
ss.
The process went
iteratively and incrementally delivering sprints and finally delivering
the end product.
The project will be do
cumented using UML 2.0.
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CONTENTS
ACKNOWLEDGEMENT
2
ABSTRACT
3
1.
INTRODUCTION
5
1.1 Purpose
5
1.2 Overview
5
2.
SOFTWARE DEVE
LOPMENT MODEL
8
3.
DESIGN AND IMPLEMENT
ATION
10
3.1 Architecture diagram:
10
4.
TECHNICAL DETAILS
12
5.
Technical Challenges and Lessons Learnt
13
5.1
Selection of Android Mobile phone
13
5.2
Selection of Augmented Reality Browser/Engine
13
6.
CONCLUSION
14
7.
FUTURE WORK
15
8
.
REFERENCES
15
9
.
APPENDICES
16
Appendix A: Project Management and Team Information
16
Appendix B: Major Tasks and Contributions
17
Appendix C: Software Requirements Specification
18
Appendix D: Database Design Schema
22
Appendix E: Use case and Sequence Diagrams
25
Appendix F: Screenshots of Client Side and Serve
r Side
35
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1.
INTRODUCTION
1.1
Purpose
The
goal of
our capstone
project is to
develop an Android
-
based augmented reality (AR) mobile
application through which
images and text can be placed on top of the objects of the phone
camera view based on the geo
-
location of the objects detected by the phone
. It will also
develop
a server
-
side
web application
where users can place graphical image at a specific geocode
(loc
ation) using Google Maps
.
1.2 Overview
In today’s
business
and educational
world, every
industry
and educational institutions
wants to
share any specific information at
lightning speed
.
This may be a part
of manufacturing industries
promoting
their
new
product
,
or
shopping malls and restaurants promoting their new discount
offers,
or
educational institutions
announcing
on
-
campus
job
vacancies
and any special events
etc.
In the existing system, manufacturing industries does t
hese promotions
by displaying
the
new product details
on big hoardings
or by advertising it on Television. Shopping malls and
restaurants promote their discount offers
and
by adding pamphlets in the daily news paper.
Students of university have an only option of reaching the special ev
ent place to obtain the
schedule of it.
However the existing
system of sharing the specific information to people has several drawbacks
1)
Cost factor in case of advertising on TV and displaying large hoardings.
2)
Pamphlets
outmode
d
-
Majority of the news
paper readers are more interested on reading
news rather than the pamphlets added in it.
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3)
Students would not know the schedule of an event unless they reach the place and also
printing schedule brochures would add an extra budget to the event.
I
n today’s wo
rld
of technology,
i
nternet is one of the most important technological
breakthroughs of the 20th century
along with the mobile computing.
“
A
ccording to
the
results of
a recent online survey conducted by IBM,
television sets are losing ground to the internet
when it
comes to personal leisure time
”[6]
.
These kinds of promotions and advertising based on the
existing systems mentioned abov
e are reaching to very less peopl
e.
As the
growth of internet
and
mobile users are growing day by day, all the mobile carrier
services are offering smart phones
to them
at low prices possible with a contract based.
Our
mentor Mr. Dilhar De Silva wants us to build a mobile application on
android using augmented
reality technology
to overcome the above drawbacks
by targeting all the android mobile users
as
an initiative step
.
SMAART, an android
-
based augmented reality
technology application
makes android mobile
phone
users life easier in finding the information they looking for. Rather going to the places i
n
person
, an android
mobile phone owner
can download an augmented r
eality
application/software
that uses the phone
's camera and
GPS
capabilities to gather information ab
out the surrounding
area. For example,
if the user selects restaurants from the categories available, it shows
information
(order menu
and discount offers
)
about restaurants
in the area, overlaying this
information on the phone's screen. You can even point the phone at a
building, and it will tell
you if any companies in that building are hiring
by displaying a text image on
your mobile
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phone.
Aiming the camera towards the educational institution wou
ld fetch the mobile user with
a
n event schedule overlying on the phone’s screen.
Th
e server side
web
application shall
have a web based interface
which uses
Google Maps API
to
aid
administrative users to
place
the
images at specific geo
-
code locations. Usi
ng sensor
services
such as GPS
, the mobile application shall
get the current geo
-
code (latitude and
Longitude).The current geo
-
code (latitude and Longitude)
of the device
along with
user selection
of
categories and
the
radius
(distance user wants to find places within)
is sent to server to figure
out if any images have been placed in the virtual world.
The i
mages
that are augmented
are
displayed through the camera of the d
evice. The mobile users
then
should be able to download
and store the imag
e augmented
onto
the device.
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2.
SOFTWARE DEVELOPMENT MODEL
We
used Rational Unified Process (RUP) as the software development model.
It provides a
disciplined approach t
o assign
tasks and responsibilities within a development organization.
The
goal
of RUP
is to ensure the production of high
-
quality
software that meets the needs of its end
-
users, within a
predictable schedule and budget.
Fig 1: RUP pha
ses
RUP has a project lifecycle that consists four phases.
Inception:
In the inception phase, the team met with Mr. Dilhar De Silva and gathered
all the requirements. One of the requirements of our project is researching on different
AR browsers and select
ing the best open source browser that suites our project. We have
selected Qualcomm API for pattern recognition and Wikitude API for geo
-
location. The
team developed a basic use case diagram depending upon the requirements. Our team
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also made research on
different kinds of android mobile phones and chose the Dell Streak
for our project
. We have also learnt about the Android SDK by dividing it into sections
and later explained it each other. The team worked for almost three weeks in the
inception phase.
Elaboration:
In the elaboration phase, we have revised the basic
use case diagram. The
team developed
sequence diagrams as well. The team also designed a high level
architecture diagram showing the flow of communication between the client and server.
The t
eam worked for four weeks in the elaboration phase.
Construction:
The construction phase was almost seven weeks. The team learnt new
technologies like Android SDK, Qualcomm API,
and Wikitude
API. We have divided the
team into two groups. One group working
on server side and other group working on the
client side. As we have divided the work, we were able to work independently and
complete the project on time.
Transition:
During the transition phase
,
the team performed
some
tests to verify the
project requ
irements. The prototype was demonstrated to Mr. Dilhar De Silva
to
validate
that the project met the end users’ expectations.
The team worked for two weeks on
transition phase.
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3.
DESIGN AND IMPLEMENTATION
3.1
Architecture diagram:
The architecture diagram
shows
the working of the project in detail. Images uploaded on to the
server by authorized user wi
ll be stored on the database as shown in the diagram below.
Client
side mobile application
receives the images from the server to
augment
it
on
the mobiles camera.
The technical details
of the project
are explained in next section.
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The communications between the client, server and database is explained
Communication between
Client
& Server
:
1.
On the A
ndroid phone, the user
shall select the category
to view his required choice of
images or text overlying on camera’s view by clicking on categories menu button
.
2.
A mobile user shall set the radius (maximum distance to consider from the current geo
-
code) to display the requested
category of images with in the distance of radius.
3.
The current geo
-
code, along with selected categories and radius is sent
to the server
as a
HTTP request
.
4.
The client application receives all the images of user
-
selected categories within the user
-
defined
radius as an XML file from the server.
5.
Once the
augmented images are displayed on the camera’s view,
user
can select
a
n image
for download, which in
turn
requests for mobile user login credentials.
6.
Once the mobile user provides the login information,
serve
r authenticates the user and
then he/she would be able to download the image on to the device
on a
successful log
in
.
Communication between Server & Database:
1.
When authorized users provide login credentials to logon to web application
, t
he server
checks with the database
to authenticate them.
2.
Whenever an authorized user adds an image
along with the image name and description
on the server side
application at a specific geo
-
code,
it is stored in
to
the database.
3.
When a HTTP request with ge
o
-
code, informational categories and radius are received
from client application, the server checks with the database to find images of the
categories within a certain radius.
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4.
TECHNICAL DETAILS
This section explains the various technologies we u
sed to deve
lop this application.
Mobile Application (Client Side):
The Client side application was implemented using Java on Android 2.2 platform. We have used
WIKITUDE API for augmenting images
on camera view
based on geo
-
code. We have used
QUALCOMM API for augmenti
ng image
on camera view
based on pattern recognition. We
have also used Google Maps
API
on client side
and placed
markers on
server
-
specific geo
-
code
s
.
Web Application (Server
Side):
The Server
side
web
application was implemented using J
ava server pages for user interface and
MySql for the database. We have used Google Maps API to place the marker and add images
with description at user
-
specific geo
-
code.
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5.
T
ECHNICAL CHALLENGES AND LESSO
NS LEARNT
5.1
Selection of
Android Mobile phone
The
first challenge the team had was
,
determining what
Android ph
one to use for the project.
The team
gathered all the requirements of the project
to
determine the required functionalities of
android phone
. The team determined that
,
an
android phone
supportin
g a Qualcomm
API and
GPS would be the most reliable for the application
.
The team has done good research and
selected some android phones which have
satisfied the requirements criteria
.
By comparing the
chosen android phones based on
certain
metrics
, the team has decided Dell Streak 5
will satisfy
the requirements of the project
. The
Dell Streak 5
has a built
-
in
Qualcomm chip
and GPS which
would be used both for pattern recognition and geo
-
code based augmentation.
Both mentor and
instructor have agr
eed and recommended our selection of android phone
.
5.2
Selection of Augmented Reality Browser/Engine
Another challenge the team had
was
determining
the best AR browser/engine for the project. AR
browser/engine is used to augment images or text on top of the
objects of camera’s view
in our
project
. The team has done research on it and come across many AR browsers/engines. Based on the
metrics, the team has compared
all the
AR browsers/engines and found Qualcomm API is best
suitable for a pattern
-
based augment
ation
. Qualcomm API is an open sourced API and does not
augment images based on the
geo
-
code;
it augments images based on pattern recognition. The team
has determined Wikitude API as the best AR browser in augmenting images based on the geocode
.
Wikitude
API is
an open sourced
browser and it is very well documented.
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6.
CONCLUSION
Our team was
successful in completing all
the requirements that were specified
,
even though
the
concept of augmented reality
was entirely new
for all our team members.
In the proces
s of
completing this project
,
we were able to
learn
various new
technologies
. Learning all the
se new
technologies
and providing a working prototype in the short aggress
ive schedule was
challenging.
The team enjoyed working with the mentors and getting the opportunity to
learn
from this project.
Overall, we had good experience working on the capstone project.
7.
FUTURE WORK
In future
,
performance
of the
application (SMAART)
can be improved
using
WIKITUDE API
to
a
ugment images on camera based on geo
-
location
. SMAART, an augmented reality based
android application
has
also been able to augment images on camera
using a
basic pattern
recognition
with the help of
Qualcomm API
. There
is lot of scope
to
enhance on
pattern
recognition
based augmentation
in this application.
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8.
REFERENCES
[1].
IBM Rational Software. "Rational Unified Process : Best Practices for Software
Development Teams."
IBM DeveloperWorks: Rational.
January 10, 2003.
http://www.ibm.com/developerworks/rational/library/content/03July/1000/1251/1251_bestpracti
ces_TP026B.pdf
[2].
Benismobile (November 23, 2010).
Comparing AR browsers
. Retrieved from
http://mobilegeo.wordpress.com/2010/11/23/comparing
-
ar
-
browsers/
for comparing different AR
browsers.
[3].
Learning about Qualcomm API
https://ar.qualcomm.com/qdevnet/developer_guide
[4]. Information about Android fundamentals
http://developer.androi
d.com/guide/basics/what
-
is
-
android.html
[5]. Basic knowledge about Augmented Reality
http://en.wikipedia.org/wiki/Augmented_reality
[6]. Survey between Television and Internet
http://www.bit
-
tech.net/news/2007/08/23/tv_vs_the_internet_internet_wins/1
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9.
APPENDICES
Appendix A: Project Management and Team Information
Srikanth Majji: Team Leader,
Research Analyst, Developer, Database Administrator
Srikanth Inapurapu: Software Designer, Developer
Shivani Kovvuri: Software Designer, Technical writer
, Webmaster
Nithin Kumar Dudde: Software Designer, Developer, Webmaster
Manoj Gidda: Research Analyst,
Technical writer
Project schedule:
Week
Date
Phase
Week 1
01/20/2011
Inception phase
Week 2
01/25/2011
Week 3
02/01/2011
Week 4
02/08/2011
Elaboration phase
Week 5
02/15/2011
Week 6
02/22/2011
Week 7
03/01/2011
Construction phase
Week 8
03/08/2011
Week 9
03/15/2011
Week 10
03/22/2011
Week 11
03/29/2011
Week 12
04/05/2011
Transition phase
Week 13
04/12/2011
Week 14
04/19/2011
Week 15
04/26/2011
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Appendix B: Major Tasks and Contributions
Tasks
Srikanth
Majji
(%)
Srikanth
Inapurapu
(%)
Shivani
Kovvuri
(%)
Nithin
Kumar
Dudde
(%)
Manoj
Gidda
(%)
Research & Analysis on
different AR browsers
20
20
20
20
20
Documentation on
Abstract, Agenda &
Meeting Minutes
20
15
35
15
15
Modeling Use cases and
sequence Diagrams
15
15
15
35
20
Software Requirements
Specification(SRS)
15
20
2
0
15
30
Website Creation,
Maintenance
15
15
20
35
15
UI Design
15
35
20
20
15
Database Design
35
10
1
0
20
25
Database connectivity
with UI
25
25
15
15
20
Technical Report
15
20
35
15
15
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Appendix C:
S
oftware Requirements Specification
Client side:
Open the Application
User
shall
start the application by clicking on the shortcut
key of the application in the
A
ndroid phone.
System shall
retrieve the current location of th
e user using
GPS
.
Choose a category
When the user selects the category from menu, the category list shall be retrieved from the
server and displayed to the mobile user.
User shall select any one of the categories
that he/she is interested in
from
a
number of
categorie
s available. (For example categories
may
include Restaurant, Motel, School, Coffee
shops etc.)
System shall retrieve
all the markers
belonging to that particula
r category by connecting to
the server
.
System shall display all these retr
ieved markers
to the
mobile user.
Set Radius
User shall set the radius to a particular range. The default radius is set to 10
miles and the
maximum radius is set to 60
miles.
System shall retrieve all the
markers
within that particular range.
System shall display all these
markers
to the mobile user.
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Open App Camera
User shall
select the camera option once he/she is done selecting the categories and setting
the radius.
User shall select the augmentation type. The two types of augmentation are
using geolocation
and
using
pattern
recognition.
Open Map View
User shall
open the map view option once he/she is done selecting the categories and setting
the radius. The map shall
display markers in the map
belonging to that particular category
with
in
the selected radius range.
User shall select the augmentation type. The two types of augmentation are
using geolocation
and
using pattern
recognition.
Download images
User shall
download and store the image selected into the Android phone memory.
W
hen the user shall download an image, the system asks the user for login information.
Open images
User shall
open a stored image from the Android phone memory.
User shall need a JPEG viewer to open the stored images.
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Server side:
Login to web server
System shall allow the user to enter a valid mobile number and password.
System shall successfully login and display
“
login successful
”
when authenticated.
System shall prompt an error message when an invalid user logs in
or
when the user does not
enter
his mobile number and password.
User Registration
User shall enter mobile number
which is 10 digits.
User shall enter a password which should be a minimum of 8 characters.
User shall enter first name
.
User shall enter last name.
User shall enter email.
User shall enter mobile model number.
User shall click on
“
submit
”
after entering all the details.
If the mobile number already exists, the user shall be displayed an error message that the
“
mobile number already exists
”
.
Pick geo
-
location
User sha
ll
select a geo
-
location from Google M
aps.
System shall display the latitude and longitude of the geo
-
location selected.
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Add image at geo
-
location
User shall add an image to the geo
-
location he/she has selected.
Create category
User shall create a new
category and add an image to that particular category.
Categorize image
User shall categorize the image
to any
one of the categories
that is been added to a particular
geo
-
location.
User shall create
a new category if he/she wants
to.
Update
image
User
shall
browse through the images that are available in the system and choose one of
them
,
upload
ing
it to that particular geo
-
location.
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Appendix D
:
Database Design Schema
DATA DICTIONARY:
The
table descriptions are as follows
1.
Authorized user:
This table holds the authentication details like Mobile number and
password for every user who logins to the system. This Mobile number and password
is
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used by the client for login purposes on the Android phone, whenever the user needs to
download images.
Column Name
DataType
Default Value
MobileNumber
bigint[10]
Not Null
Password
varchar
[45]
Not Null
Primary Key: {MobileNumber}
Functional Dependency: MobileNumber
Password
Highest Normal Form: BCNF
2.
Profile: Each
Authorized user has one account. The profile information contains Mobile
number, First name, Last name, E
-
mail, Mobile_model.
Column Name
DataType
Default Value
MobileNumber
bigint
[10]
Not Null
First
Name
v
archar
[45]
Not Null
LastName
v
archar
[45]
Not
Null
E
-
mail
varchar
[60]
Not Null
Mobile_model
varchar
[45]
Not Null
Primary Key: {MobileNumber}
Functional Dependency:
MobileNumber
{FirstName, LastName, Mobile_model, E
-
mail}
Highest Normal Form: BCNF
3.
ImagePlot: An authorized user can upload any
number of images. In order to know which
user has uploaded the image at particular Geo Location, we consider Mobile number,
Latitude and Longitude as a primary key.
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Column Name
DataType
Default Value
ImageID
i
nt
eger[5]
Not Null
Image
Name
varchar[
6
0]
NotNull
ImageDescription
Varchar[300]
NotNull
ImageLink
Varchar[200]
NotNull
Latitude
double
(
20
,
15
)
Not Null
Longitude
double(20,15)
Not Null
MobileN
umber
bigint
[10]
Not Null
CategoryID
i
nteger
[15]
Not Null
Primary Key: {
ImageID}
Foreign Key: {
CategoryID, MobileNumber}
Functional Dependency: ImageID
ImageName
,
ImageLink, ImageDescription,
Latitude,
Longitude, MobileNumber, CategoryID
Highest Normal Form: BCNF
4.
Category: Each image which is placed at a particular geo
-
location by an Authorized
user
has a related Category Name.
Column Name
DataType
Default Value
CategoryID
i
nterger
[15]
Not Null
CategoryName
v
archar
[4
5]
Not Null
Primary Key: {CategoryID}
Functional Dependency: CategoryID
CategoryName
Highest Normal Form: BCNF
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Appendix E
:
Use case and Sequence Diagrams
Use case Diagram:
Client side:
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using Augmented Reality Technology
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Kite level written Use Case for displaying images in a virtual world using Augmented Reality
technology
:
Use
-
Case Title: Displaying images in a virtual world using Augmented Reality tech
nology
Primary Actor: Mobile User
Level: Kite (Summary)
Stakeholders: Mobile user
Precondition: Mobile users should have a camera phone with android operating system
Minimal guarantee: Mobile users retrieve the geo codes facing camera lens
Success guarantee: Display images at the specific geo code on camera
Trigger:
M
obile users access the application utilizing Augmented Reality technology
Main success scenario:
1.
Mobile Users opens the Augmented Reality application on Android phones using
camera
lens to retrieve the geo code locations.
2.
Mobile Users requests server for the images by sending the geo codes.
3.
Images are displayed at corresponding geo code locations on camera after receiving it
from the server database.
4.
Images can be maximized b
y touching it.
5.
Images can be downloaded and stored in to the mobile phone.
Error conditions
:
1.
a. Sending geo codes to the server is interrupted
1
.a.1 Transaction Rolled back, Mobile User starts again.
1
.a.2
Transaction Rolled back, Mobile User quits.
2
. a. Receiving images from server is interrupted
2
.a.1 Transaction Rolled back, Mobile User starts again.
2
.a.2 Transaction Rolled back, Mobile User quits.
3. a. If images are not downlo
aded
3
.a.1 Transaction Rolled back, Mobile User starts again.
3
.a.2 Transaction Rolled back, Mobile User quits.
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Server side:
Sophisticated Mobile Application
using Augmented Reality Technology
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Kite level written Use Case for adding and updating images on server side GUI
:
Use
-
Case Title: Adding and
updating Images on Server side GUI
Primary Actor: Authorized user
Level: Kite (Summary)
Stakeholders: Authorized user
Precondition: Server side GUI should be embedded with Google maps API.
Minimal guarantee: Accessing the Google maps from server
side GUI with internet
Success guarantee: Adding images at the specific geo code location on server side
Trigger: Administrator access the GUI enabled with Google maps API
Main success scenario:
1.
Administrator logs in to access the server side GUI.
2.
Pi
ck a geo location to add an image.
3.
Add images at specific geo code locations using Google maps API
.
4.
Update all the images with the recent one.
5.
Maintain the server side GUI regularly.
Error conditions
:
1.
a. “Log
-
in” Use case failure
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a. Adding images at Geo codes are interrupted
2.a.1 Transaction Rolled back, Administrator starts again.
2.a.2 Transaction Rolled back, Administrator logs out.
3. a. Updating images are interrupted.
3.a.1 Transaction Rolled back, Administrator starts again.
3.a.2 Transaction Rolled back, Administrator logs out.
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Sequence Diagram:
Client s
ide:
Sequence diagram for selecting the category:
Sophisticated Mobile Application
using Augmented Reality Technology
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Sequence diagram for setting radius and perform camera options:
Sophisticated Mobile Application
using Augmented Reality Technology
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Sequence diagram for authentication:
Sequence diagram for opening downloaded images:
Sophisticated Mobile Application
using Augmented Reality Technology
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Server side:
Sequence Diagram for
successful login onto web application:
Sophisticated Mobile Application
using Augmented Reality Technology
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Sequence diagram for picking a geo location to upload an image:
Sophisticated Mobile Application
using Augmented Reality Technology
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Sequence diagram for adding image and choose category:
Sophisticated Mobile Application
using Augmented Reality Technology
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A
ppendix
F: S
creenshots of Client Side and
S
erver
S
ide
Server Side:
Fig 1: Home Page
Fig 2: Login Page
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using Augmented Reality Technology
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Fig 3: Registration page
Fig 4: After successful login the user can place a ma
rker on the Google Maps and uplo
ad a
n
image.
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using Augmented Reality Technology
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Client Side:
Images of application running on Dell Streak
Fig 5: Initial Screen
Fig
6: Screen when clicked on menu
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using Augmented Reality Technology
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Fig 7
: Screen with list of categories
Fig 8
: Screen
when clicked on Camera
Sophisticated Mobile Application
using Augmented Reality Technology
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Fig 9
: Screen
when clicked on Map
Fig 10
: Screen
when
tapped on the marker. Login page
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using Augmented Reality Technology
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Fig 1
1
: Screen
when clicked download
after successful login
Fig 1
2
: Screen
when clicked on info menu button
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using Augmented Reality Technology
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Fig 12
: Screen
when clicked pattern recognition in camera button
Fig 13
: Screen
when clicked on Geolocation on Camera menu button
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