The document discusses an augmented reality (AR) application developed by students which enhances user experiences by providing real-time information and notifications while addressing concerns like battery drainage and application efficiency. The project utilizes various development tools, including Eclipse and Android Studio, and incorporates hardware and software sensors for functionality. Key features of the application include the use of a low pass filter for improved accuracy, as well as a push notification system to conserve battery life.

1. DEPARTMENT OF COMPUTER SCIENCE
ENGINEERING &
INFORMATION TECHOLOGY
JAYPEE INSTITUTE OF INFORMATION
TECHNOLOGY, NOIDA
Project Supervisor:
Mrs. Amanpreet Kaur
Submitted by:
Ayush Garg (10104746)
Rajat Ghai (10104741)

2.  Augmented reality (AR) is a live, direct or
indirect, view of a physical, real-world
environment whose elements are augmented
(or supplemented) by computer-generated
sensory input such as sound, video, graphics or
GPS data
 Augmented reality applications can enhance a
user's experience when traveling by providing
real time informational displays regarding a
location and its features

3.  The amount data we rely on every day is
overwhelming, and there is no sign of it
slowing down. Instead of having users find the
information they need, the information should
come to them automatically
 Battery issue is one of the major concern of
android devices, as our application is having
social features so application require to remain
active every time, which drains battery

4.  The major concern of our project to avoid
drainage of android device battery, because
our application contains many social features
and for that user have to active with internet
service.
 Other concern is not make our application as
light as possible. If application is heavy it hang
the phone.

5.  We use PUSH notification features which will
work even though our application is closed by
sending deals as a notification.
 We use multithreading and put our database
used in our application online.

6.  It is an application which tells you nothing on a
literal or intellectual level, but which in
instinctive, emotional terms makes you
understand more than you will ever be able to
verbally communicate to another human being
 We use our own “Software Sensor”.

7.  Eclipse is an Integrated development
environment (IDE). It contains a base
workspace and an extensible plug-in system
for customizing the environment. Written
mostly in Java, Eclipse can be used to develop
applications in Java
 Eclipse uses plug-ins to provide all the
functionality within and on top of the runtime
system. Its runtime system is based on
Equinox, an implementation of the OSGi core
framework specification

8.  Android Studio is an integrated development
environment (IDE) for the Android platform
Android Studio includes a powerful code
editor. It's based on the IntelliJ IDEA editor,
which supports features such as smart editing,
advanced code refactoring, and deep static
code analysis

9.  Hardware Requirement:
 Processor: ARM(armebai-v7a) and above
 RAM: 512 Mb
 Disk space: Min. 1Gb
 Device GPS

10.  Software Requirement:
 For developing the application:
Operating System: Windows 7/8
Language: JAVA, XML, php, MySQL
Tools: Android (IDE)
Debugger: Android Dalvik Debug Monitor
Service
 For running the application:
OS: Android 2.2 or higher version

11.  Low Pass filter Algorithm
The Android sensor framework lets you access
many types of sensors. Two very basic types
are:
1. Hardware Sensors.
2. Software Sensors.

12.  Hardware sensors are physical components
built into a handset or tablet device. They
derive their data by directly measuring
specific environmental properties, such as
acceleration, geomagnetic field strength, or
angular change. For example:
Sensor.TYPE_ACCELEROMETER",
Sensor.TYPE_MAGNETIC_FIELD

13.  Software sensors are not physical devices,
although they mimic hardware-based sensors.
Software-based sensors derive their data from
one or more of the hardware-based sensors
and are sometimes called virtual sensors or
synthetic sensors. For example:
Sensor.TYPE_ORIENTATION,
Sensor.TYPE_ROTATION_VECTOR

18.  Our application is reliable but it’s not 100%
accurate and can produce still more accurate
results if we use gyro sensors. However we
have applied low pass filter to improve the
accuracy of our application.
 Compass tends to go crazy near magnetic
devices.
 Markers overlap each other to resolve this
problem we can use better plotting system.

19.  By combining the accelerometer sensor and
magnetic sensor and by applying low pass
filter we can get orientation of device. Fix
location can be calculated using GPS and with
the help of latitude and longitude we can
receive the nearby data of selected categories
 Rather than using polling Pushing is better
because it saves battery whenever our server
has data to send to all application it can send
that data to all devices.

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