1. have good looking icon through which the



Rui Zhang et al present an approach to determine
indoor location from within smart phones 1. The
method utilizes the devices accelerometer and gyroscope
sensors to recursively calculate the position based on acceleration and angular
rate of movement (Pedestrian Dead Reckoning). Calibrating sensors prior to
calculation can greatly increase accuracy.

Trehard et al. presents a solution by integrating an
anemometer to the smart phone for speed estimation.in
their approach 2, the orientation information is obtained directly from the
smart phone,
which will be easily
disturbed by local magnetic ?eld and cannot be relied on to achieve high positioning accuracy.

Kim and Kim use geomagnetic
?eld to obtain the position
information in 3. However, the database in respect of geomagnetic ?eld at each
location has to be constructed previously.

There is another approach called collaborative positioning, which uses
communication to improve positioning accuracy 4. Collaborative positioning
can reduce cumulative positioning error of PDR using communication, when PDR and communication are
both enabled in the smart phones. There are several participants who have a Smartphone, walking
independently of each other. They conduct PDR to estimate their position but
this includes cumulative positioning error. Collaborative positioning has the
participants communicate and measure the range between each other and then correct each of
their positions to make them consistent with the range information. . . . . . . . . .

In the Play-store we have seen many app related to
this one but have included
some new feature in this app and also make it more efficient.by improving its speed through some coding
techniques. This app have good
looking icon
through which the user attracted to this app. Previous apps do not have all the features which are included
in our application. This application is divided in different modules and work on
those modules one by one. Every module is
performed after full information how the module make
efficient. Every module is performed
after making its own diagrams like sequence diagram, DFD etc.




By utilizing Bluetooth is proximity, not about correct
location. Bluetooth was not planned to offer a stuck location like GPS, however
is known as a geo-fence solution which makes it an indoor proximity solution,
not an indoor positioning system. Miniaturized scale mapping and indoor mapping
has been related to Bluetooth. Many indoor positioning system based on iBeacons has been executed and connected practically

RFID tags:

RFID tags that contain their own particular power source are
known as dynamic tag. Those without a power source are known as detached tag. A
detached tag is quickly initiated by the radio frequency (RF) scan of the reader.
The electrical current is little – by and large sufficiently only for
transmission of an ID number. Dynamic tags have more memory and can be perused
at more prominent reaches. They are costly and not accessible in each building.


We propose a mobile
application which will be able to estimate the position of a user within a building
by using WIFI technology. By scanning Wi-Fi signals surroundings the smartphone
with Android application it will locate the position of the phone/person through
calibrated data.

To perform the
experiments, a prototype Android application of an indoor positioning system
that works entirely on the user’s device without requirement to have a back-end
server was developed. The application allows determining the position of the
device built-in Wi-Fi chipset. The application works in the three location
?ngerprinting phases add data phase, load data phase and locate phase.

During the add data
phase, user can select the reliable access points for that particular building.
This rule out readings from other access points from being considered for
calculation. In the add data phase, the available Wi-Fi access point RSSs are
measured from di?erent positions in the
building. The measurements were taken for a de?ned period of time 9 seconds and
after that the average value is calculated and stored into the radio map.

In locate phase, the
application determines the actual position. RSS values of all the sensed APs
are measured and compared to the ones in the prepared radio map to get the
nearest neighbour and in load data phase user can download the calibrated data
related to desire building.


Wi-Fi can serve as a
potential candidate as an alternative to GPS as it is commonly found in
buildings. The strength of radio signals emanating from Wi-Fi routers is
inversely proportional to distance, this fact can be used to calculate an
approximate location of user in a closed environment. Such a system would be
useful for navigation inside malls, locating users inside a building etc. We
motivate the user by giving the demos to users that what is our app is
basically doing and tell about the functionality of our app and we also talk
about the benefit of the user’s that our app is user friendly attractive and
give demos to the users to attract and motivate the users that how our app is works.