Akanksha static and do not provide any

Akanksha Ambavade1, Sagar Rathod 2,
Prashant More3, Anuja Doke 4

Prof. S.V.Athawale 5
(Guide), Computer Department, A.I.S.S.M.S. C.O.E,

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1, 2, 3, 4Computer Department, A.I.S.S.M.S. C.O.E.



Abstract— Big
shopping malls usually provide a directory to their available shops, but these
directories are most of the time static and do not provide any interactivity
features to the visitors. In this work, we present a mobile shopping mall
navigator. The main reason behind our conceptual idea of our proposed project
is because we feel that when visitors often change their plan to go to other
shops instead of the ones in their minds, it can be full of effort especially
considering the crowded levels and location of the navigation material. The
application developed is practical and feasible; Smart phones have become very popular these
days, so we have combined the idea. Smart phone application helping you in an
alienated mall. The idea revolves around our smart phones & the

“Wi-Fi” provided by the
mall. An application that needs real-time, fast, & reliable data



Technical Keywords —  Indoor navigation, barcode
scanner, Wi-Fi router



Shopping is the traditional way of shopping where the customers choose their
wished product and carry the products along with them. Traditional shopping is
a tedious and time consuming job. In traditional shopping, the customer has to
wait in long queues at the cash counter. This consumes lot of time and energy
of both the shopper as well as cashier. To overcome this law, the customer himself
can scan the barcode using his mobile while making purchase, retrieve essential
details of all products from shops database and generate bill himself. This
bill can be sent to the customer’s mobile through online banking service thus
the user can make quick payment and leave the shop early. The Barcode of the
product is scanned by the customer and move to the wish list if they are interested
in choice of item by using the proposed mobile application. In order to develop
an Android Application that uses a barcode scanner for the purchasing and
navigation of items for store that will be self-checking and automatic payment
transaction. Here comes the term indoor navigation and barcode scanning. Indoor
positioning is still a challenging problem because satellite-based approach do
not work properly inside buildings.


are ubiquitously used to identify products, goods or deliveries. Devices to
read barcodes are all around, in the form of pen type readers, laser scanners or
LED scanners. Camera-based readers, as a new kind of barcode reader, have
recently gained much attention. The interest in camera-based barcode
recognition is built on the fact that numerous mobile devices are already in
use, which provide the capability to take images of a fair quality. This
describes the hardware system architecture for implementing the barcode reading
system in mobile phones and its process. The camera device and application
processors are necessary hardware components for the system. The application
processors is needed to implement the camera interface, LCD controllers , DSP
for image processing, and application host in CPU for real-time computations.
The application processor works for displaying the menu and preview of the
display and computing of code recognition and decoding in real-time. With these
systems, the user can control the position of the camera of smart-phone and
decides the capture timing of barcode.


Related Work


and reliable real-time indoor positioning on commercial Smart-Phones


Author: Gennady Berkovich

This paper outlines the software navigation engine that was developed by SPIRIT
Navigation for indoor positioning on commercial smart-phones. A distinctive
feature of our approach is concurrent use of Wi-Fi and BLE modules, together
with the floor premises plan are used for hybrid indoor positioning in the
navigation engine. Indoor navigation software uses such technologies as PDR and
map matching. There is no need to enter initial position manually where it can
be determined by GPS/GNSS (Global Navigation Satellite Systems) receiver. The
automatic recovery of tracking in this case allows continuing tracking and
increasing availability of indoor navigation. Positioning results given for
different indoor environments in a shopping mall with accuracy of about 1-2 m.


Indoor positioning of wheeled
devices for Ambient Assisted Living: A case study


Author: Payam Nazemzadeh, Daniele
Fontanelli, David Macii, Luigi Palopoli

navigation is a well-known research topic whose relevance has been steadily
growing in the last years thrust by considerable commercial interests as well
as by the need for supporting and guiding users in large public environments,
such as stations, airports or shopping malls. People with motion or cognitive
impairments could perceive large crowded environments as intimidating. In such
situations, a smart wheeled walker able to estimate its own position
autonomously could be used to guide users safely towards a wanted destination.
Two strong requirements for this kind of applications are: low deployment costs
and the capability to work in large and crowded environments. The position
tracking technique presented in this paper is based on an Extended Kalman
Filter (EKF) and is analysed through simulations in view of minimizing the
amount of sensors and devices in the environment.


and Tools to Construct a Global Indoor Positioning System


Author: Suk-Hoon Jung, Gunwoo Lee, Dongsoo Han

GIPS is a system that provides positioning services in most buildings in
villages and cities globally. An unsupervised learning-based method is adopted
to construct radio maps using fingerprints collected via crowd sourcing and a
probabilistic indoor positioning algorithm is developed. An experimental GIPS,
named KAILOS was developed integrating the methods and tools.  The more volunteers who participate in
developing indoor positioning systems on KAILOS-like systems, the sooner GIPS
will be realized.


android-based indoor parking lot vehicle locator using QR-code


Author: Siti Fatimah Abdul Razak, Choon Lin Liew, Chin Poo Lee, Kian Ming

this study, we report on an android based application development aimed to
provide navigation services to locate parked vehicles in an indoor parking
space of shopping malls. We utilize the motion sensor, bar code scanner
function and camera function built in smart-phones. This application is able to
show the route from user current location to his parked vehicle based on an
indoor map of the parking area stored in a database.


the antenna orientation effect on indoor Wi-Fi positioning of mobile


Author: Da Su, Zhenhui Situ, Ivan
Wang-Hei Ho

this paper, we implement a practical and convenient indoor positioning system
based on the fingerprint method and Kalman filter on Android mobile devices.
This paper  discusses the positioning
algorithms and addresses various challenges in practical application, such as
the effect of antenna orientation and signal fluctuation. Specifically, an
improved mapping algorithm based on k-nearest neighbour (K-NN) is introduced to
tackle the orientation effect, and an orientation-based fingerprint database is
established through studying the received signal strength patterns in different
directions to handle the large fluctuation caused by orientation change.
Finally, our experimental result indicates that the proposed IPS can achieve up
to 1.2 meters accuracy, is sufficient for 
various navigation services in 
indoor environments (e.g., shopping malls).


Geomagnetism and Crowd sensing Powered Indoor Navigation


Author: Chi Zhang, Kalyan P. Subbu, Jun Luo, Jianxin Wu

paper propose GROPING as a self-contained indoor navigation system independent
of any infrastructural support. It relies on geomagnetic fingerprints that are
far more stable than Wi-Fi fingerprints, and it exploits crowd sensing to
construct floor maps  than expecting
individual venues to supply digitized maps. Based on our experiments with 20
participants in various floors of a big shopping mall, GROPING is able to
deliver a sufficient accuracy for localization and thus provides smooth
navigation experience.

Existing System


People have to search exact product in
the mall with wide range of available brands. Sometimes they will ask for help
in searching product to assistant but may be they also don’t know the exact
position. Customers have to Wait in the billing line to scan the products.


In foreign countries there are some
mall which use indoor navigation. To use this system user should go to the
particular LED/LCD screen and search for product location. But on the weekends
or holidays there is too much  rush, so there
can be number of  people waiting in queue
to search  their product,   which is little bit time consuming.


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