Smart Barcode Based Trolley for Automated Billing Using Image Processing Technique

International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395 -0056
Volume: 04 Issue: 06 | June-2017 www.irjet.net p-ISSN: 2395-0072
© 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 112
Smart Barcode Based Trolley for Automated Billing Using Image
Processing Technique
Shweta. B. Vernekar1, V. Ashwini2
1Student, Department of ECE, BMS College of Engineering, Bangalore, India
2Assistant Professor, Department of ECE, BMS College of Engineering, Bangalore, India
---------------------------------------------------------------------***---------------------------------------------------------------------
Abstract - Shopping mall is a place where almost
every people in the city goes to shop the daily
requirements of life such as food, clothing, electrical
products etc. [1] Almost the weekends of the week are
meant for shopping at these kinds malls. Malls are very
common in the metro cities when compared to towns.
The space of these malls is also very wide which helps
the customers to shop spaciously without any
congestion. All the products which are present in the
mall are provided with barcodes. Barcode is the oldest
technology since we have used it from years. Each and
every product has a barcode which is been put at the
back of the product. Trolleys are normally used in malls
for shopping purposes. As all of us know about the
crowd that occurs near the billing counters for final
billing which is very time consuming. Customers will
also be not aware of the price and also the number of
products they have put into the trolley. In this paper, we
building a system in order to overcome this problem by
doing automated billing at the trolley itself by getting
the details of cost of each and every product and also
having count of the number of products put into the
trolley by modifying or adding more features to the
existing barcode system which becomes a cost-effective
system since we only add additional features to the
existing system. We have used a Raspberry Pi for the
purpose of controlling, an LCD for displaying the cost of
the products which the customers put into the trolley, a
camera to click the pictures of the barcodes of the
products and LabVIEW for the purpose of decoding the
barcode and ID.
Key Words: Barcodes, ID, Raspberry Pi,
Webcam, LCD display, Beeper, Switch, LabVIEW.
1. INTRODUCTION
A mall is a place where we find almost all the items.
Almost the weekends of the week are meant for shopping
at these kinds malls. Malls are very common in the metro
cities when compared to towns. The space of these malls is
also very wide which helps the customers to shop
spaciously without any congestion. As the city and
technology are improving, the infrastructures of these
malls are also improving on that basis. [2] Improving of
these malls along with the technology is also very
important since the customers also expect the higher
version of comfortable. All the products which are present
in the mall are provided with barcodes. Barcode is the
oldest technology since we have used it from years. Each
and every product has a barcode which is been put at the
back of the product. These barcodes require a straight line
of sight in order to get recognized which is one of the
disadvantages. It is also very slow in terms of speed. As all
of us know, while we enter the shopping malls, we need to
take a trolley along with us so that we can drop the
products which ever we want. After putting all the
products which customer wants, they will have to go to the
billing counter for paying the bill. If in case, there are many
people standing in the queue at the billing counter then we
will have to wait in queue till our chance to get the final
billing done. There the billing person, scan barcode of each
and every product and then gives the final bill which is
very time consuming. It also requires lot of man power at
the billing counters. [3] In case if the total cost of the
products exceeds the budget of the customer, then he or
she will have to remove the products so that it matches the
total cost of the products which is very embarrassing.
Thus, there are certain issues with the existing system of
barcode.
 Customers are not satisfied because of waiting at
longer queues. [4]
 Requires of lot of man power which is expensive.
 Unaware of the total cost of the products.
In order to overcome these issues, we have come
with a design such that it avoids these problems. We have
built a design such that it does automated billing and
reduces the customer’s time and also does not require too
much of man power, hence less expensive. [5] Also, no
need of customer standing in longer queues. We have also
overcome the issue of the customer being aware of the
total cost of the product before going to the billing counter
which also gives the customer shopping satisfaction.

2. BLOCK DIAGRAM
2.1 Billing Unit
Fig 1: Billing Unit
The billing unit consists PC that acts as a server
within which we will be using LabVIEW in order to start
billing at the trolleys. LabVIEW acts as a single server in
that particular mall where all the trolleys are being
operated or accessed from there. Wi-Fi is being used so
that the values of the barcode and ID that are decoded is
sent back to the Raspberry Pi. Also, a program is being
written at the LabVIEW i.e. writing to a file is programmed
and from that the data is written back into the raspberry
pi such that from there it goes to the LCD and all the
details of that particular product is being displayed for the
customer purpose.
2.2 Trolley Unit
Fig 2: Trolley Unit
In this unit, the Raspberry Pi is connected to the
camera. There is a button used which when pressed clicks
the picture of the barcodes of the product and adds the
cost of the products to the total bills and displays onto the
LCD. There is also a beeper used so that it beeps soon the
picture of barcode is clicked in order to inform customers
that they can drop the product into the trolley.
3. HARDWARES USED
3.1 Switch
This hardware is used in such a way that only when it is
pressed the camera clicks the picture and further
operations is performed.
3.2 Beeper
It is a device which produces sound when certain
operation to which it is programmed performs
successfully.
3.3 Quantum PC Webcam
This is used to click the pictures of the barcodes of the
products so that they are decoded later and the products
can be recognized easily.
3.4 LED
It is used so that there is enough light and the barcode
pictures are clicked in such a way that they are visible
clearly.
3.5 LCD Display
This is a 16x2 segmented display. This is used for
displaying the last result for the customer purpose.
3.6 Raspberry Pi
This is the control unit which we have used since it is a
low-cost computer. We have used this because of its
compact size, low power. It supports LINUX operating
system and also has an SD card. It supports all kinds of
languages, networking and devices and also supports
multi functions.
4. SOFTWARE DESCRIPTION
4.1 Samba File Server
This is a server that is used for the networking purpose in
order to share the files or folders between Raspberry Pi
and any other device like PC or laptop.
4.2 LabVIEW
This software we have used at the billing unit so that it
performs all the decoding of the barcode and ID of the
products. In this only we have several techniques for the
decoding and getting details of the products.
5. TECHNIQUES USED
5.1 Barcode Detection
In this barcode detection, the barcode lines are being
decoded and value or data related to that barcode is been
decoded and detected. In this barcode detection flow
diagram, that output barcode read which has 2
information i.e. the data and barcode type is given as an
output to the comparison diagram to compare that data
value and ID to give the details of an item. Since that
barcode read has 2 information, we cannot directly give
that entire value of barcode read as an input because we

want only the data value and not the barcode type for the
comparison.
The data value should be extracted from the barcode read
and hence we use an index array function. We have given
the index as 0. Here the data value and barcode type is in
an array. That output is given as an indicator. That
indicator value is given to something called as Unbundled.
This tool is used to unbundle the information and take
information which ever the user wants.
5.2 Pattern Matching
For the pattern to match, there are 2 steps that needs to be
done. They are learn and load.
1. Learn
This is required as a memory. We learn all the ID of the
products and keep them stored in the database of these ID
or the memory. Learning is done by selecting that
particular position where the ID values are there and then
pressing the learn button. This is done so that during the
pattern matching operation i.e. when we load the image,
the detected IDs match with these learnt IDs which in turn
means that the product is being identified.
2. Load
This is used for checking the match between the IDs that
are detected and the one that is stored in the database. It
just the normal running of the pattern matching block
diagram.
5.3 Comparing the detected barcode and ID
After the barcode detection and pattern matching, it is
very much required to compare these two in order to
check if the index number or the position of these barcode
and ID pattern matches. If there is a match then that
particular row product details will get extracted from this
code and gets displayed on the LCD for customer
convenience.
6. OPERATION OF THE SYSTEM
 Before the start of shopping, the trolley number is
being checked with the database of the trolley
numbers. If they match then the permission for
shopping for that particular customer is given.
 When the customer purchases a product, she/he
should press a button to indicate that he/she is
adding the product and hence cost should be
added.
 Then the customer should first hold the product
in front of the camera. There will be a buzzer
which beeps to indicate that the camera captured
the picture of the barcode ID and now it can be
placed into the trolley.
 While the camera clicks the picture of barcode
and ID of the product, the picture captured by the
camera is transferred to the Raspberry Pi.
 From the Raspberry Pi, the picture is being sent
to the PC (LabVIEW) by using a software called
Samba which is used for networking purpose
between Raspberry Pi and PC.
 There in the LabVIEW, the particular folder path
should be given where the clicked pictures are
being stored. The authentication happens
automatically where the file of the picture gets
loaded on to the folder path and then the barcode
and ID gets decoded using a pattern matching and
barcode detection methods, which is at the billing
counter.
 Once the image comes into the file path,
automatically authentication starts which means
the image gets loaded into the program and its
operation is performed.
 The decoded value is being internally checked
with the database of the product that would be
already stored into the system’s memory.
 The information of all the products would have
been stored at the database depending on the
barcode and ID with all the information such as
name of the product, price, weight.
 If matches are found then name of respective
product, price and weight will be sent back to the
Raspberry Pi from the LabVIEW. Before sending
back to the raspberry pi, every detail should get
printed into a bill and at the end, a final bill is
being generated and then from Raspberry Pi the
details will be sent to LCD which gets displayed
there.
 As the product is being put into the trolley, the
price of that particular product is being displayed,
hence simultaneously updating the total cost in
the PC and also displaying it on the LCD as when
the product is put into it.
 Every time the product is put into the trolley, the
total price should keep updating so that the
customer is aware of the total cost.
 If we want to remove item from the trolley, then
there will be another button that should be
pressed. It will be possible to only remove the last
put product. Hence total cost decreases
depending on the price of that product.
 Checking weight is mainly done for security
purpose. If in case while wandering round the
mall someone removes the barcode or ID and put
the product in trolley, then weight of items helps
to get information of items purchased.
 Once the shopping is done, the customer can go to
the billing counter, pay the bill by not waiting in
longer queues.

7. FLOWCHART
Fig 3: Flowchart for the operation of the system
8. RESULTS AND DISCUSSION
The result obtained from the above system: This is the
database of the products to which the decoded value of the
barcode is compared with. In the database, we would have
stored each and every detail of the product such as
barcode value, its name, product’s weight and also the cost
of it. Depending on that the details gets displayed on to the
LCD.
Fig 4: Database of the products
The next step after capturing the image of the barcode of
the product, the barcode value should now be decoded
using barcode detection method. This is how it looks when
the barcode is being detected.
The file path there in the picture is the path for the image
whose barcode we want to check. So, every time we
should always give the path of the image.
The unbundled barcode is the value of the barcode that is
being detected. The pattern image is nothing but the ID
that is being matched.
Fig 5: Detection of the Barcode and ID
The index is nothing but the positions of the barcodes and
ID in the database table. Depending on the recognition, the
index number we get and depending on the index number
we get the details of the product.
Fig 6: Extracted details of a product
That extracted detail should get printed into the final bill
for the customer reference. As the details of the product
are being extracted, it should go back to the Raspberry Pi
by writing a code known as writing to a text file in the
LabVIEW. That details will then get displayed on to the
LCD for the customer convenience.

Fig 7: Final Bill
This final bill is then passed to the Raspberry Pi in order to
get displayed on the LCD for the customer convenience.
Fig 8: Display of the product details
9. FUTURE WORK
I. Developing a platform near the exit of the mall in order
to cross check the total weight of the products for the
security purpose.
II. Applying IOT concept at the billing counter so that the
total amount of the shopping done at the malls is sent to
the head office for the accounting purpose.
REFERENCES
[1] Mrs.Meenakshi M.E., Joshiba Amali.S, Divya P.M, “Smart
Trolley and Automatic Billing”, International Journal of
Advanced Research in Biology Ecology Science and
Technology(IJARBEST), Vol. I, Special Issue I, August 2015
in association with Vel Tech High Tech Dr. Rangarajan Dr.
Sakunthala Engineering College, Chennai.
[2] Galande Jayshree, Rutuja Gholap, Preeti Yadav, P.R.E.C.
Loni, Ahmednagar, “RFID Based Automatic Billing Trolley”,
International Journal of Emerging Technology and
Advanced Engineering Website: www.ijetae.com (ISSN
2250-2459, ISO 9001:2008 Certified Journal, Volume 4,
Issue 3, March 2014).
[3] Murulidhara N, SreeRajendra, “Automated Shopping
and Billing with Product Inventory Management System”,
July 2015 | IJIRT | Volume 2 Issue 2 | ISSN: 2349-6002.
[4] S. Sainath, K. Surender, V. Vikram Arvind Final Year,
Department of Computer Science and Engineering
Hindustan University Chennai, India, J. Thangakumar,
Ph.D. Assistant Professor, Department of Computer
Science Hindustan University, Chennai, India, “Automated
Shopping Trolley for Super Market Billing System”,
International Conference on Communication, Computing
and Information Technology (ICCCMIT-2014).
[5] Udita Gangwal, Sanchita Roy, Jyotsna Bapat,
International Institute of Information Technology –
Bangalore, “Smart Shopping Cart for Automated Billing
Purpose Using Wireless Sensor Networks”, Sensorcomm
2013: The Seventh International Conference on Sensor
Technologies and Applications.

Smart Barcode Based Trolley for Automated Billing Using Image Processing Technique

More Related Content

What's hot (20)

Similar to Smart Barcode Based Trolley for Automated Billing Using Image Processing Technique (20)

More from IRJET Journal (20)

Recently uploaded (20)

Smart Barcode Based Trolley for Automated Billing Using Image Processing Technique