IRJET- Artificial Intelligence based Smart ATM

International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 06 Issue: 11 | Nov 2019 www.irjet.net p-ISSN: 2395-0072
© 2019, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 1087
Artificial Intelligence based Smart ATM
Ankita Mahajan1, Radhika Mande1, Avinash Mhaske1, Parth Shete1, Dr. S. B. Dhoot2
1Polytechnic Scholar, Electronics and Telecommunication Department, Government Polytechnic Aurangabad,
Maharashtra, India
2Professor, Electronics and Telecommunication Department, Government Polytechnic Aurangabad,
Maharashtra, India
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ABSTRACT - In the modern world we are witnessing ATM
system for performing financial transactions to withdraw
money, to transfer money, to check saving account and so
on. The current ATM system uses ATM card and PIN for
authentication purpose. This system suspects too many
security issues. So in this paper we are proposing an
advanced ATM security system to avoid theft into ATM.
Using fingerprint authentication for accessing the user
account using his unique id given in the bank details. In this
process, bankers will collect customers fingerprint, mobile
number, email and name. This personal details of a specific
user will be stored into back end that is in the banks
database. This insures developed system more secured
rather than current system which uses just on identification
we are proposing some more additional features such as
automatic door mechanism during theft with message to
cops and alarming simultaneously. Image processing is used
in CCTV as well as cash tray. Artificial inelegance program is
used to remove illiteracy and to make interaction easy. The
main objective of proposed system is to avoid a theft and
instead of relying on pin number as a security the multiple
layers of security is enhanced and implemented.
Key Words: ATM, biometric, GSM, image processing,
artificial intelligence.
1. INTRODUCTION
ATM is an automated teller machine which is a
computerized telecommunication device that provides
customer with access to financial transactions in public
space without the need for human clerk or bank teller. The
first ATM was installed in Enfield town in London on June
27, 1967 by Barclays bank. ATM’s are named by various
other names like automated transaction Machine,
Automated Banking Machine, Cash point (at Britain), Hole
in the wall, Ban comet (In Europe and Russia), Any time
money (India)[5]. In modern world, money is required at
any time or anywhere for travelling, shopping and health
emergencies we need to carry Money. It increases the risk
of robbery at any instant, where bank is the safest place to
keep our money .It provides automated teller machine
(ATM) which can provide money at any time at any
location .So ATM has provided us with all the benefits .We
are encouraged here to add some more sorts of security
features inside the current ATM system and so through this
paper we are proposing here further security by adding
secondary stage of prevention to the current ATM system
and to the existing security system by using biometric
authentication and AI for easy interaction . Authentication
and verification has always been the part to worry about
security and confidentiality of the consumers. In rapid
changing world it is not easy to maintain integrity and
authenticity of a person. To prevent the frauds we need
some full proof security solutions which we can use along
with current available technology. We are using artificial
intelligence Biometric authentication, automatic door lock
system, image processing inside cash tray for detection of
insufficient funds and currency scanning so that the torn
notes will be scanned and removed. Also using this feature
we will limit the mass entry inside ATM room by detecting
number of heads. Combinations of all these technologies
may help in reducing the ATM frauds and hence can
improve the security level of other financial transactions.
2. LITERATURE SURVEY
2.1 Biometric authentications to control ATM theft-[2]
In this paper it is proposed that the way banking and
transaction system is changing in the world ,the validation,
authentication and confirmation of a person is very
important and should be of more concern .So biometric is
one of the best solution for security of the system and can
be added to maintain authentication and confidentiality.
Instead of going just for PIN identification and verification
fingerprint scanning, iris scan, palm scanning can be used.
Even we can use voice recognition. Combinations of such
technologies may help in reducing the ATM frauds and
hence can improve the security level of other financial
transactions .There are many ways of biometric scanning
these are
• Fingerprint verification
• Face recognition

• Scanning of retina
• Scanning of hand geometry
• Scanning of vein geometry
• Iris scanning
• Signature biometrics
• Voice analysis
2.2 Card less ATM system: In this paper it is
proposed to add embedded system that uses Biometric or
PIN identification. ATM system is susceptible to many
types of frauds such as theft of ATM card, Lebanese Loop,
Skimming etc. This system will maintain the personal
information of a user inside the bank’s database at the back
end .Fingerprint of the entire user who wishes to access
account are taken. This system first fetches the fingerprint
of a specific user who wish to perform transaction .If
fingerprint is matched then user will get direct access
without performing PIN procedure or any other procedure.
If password or fingerprint matches then the required
transaction can be performed [6].
3. EXISTING METHOD
When ATM card is inserted into card slot the information
present on the magnetic strip is read by two card readers
present in the card slot. One card reader looks for special
code which confirms that card is real. Second card reader
grabs account number and password to check against what
you entered. If authentication is successful then ATM
connects with bank server through telephone network.
Now user can perform bank transactions and when
transaction is completed card comes out through ATM slot
and user automatically logs out. Counting machine is
present to count number of notes and receipt comes
through printer which gives you information about
transaction completed.
• User needs to perform one of the following
transactions:
1. Cash transfer
2. Cash Withdraw
3. Balance Enquiry
4. Password change
This is just general method of what happens.
4. PROBLEM STATEMENT
There are several methods through person can hack into
the customer’s account can steal the money from the
customer’s account. This is as follows:
1. Skimming: A device is been installed into the card slot
and all the information is read from onto the card. A small
pinhole camera is fixed above the keypad which takes up
all this information. By the help of this information a
duplicate card is made by the criminal and can access the
customer’s account.
2. Lebanese Loop: In this type of fraud, the criminal installs
the device due to which card gets locked into the slot the
time when transaction completes that time the machine
pushes out the card now since the card is locked. The
customer moves away from his place for complaining and
by the time criminals comes out and will unlock the card
and will draw all the money from users account.
3. Lost or stolen card: If the card is lost or stolen that time
too there is possibility that users account can be access by
criminal.
By many such techniques criminals can access your
account. If biometric with some additional security is used
then these frauds can be minimized.
5. PROPOSED METHOD
In our proposed system, in addition with biometric we are
accessing some of the more features inside an ATM system
like
• Automatic door lock
• AI based image processing and currency scanning
• Voice accessible machine using AI
• Insufficient deposits in a tray can be detected
• Message to the cops if something wrong is detected by
using GSM module
Fig.1 Block diagram of proposed method.

 Limitation system- In this system it contains CCTV
as a hardware part and image processing as a
software part in which system detects number of
heads present in ATM room and limit the person
entry as desired by bank rules .
 AI process – CCTV sends signals to the ATM
machine where AI responds to the extra head to go
out and wait and it also welcomes the user.
 Biometric recognition – As the information of the
user is already stored on cloud via bank. Using this
technology time will be saved and user can get
access only with biometrics and doesn’t need to
follow the old long procedure.
 AI instruction- Here without touching the ATM
machine or buttons user uses voice commands to
withdraw money or any other activity. User can
access by speaking local languages.
 Image processing – This technique is used inside
cash tray of ATM machine for detection of
insufficient funds and torn notes.
 GSM – The GSM module will send message to user
and bank for withdrawal of money.
Fig 2 – Block diagram for avoiding theft
 Auto door lock mechanism – During theft either
CCTV or motion sensor will detect illegal action.
Signal to the stepper motor will be given to lock
the door.
 GSM- As soon as illegal motion is detected
message or ring to the nearest cop station will be
sent.
 ALARM- As soon as illegal motion is detected
alarm will start to buzz for residents nearby.
 Moreover, the machine can be operated by blind
persons. If found disabled, the mechanism could
improve the accessibility of ATMs for handicapped
people.
Components Required:
1. R305 fingerprint sensor
2. Arduino UNO
3. GSM Module
4. Motion sensor
5. Camera
6. Stepper Motor
7. Buzzer Alarm
5. FUTURE SCOPE
▪QR code recognition.
▪scanning of microchip on ATM card
▪releasing chloroform via air conditioner during theft
whenever illegal moments
Are detected.
▪If the person who can’t speak will perform transaction
by the use of actions that webcam will detect and AI
will respond
CONCLUSION:
The problem of ATM theft and misuse of ATM card has become a major source problem in the society. From the above
conceptual model it has been cleared that biometric ATM system is highly secured as it provides authentication. Multimode
biometric can be implemented to enhance the security level of the ATM organization [4].This paper identifies a high level
model for the modification of existing ATM system by updating biometric authentication, automatic Door lock, AI based image
processing and currency scanning system.
REFERENCES
1. Multi authentication ATM theft prevention using ibeacon- Manoj V, Moulishankar R, Sasipriya S, Usha Devi E, Devika
t.UG student knowledge institute of technology, Salem.
2. ”Biometric authentications to control ATM theft” Ahmad Tasnim Siddiqui, College of computers and IT Taif University,
Kingdom of Saudi Arabia.

3. ATM security using fingerprint authentication and OTP-Aruna r, Sudha v, Shruthi G,Usha Rani R, Sushma V
,Department of electronics and telecommunication Engineering, Shri Sairam College of Engineering, Anekal,
Bangalore.
4. A Biometric based ATM Security System using RFID & GSM Technology, India
5. S.Naga Gowri1 | R.Durga Devi2 | P.Gowshalya3 1, 2,3UG Scholars, Department of ECE, Roever Engineering College,
Perambalur, India www.ijsrp.com ATM security by kavita Hooda
6. Cardless ATM system-Rushikesh Kulkarni (B.E.) | Muzammil Madki (B.E.) | Tejas Mapari (B.E.)

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